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August 2021: Top Ten Cited Article in Wireless&
Mobile Networks
International Journal of Wireless & Mobile
Networks (IJWMN)
ISSN: 0975-3834 [Online]; 0975-4679 [Print]
http://airccse.org/journal/ijwmn.html
Google Scholar Citation
Citation Count – 390
A Wireless Sensor Network Air Pollution Monitoring System
Kavi K. Khedo1
, Rajiv Perseedoss2
and Avinash Mungur3
Department of Computer Science and Engineering, University of Mauritius,
Reduit, Mauritius
ABSTRACT
Sensor networks are currently an active research area mainly due to the potential of their
applications. In this paper we investigate the use of Wireless Sensor Networks (WSN) for air
pollution monitoring in Mauritius. With the fast growing industrial activities on the island,
the problem of air pollution is becoming a major concern for the health of the population. We
proposed an innovative system named Wireless Sensor Network Air Pollution Monitoring
System (WAPMS) to monitor air pollution in Mauritius through the use of wireless sensors
deployed in huge numbers around the island. The proposed system makes use of an Air
Quality Index (AQI) which is presently not available in Mauritius. In order to improve the
efficiency of WAPMS, we have designed and implemented a new data aggregation algorithm
named Recursive Converging Quartiles (RCQ). The algorithm is used to merge data to
eliminate duplicates, filter out invalid readings and summarise them into a simpler form
which significantly reduce the amount of data to be transmitted to the sink and thus saving
energy. For better power management we used a hierarchical routing protocol in WAPMS
and caused the motes to sleep during idle time.
KEYWORDS
Sensor Networks, Routing Protocol, Data Aggregation, Air Pollution Monitoring, Data
Fusion
For More Details : http://airccse.org/journal/jwmn/0510ijwmn03.pdf
Volume Link : http://airccse.org/journal/jwmn_current10.html
REFERENCES
[1] H. Karl and A. Willig, Protocols and Architectures for Wireless Sensor Networks, John
Wiley and Sons Ltd, The Atrium, Southern Gate, Chichester, West Sussex, England, 2005.
[2] D. Culler, D. Estrin, and M. Srivastava, “Overview of Sensor Networks”, IEEE Computer,
August 2004.
[3] K. Martinez, J. K. Hart, and R. Ong, “Environmental sensor networks”, IEEE Computer
Journal, Vol. 37 (8), 50-56, August 2004.
[4] A. Mainwaring, D. Culler, J. Polastre, R. Szewczyk, and J. Anderson, “Wireless sensor
networks for habitat monitoring”, Proceedings of the 1st ACM International workshop on
Wireless sensor networks and applications, Atlanta, Georgia, USA, 88-97, 2002.
[5] I. F. Akyildiz, D. Pompili and T. Melodia, “Underwater acoustic sensor networks: research
challenges”, Ad Hoc Networks, Vol. 3 (3), 257-279, May 2005.
[6] Y. Ma, M. Richards, M. Ghanem, Y. Guo and J. Hassard, “Air Pollution Monitoring and
Mining Based on Sensor Grid in London”, Sensors 2008, Vol. 8(6), 3601-3623.
[7] G. Hassard , M. Ghanem , Y. Guo , J. Hassard , M. Osmond , and M. Richards, “Sensor
Grids For Air Pollution Monitoring”, in the Proceedings of 3rd UK e-Science All Hands
Meeting, 2004.
[8] I. Khemapech, I. Duncan, and A. Miller, “A survey of wireless sensor networks
technology,” in PGNET, In the Proceedings of the 6th Annual Postgraduate Symposium on the
Convergence of Telecommunications, Networking & Broadcasting , Liverpool, UK, EPSRC,
June 2005.
[9] B. Warneke and K.S.J. Pister, “MEMS for Distributed Wireless Sensor Networks,” 9th
International Conference on Electronics, Circuits and Systems, Croatia, September 2002.
[10] B. Son, Y. Her, J. Kim, “A design and implementation of forest-fires surveillance system
based on wireless sensor networks for South Korea mountains”, International Journal of
Computer Science and Network Security (IJCSNS), 6, 9, 124–130, 2006.
[11] ALERT, Available from: http://www.alertsystems.org/, Accessed on: 14 August 2009.
[12] T.H. Keitt, D.L. Urban and B.T. Milne, “Detecting critical scales in fragmented
landscapes,” Conservation Ecology(online), Vol. 1, 1997.
[13] J. Heidemann et al., “Underwater Sensor Networking: Research Challenges and Potential
Applications,” USC/ISI tech. rep. ISI-TR-2005-603, 2005.
[14] I. F. Akyildiz, W. Su, Y.Sankarasubramaniam, and E. Cayirci, “Wireless Sensor Networks:
A Survey”, Elservier Computer Networks, Vol.38 (4), pp. 393-422, March 2002.
[15] A. Mainwaring , D. Culler , J. Polastre , R. Szewczyk , J.Anderson, Wireless sensor
networks for habitat monitoring, Proceedings of the 1st ACM international workshop on
Wireless sensor networks and applications, Atlanta, Georgia, USA, September 2002.
[16] DeerNet, Available from: http://blog.xbow.com/xblog/2007/10/deernet---caugh.html, Date
Accessed: 27 August 2009.
[17] R. Rajagopalan and P.K. Varshney, “Data-Aggregation Techniques in Sensor Networks: A
Survey,” IEEE Communication Surveys and Tutorials, Vol. 8 (4), pp. 48-63, December 2006.
[18] H. Albert, R. Kravets and I. Gupta, “Building Trees Based On Aggregation Efficiency in
Sensor Networks,” Ad Hoc Networks, Vol. 5 (8), pp. 1317-1328, November 2007.
[19] O. Younis and S. Fahmy, "Distributed Clustering in Ad-hoc Sensor Networks: A Hybrid,
EnergyEfficient Approach", In Proceedings of IEEE INFOCOM, Vol. 1, 629-640, March 2004.
[20] Q. Cao, T. He, L. Fang, T. Abdelzaher, J. Stankovic, and S. Son, “Efficiency Centric
Communication Model for Wireless Sensor Networks”, in Proceedings of IEEE INFOCOM, pp.
1- 12, 2006.
[21] JiST/SWANS, Java in Simulation Time / Scalable Wireless Ad hoc Network Simulator,
Available from: http://jist.ece.cornell.edu/index.html, Cornell University.
[22] D. Johnson, D. Maltz, and J. Broch, “DSR: The Dynamic Source Routing Protocol for
Multi-Hop Wireless Ad Hoc Networks”, In Ad Hoc Networking, Chapter 5, 139-172, Addison-
Wesley, 2001.
Citation Count – 273
APPLICATION OF WIRELESS SENSOR NETWORKS FOR
GREENHOUSE PARAMETER CONTROL IN PRECISION
AGRICULTURE
D.D.Chaudhary1
, S.P.Nayse2
, L.M.Waghmare3
1
Sinhgad Institute of Technology, Lonavala, Dist. Pune. MS. India
2
Ph.D. Scholar, Sant Gadgebaba University of Amravati. MS. India
3
Shri Guru Govind Singh Institute of Technology, Nanded. MS. India
ABSTRACT
The technological development in Wireless Sensor Networks made it possible to use in
monitoring and control of greenhouse parameter in precision agriculture. In last decades
there have been tremendous advancements in technology for agriculture and growth of final
yield. Due to uneven natural distribution of rain water it is very crucial for farmers to monitor
and control the equal distribution of water to all crops in the whole farm or as per the
requirement of the crop. There is no ideal irrigation method available which may be suitable
for all weather conditions, soil structure and variety of crops cultures. Green house
technology may be the best solution for this solution. All the parameters of greenhouse
require a detailed analysis in order to choose the correct method. It is observed that farmers
have to bear huge financial loss because of wrong prediction of weather and incorrect
irrigation method to crops. In this contest with the evolution in wireless sensor technologies
and miniaturized sensor devices, it is possible to uses them for automatic environment
monitoring and controlling the parameters of greenhouse, for Precision Agriculture (PA)
application. In this paper, we have proposed and analyse the use of Programmable System on
Chip Technology (PSoC) as a part of Wireless Sensor Networks (WSN) to monitor and
control various parameter of green house.
KEYWORDS
Greenhouse, Precision Agriculture, Programmable system on chip, Wireless sensor networks
For More Details : http://airccse.org/journal/jwmn/0211ijwmn13.pdf
Volume Link : http://airccse.org/journal/jwmn_current11.html
REFERENCES
[1] J. Burrell et al. Vineyard computing: sensor networks in agricultural production. IEEE
Pervasive Computing, 3(1):38–45, Jan-Mar 2004.
[2] Blackmore, S. (1994). ―Precision Farming: An Introduction. Outlook on Agriculture‖ 23(4)
4, 275-280.
[3] Ning Wang, Naiqian Zhang, Maohua Wang, ―Wireless sensors in agriculture and food
Industry —Recent development and future perspective, published in Computers and Electronics
in Agriculture 50 (2006) 1–14.
[4] R. Beckwith, D. Teibel, and P. Bowen, "Unwired wine: sensor networks in vineyards,"
2004, pp. 561- 564.
[5] A. Baggio, "Wireless Sensor Networks in Precision Agriculture," 2005
[6] I. F., Su, W., Sankarasubramaniam, Y., & Cayirci, E. (2002). ―Wireless sensor networks: a
survey on Computer Networks, 38, 393-422.
[7] Guide et al. Automatic data acquisition and control mobile laboratory network for crop
production systems data management and spatial variability studies in the Brazilian Centre-
West region. ASAE 2001 Annual International Meeting. Paper No. 01-1046, pp. 1-8.
[8] Lee et al. Silage yield monitoring system. ASAE 2002, Paper No.021165.
[9] Ning Wang, Naiqian Zhang, Maohua Wang,” Wireless sensors in agriculture and food
industry—Recent development and future perspective’ http://www.ecaa.ntu.edu.tw
[10] Cugati et al. 2003. Automation concepts for the variable-rate fertilizer applicator tree
farming. The Proceedings of the 4th European Conference in Precision Agriculture, Berlin,
Germany.
[11] K. Mayer, K. Taylor, and K. Ellis. Cattle health monitoring using wireless sensor networks.
In Second IASTED International Conference on Communication and Computer Networks,
Cambridge, Massachusetts, USA, Nov. 2004.
[12] T. Schoellhammer, B. Greenstein, E. Osterweil, M. Wimbrow, and D. Estrin. Lightweight
Networked Sensors (EmNetS-I), Tampa, Florida, USA, Nov. 2004.
[13] J. Thelen et al. Radio wave propagation in potato fields. In First workshop on Wireless
Network Measurements (located with WiOpt 2005), Riva del Garda, Italy, Apr. 2005.
[14] W. Zhang, G. Kantor, and S. Singh Integrated wireless sensor/actuator networks in
agricultural applications. In Second ACM International Conference on Embedded
NetworkedSensor Systems (SenSys), page 317, Baltimore, Maryland, USA, Nov. 2004.
[15] Rodríguez, F. Modeling and hierarchical control of greenhouse crop production (in
Spanish). PhD thesis, University of Almería, Spain, 2002.
[16] http://www.cypress.com.
[17] http://internetjournals.net
Citation Count – 141
PERFORMANCE COMPARISONS OF ROUTING PROTOCOLS IN
MOBILE AD HOC NETWORKS
P. Manickam1
, T. Guru Baskar2
, M.Girija3
, Dr.D.Manimegalai4
1,2
Department of Applied Sciences, Sethu Institute of Technology, India
3
Department of Computer Science, The American College, India
4
Department of Information Technology, National Engineering College, India
ABSTRACT
Mobile Ad hoc Network (MANET) is a collection of wireless mobile nodes that dynamically
form a network temporarily without any support of central administration. Moreover, Every
node in MANET moves arbitrarily making the multi-hop network topology to change
randomly at unpredictable times. There are several familiar routing protocols like DSDV,
AODV, DSR, etc… which have been proposed for providing communication among all the
nodes in the network. This paper presents a performance comparison of proactive and
reactive protocols DSDV, AODV and DSR based on metrics such as throughput, packet
delivery ratio and average end-to-end delay by using the NS-2 simulator.
KEYWORDS
MANET, DSDV, AODV, DSR, Throughput, Packet Delivery Ratio, Average End-to-End
delay
For More Details : http://airccse.org/journal/jwmn/0211ijwmn09.pdf
Volume Link : http://airccse.org/journal/jwmn_current11.html
REFERENCES
[1] C.Sivaram murthy, B.S.Manoj, Adhoc wireless networks:Architectures, and protocols,
Pearson Education, 2004.
[2] Mohammed Bouhorma, H.Bentaouit and A.Boudhir, “Performance comparison of Ad
hocRouting protocols AODV and DSR” ,IEEE 2009.
[3] Tao Lin, Scott F.Midkiff and Jahng S.Park ,”A framework for Wireless Ad hoc
RoutingProtcols”, IEEE 2003.
[4] Zuraida Binti Abdullah Hani and Mohd. Dani Bin Baba, “Designing Routing protocolsfor
Mobile Ad hoc networks”,IEEE 2003.
[5] Mehran Abolhasan, Tadeusz Wysocki and Eryk Dutkiewicz ,” A review of routing protocols
for mobile ad hoc networks”, Elsevier 2003.
[6] Tracy Camp, Jeff Boleng and Vanessa Davies, “ A Survey of Mobility Models for AdHoc
Networks Research”, Wireless communiaion & Mobile Computing (WCMC) 2002.
[7] Yih-Chun Hu and David B.Johnson “,Caching Strategies in On-Demand Routing Protocols
for Wireless Ad hoc Networks”,ACM 2000.
[8] H.M. El-Sayed,O.Bazon and U.Qureshi and M.Jaseemuddin “Performance Evaluation
ofTCP in Mobile Ad –Hoc Networks”.
[9] Manoj B.S., Ad hoc Wireless Networks: Architectures and Protocols, Prentice Hall ofIndia,
2004.
[10] Mansoor Mohsin and Ravi Prakash, “IP Address Assignment in a Mobile Ad Hoc
Network”, University of Taxas at Dallas, 2002.
[11] Sanket Nesargi and Ravi Prakash, “MANETconf: Configuration of Hosts in a Mobile Ad
Hoc Network”, INFOCOM 2002.”
[12] C.Perkins, “Ad hoc on-demand distance vector (AODV) routing” ,RFC 3561,July 2003
[13] D.Johnson, “The Dynamic Source Routing Protocol (DSR)”, RFC4728, Feb 2007.
[14] C.Perkins ,Praving Bhagwat, “Highly dynamic destination sequenced distance vector
routing (DSDV) for Mobile computers”.
[15] Dhiraj Nitnaware, Ajay Verma, “Energy constraint Node cache based routing protocol for
Adhoc Network”, IJWMN, Feb. 2010.
[16] Mehran Abolhasan, Tadeusz Wysoci, Eryk Dutkiewicz, “A review of routing protocols for
mobile ad hoc networks”, ELSEVIER , 2003.
[17] Changling Liu, Jorg Kaiser, “A survey of Mobile Ad Hoc Network Routing Protocols”,
University of Magdeburg, 2005.
[18] Md. Golam Kaosar, Hafiz M. Asif, Tarek R. Sheltami, Ashraf s. Hasan Mahmoud,
“SimulationBased Comparative Study of On-Demand Routing Protocols for MANET”.
[19] Thomas Heide Clausen, Phillippe Jacquet and Laurent Viennot, “Comparative Study of
Routing Protocols for Mobile Ad-hoc Networks”.
[20] Saiful Azadm, Arafatur Rahman and Farhat Anwar, “A Performance comparison of
Proactive and Reactive Routing protocols of Mobile Ad hoc Networks(MANET))”, Journal of
Engineering and Applied Sciences, 2007.
[21] Nadia Qasim, Fatin Said and Hamid Aghvami, “Mobile Ad hoc Networks simulations
using Routing protocols for Performance comparisons”, Proceedings of the world congress on
Engineering, WCE, VOL I, 2008.
[22] Wang Lin-zhu, FANG Ya-qin and SHAN Min, “Performance comparison of Two Routing
Protocols for Ad Hoc Networks”, WASE International conference on Information Engineering,
2009.
[23] C.Mbarushimana and A.Shahrabi, “Comparative study of Reactive and Proactive Routing
protocols performance in Mobile Ad Hoc Networks”, AINAW-IEEE, 2007.
Citation Count – 111
SINR, RSRP, RSSI AND RSRQ MEASUREMENTS IN LONG TERM
EVOLUTION NETWORKS
1
Farhana Afroz, 1
Ramprasad Subramanian, 1
Roshanak Heidary, 1
Kumbesan Sandrasegaran
and 2
Solaiman Ahmed
1
Faculty of Engineering and Information Technology, University of Technology, Sydney,
Australia
2
Department ofElectrical and Electronic Engineering, University of Dhaka, Bangladesh
ABSTRACT
The four basic Radio Resource Management (RRM) measurements in Long Term Evolution
(LTE) system are Channel Quality Indicator (CQI), Reference Signal Received Power
(RSRP), Reference Signal Received Quality (RSRQ), and Carrier Received Signal Strength
Indicator (RSSI). A measurement of channel quality represented by Signal to Interference
plus Noise Ratio (SINR) is used for link adaptation along with packet scheduling, whereas
RSRP and RSRQ are needed for making handover decision during intra-eUTRAN (evolved
Universal Terrestrial Random Access Network) handover in LTE. In this paper, some
practical measurement results recorded from a live LTE network of Australia using a
commercial measurement tool namely NEMO Handy are analysed to verify the possible
relationships among SINR, RSRP, RSSI and RSRQ as well as to evaluate the effects of SNR
on throughput. In addition, the intraeUTRAN handover events occurred during the test period
within the test area are studied. The analysis yields some useful information such as: if the
SINR is good for a measurement slot, higher throughput is achieved; RSRP and SNR are
proportional to each other on average; and lesser is the difference between RSSI and RSRP,
better is the RSRQ – each of which is consistent with theory. All the measurement results are
evaluated using computer programs built on MATLAB platform.
KEYWORDS
RRM, SINR, RSRP, RSSI, RSRQ, Link Adaptation, Packet Scheduling, Throughput,
Handover
For More Details : http://airccse.org/journal/jwmn/7415ijwmn09.pdf
Volume Link : http://airccse.org/journal/jwmn_current15.html
REFERENCES
[1] A. Ghosh and R. Ratasuk (2011), Essentials of LTE and LTE-A, Cambridge UK, New York:
Cambridge University Press.
[2] F. Afroz, K. Sandrasegaran and P. Ghoshal (2014), “Performance Analysis of PF, M-
LWDF and EXP/PF Packet Scheduling Algorithms in 3GPP LTE Downlink,” Australasian
Telecommunication Networks and Applications Conference (ATNAC), November 2014, pp.
87-92.
[3] F. Afroz (2014), Research in 4G Mobile Network, MES Project, University of Technology,
Sydney.
[4] J. Bannister, P. Mather and S. Coope (2004), Convergence Technologies for 3G Networks:
IP, UMTS, EGPRS and ATM, John Wiley & Sons.
[5] G. Piro, L. A. Grieco, G. Boggia, F. Capozzi, and P. Camarda (2011), "Simulating LTE
cellular systems: an open- source framework," IEEE Transactions on Vehicular Technology,
vol. 60, pp. 498-513.
[6] H. Holma and A. Toskala (2009), LTE for UMTS: OFDMA and SC-FDMA based radio
access, John Wiley & Sons Ltd.
[7] L. Luan, M. Wu, J. Shen, J. Ye and X. He (2012), “Optimization of Handover Algorithms in
LTE High-speed Railway networks,” International Journal of Digital Content Technology and
its Applications (JDCTA), vol. 6, no. 5.
[8] D. G. Ainscough (2001), The Evolution and Future of Mobile Communication Systems, ICT
Report. Available: http://www.foresightfordevelopment.org
[9] H. Holma and A. Toskala (2011), LTE for UMTS: Evolution to LTE-Advanced, Chichester,
West Sussex: John Wiley & Sons.
[10] S. Sesia, I. Toufik, and M. Baker (2009), LTE- The UMTS Long Term Evolution: From
Theory to Practice, Chichester, U.K. Wiley.
[11] 3GPP TS 36.214 version 11.1.0 Release 11 (2013), “LTE; Evolved Universal Terrestrial
Radio Access (E-UTRA); Physical layer; Measurements”. Available: http://www.etsi.org
Citation Count – 101
SMART LIVING USING BLUETOOTHBASED ANDROID SMARTPHONE
Ming Yan and Hao Shi
College ofEngineering and Science, VictoriaUniversity, Melbourne, Australia
ABSTRACT
With the development of modern technology and Android Smartphone, Smart Living is
gradually changing people’s life. Bluetooth technology, which aims to exchange data
wirelessly in a short distance using short-wavelength radio transmissions, is providing a
necessary technology to create convenience, intelligence and controllability. In this paper, a
new Smart Living system called home lighting control system using Bluetooth-based
Android Smartphone is proposed and prototyped. First Smartphone, Smart Living and
Bluetooth technology are reviewed. Second the system architecture, communication protocol
and hardware design aredescribed. Then the design of a Bluetooth-based Smartphone
application and the prototype are presented. It is shown that Android Smartphone can provide
a platform to implement Bluetooth-based application for Smart Living.
KEYWORDS
Android smartphone, Smart Living, Bluetooth module, single chip microcomputer, home
automation
For More Details : http://airccse.org/journal/jwmn/0213wmn05.pdf
Volume Link : http://airccse.org/journal/jwmn_current13.html
REFERENCES
[1] Heidi Monson (1999)Bluetooth Technology and Implications, John Wiley & Sons.
[2] Cano, J.-C., Manzoni,P. and Toh, C.K. (2006). “UbiqMuseum: A Bluetooth and Java Based
Context-Aware System for Ubiquitous Computing”, Wireless Personal Communications,
Vol.38, pp.187-202.
[3] Dimitrakopoulos,G., Tsagkaris,K., Stavroulaki,V., Katidiotis,A., Koutsouris,N.,
Demestichas, P., Merat,V. and Walter,S. (2008) "A Management Framework for Ambient
Systems Operating in Wireless B3G Environments", Springer Mobile Networks and
Applications, Vol. 13 , No. 6, pp. 555-568.
[4] Savic, S. and Shi, H. (2011) An Intelligent Object Framework for Smart Living, Procedia
Computer Science 5 (2011) 386–393.
[5] Adams, C. and Millard, P. (2003) "Personal Trust Space and Devices: "Geography will not
be History" in the m-commerce future". HawaiiInternational Conference on Business
(HICB2003), 18-21 June 2003, Sheraton Waikiki Hotel, Honolulu, Hawaii, USA.
[6] Chung, C.-C., Wang, S.-C., Huang, C. Y., and Lin, C.-M.(2011) "Bluetooth-based Android
Interactive Applications for Smart Living", 2011 Second International Conference on
Innovations in Bio-inspired Computing and Applications (IBICA-2011), Shenzhen, China, 16-
18December 2011,pp.309-312.
[7] The Android open source project, http://source.android.com/.
[8] Tom, M. and Sitte, J. (2006) "Family System: A Reference Model for Developing Home
Automation Applications", IEEE International Conference on Systems, Man, and Cybernetics,
8- 11October 2006, Taipei, Taiwan, pp. 32-37.
[9] Piyare, R. andTazil, M. (2011) “Bluetooth based home automation system using cell phone”,
IEEE 15th International Symposium on Consumer Electronics (ISCE), 14-17 June 2011,
Singapore, pp. 192 – 195.
[10] Potts, J. and Sukittanon, S. (2012) "Exploiting Bluetooth on Android mobile devices for
home security application", Proceedings of IEEE SoutheastCon, 15-18 March 2012, Orlando,
Florida, USA, pp. 1-4.
[11] Al-Ali, A.R.and AL-Rousan,M. (2004) "Java-Based Home Automation System",IEEE
Transaction on Consumer Electronics, Vol.50, No. 2, pp. 498 - 504.
[12] Shepherd, R. (2001) "Bluetooth Wireless Technology in the Home", Electronics &
Communication Engineering, Vol. 13, No. 5, pp.195-203
[13] BF10 Bluetooth Mould v2.0, http://www.lanwind.com/files/BF10-A-en.pdf
[14] Specifications of the Bluetooth System(Core),v1.0 B, December 1st 1999
http://grouper.ieee.org/groups/802/15/Bluetooth/core_10_b.pdf
[15] Buttery, S. and Sago,A.(2003) “Future Applications of Bluetooth”, BT Technology
Journal, Vol. 21, No.3, pp.48-55
[16] Sriskanthan,N., Tan,F. andKarande,A.(2002)“Bluetooth based Home Automation
System”, Elsevier Journal of Microprocessors and Microsystems, Vol. 26, pp. 281–289.
[17] Chieng D. and TingG.(2007) "High-level Capacity Performance Insights into Wireless
Mesh Networking". BT Technology Journal, Vol. 25, Issue 2, pp.76-86.
[18] Arduino, iOS, Android, and Technology Tit Bits, http://sree.cc/google/android/using-
bluetooth-in-android
[19] Mannings,R. and Cosier, G. (2004) "Wireless Everything - Unwiring the World", BT
Technology Journal,Vol. 19, No. 4, pp.65-76.
Citation Count – 95
EFFICIENT MULTI-PATH PROTOCOL FOR WIRELESS SENSOR
NETWORKS
Shuang Li1
, Raghu Kisore Neelisetti2
, Cong Liu3
, and Alvin Lim2
1
Department of Computer Science and Engineering, The Ohio State University, Columbus,
Ohio, USA
2
Department of Computer Science and Software Engineering, Auburn, Alabama, USA
3
Department of Computer Science and Engineering, The University of North Carolina at
Chapel Hill, Chapel Hill, NC, USA
ABSTRACT
Wireless sensor networks are useful for streaming multimedia in infrastructure-free and
hazardous environments. However, these networks are quite different from their wired
counterpart and are composed of nodes with constrained bandwidth and energy. Multiple-
path transmission is one of the methods for ensuring QoS routing in both wired and wireless
environment. Directed diffusion, a well known wireless sensor network protocol, only routes
packets through a single path, which barely meets the throughput requirement of multimedia
data. Instead, we propose a multipath algorithm based on directed diffusion that reinforces
multiple routes with high link quality and low latency. This algorithm retains the merits of the
original directed diffusion algorithms, including its energy efficiency and scalability. A
hybrid metric of link quality and latency is used as the criterion for path selection. In order to
select disjoint paths, we propose a scheme for reinforced nodes to respond negatively to
multiple reinforcement messages. We use the NS-2 simulation tool with video trace
generated by Multiple Description Coding (MDC) to evaluate the performance. The results
show that our algorithm gives better throughput and delay performance, i.e higher video
quality, than standard directed diffusion that transmits over a single path, with low overheads
and energy consumption.
KEYWORDS
Wireless Multimedia Sensor networks, QoS, real-time, throughput, delay
For More Details : http://airccse.org/journal/jwmn/0210s9.pdf
Volume Link : http://airccse.org/journal/jwmn_current10.html
REFERENCES
[1] H.264/mpeg-4 avc, http://en.wikipedia.org/wiki/H.264.
[2] A. Begen, Y. Altunbasak, and O. Ergun, Fast heuristics for multi-path selection for multiple
description encoded video streaming, ICME '03. International Conference on Multimedia and
Expo, vol. 1, pp. I-517-520, 6-9 July 2003.
[3] S. Mao, S. Panwar, and Y. Hou, .On optimal partitioning of realtime traffic over multiple
paths, INFOCOM 2005. 24th Annual Joint Conference of the IEEE Computer and
Communications Societies. Proceedings IEEE, vol. 4, pp. 2325-2336, 13-17 March 2005.
[4] S.-J. Lee and M. Gerla, Split multipath routing with maximally disjoint paths in ad hoc
networks, IEEE International Conference on Communications, vol. 10, pp. 3201-3205, 2001.
[5] M. R. Pearlman, Z. J. Haas, P. Sholander, and S. S. Tabrizi, On the impact of alternate path
routing for load balancing in mobile ad hoc networks, in MobiHoc '00: Proceedings of the 1st
ACM international symposium on Mobile ad hoc networking & computing. Piscataway, NJ,
USA: IEEE Press, 2000, pp. 3-10.
[6] D. Sidhu, R. Nair, and S. Abdallah, Finding disjoint paths in networks, in SIGCOMM '91:
Proceedings of the conference on Communications architecture & protocols. New York, NY,
USA: ACM, 1991, pp. 43-51.
[7] C. Intanagonwiwat, R. Govindan, D. Estrin, J. Heidemann, and F. Silva, Directed diffusion
for wireless sensor networking, IEEE/ACM Transactions on Networks, vol. 11, no. 1, pp. 2-16,
2003.
[8] S. Mao, S. Lin, S. Panwar, Y. Wang, and E. Celebi, Video transport over ad hoc networks:
multistream coding with multipath transport, Selected Areas in Communications, IEEE Journal
on, vol. 21, no. 10, pp. 1721-1737, Dec. 2003.
[9] V. Goyal, Multiple description coding: compression meets the network, Signal
ProcessingMagazine, IEEE, vol. 18, no. 5, pp. 74-93, Sep 2001.
[10] Y. Wang and S. Lin, Error resilient video coding using multiple description motion
compensation, IEEE Fourth Workshop on Multimedia Signal Processing,, pp. 441 - 446, 2001.
[11] W. Xiuchao, Simulate 802.11b channel within ns2, SOC, NUS, Tech. Rep.
[12] S. Li, A. Lim, S. Kulkarni, and C. Liu, Edge: A routing algorithm for maximizing
throughput and minimizing delay in wireless sensor networks, Military Communications
Conference, MILCOM 2007, IEEE, pp. 1-7, 29-31 Oct. 2007.
[13] C. Lu, B. M. Blum, T. F. Abdelzaher, J. A. Stankovic, and T. He, Rap: A real-time
communication architecture for large-scale wireless sensor networks, Charlottesville, VA, USA,
Tech. Rep., 2002.
[14] Tian He, John A. Stankovic, Chenyang Lu and Tarek F. Abdelzaher A spatiotemporal
communication protocol for wireless sensor networks,. IEEE Trans. Parallel Distrib. Syst., vol.
16, no. 10, pp. 995-1006, 2005.
[15] Emad Felemban, Chang-Gun Lee and Eylem Ekici, Mmspeed: Multipath multi-speed
protocol for QoS guarantee of reliability and timeliness in wireless sensor networks, IEEE
Transactions on Mobile Computing, vol. 5, no. 6, pp. 738-754, 2006.
[16] X. Lin and I. Stojmenovic, Location-based localized alternate, disjoint and multi-path
routing algorithms for wireless networks, J. Parallel Distrib. Comput., 2002.
[17] S. Lin, S. Mao, Y. Wang, and S. Panwar, A reference picture selection scheme for video
transmission over ad-hoc networks using multiple paths, ICME 2001. IEEE International
Conference on Multimedia and Expo, pp. 96-99, 22-25 Aug. 2001.
[18] S. Mao, S. Lin, S. S. Panwar, Y. Wang, Reliable transmission of video over ad hoc
networks using automatic repeat request and multipath transport, in IEEE VEHICULAR
TECHNOLOGY CONFERENCE, CONF 54; VOL 2, pages 615-619, 2001.
[19] Liran Ma, Qian Zhang, Fengguang An, and Xiuzhen Cheng, Diar: A dynamic interference
aware routing protocol for IEEE 802.11-based mobile ad hoc networks, in International
Conference on Mobile Ad-hoc and Sensor Networks (MSN), LNCS, 2005.
[20] E. Weiss, O. Klein, G. Hiertz and B. Walke, Capacity and interference aware ad hoc
routing in multi-hop networks, in Proceedings of 12th European Wireless conference, 2006.
[21] D.-Q. Nguyen and P. Minet, Interference-aware QoS OLSR for mobile ad-hoc network
routing, in SNPD-SAWN '05: Proceedings of the Sixth International Conference on Software
Engineering, Artificial Intelligence, Networking and Parallel/ Distributed Computing and First
ACIS International Workshop on Self-Assembling Wireless Networks. Washington, DC, USA:
IEEE Computer Society, 2005, pp. 428-435.
[22] D. B. Johnson and D. A. Maltz, Dynamic source routing in ad hoc wireless networks,
Mobile Computing, vol. 353, 1996.
[23] C. E. Perkins and P. Bhagwat, Highly dynamic destination-sequenced distance-vector
routing (dsdv) for mobile computers, in SIGCOMM '94: Proceedings of the conference on
Communications architectures, protocols and applications. New York, NY, USA: ACM, 1994,
pp. 234 - 244.
[24] R. Draves, J. Padhye, and B. Zill, Comparison of routing metrics for static multi-hop
wireless networks, in SIGCOMM '04: Proceedings of the 2004 conference on Applications,
technologies, architectures, and protocols for computer communications. New York, NY, USA:
ACM, 2004, pp. 133 - 144.
[25] S. Russell and P. Norvig, Artificial Intelligence: A Modern Approach. Prentice Hall, 1995.
[26] J. J. Lemmon, Wireless link statistical bit error model, NTIA Report 02-394, Tech. Rep.,
2002.
[27] S. Lee, B. Bhattacharjee, and S. Banerjee, .Efficient geographic routing in multihop
wireless networks, in MobiHoc '05: Proceedings of the 6th ACM international symposium
onMobile ad hoc networking and computing. New York, NY, USA: ACM, 2005, pp. 230-241.
[28] Z. Ye, S. Krishnamurthy and S. Tripathi, A framework for reliable routing in mobile ad
hoc networks, INFOCOM 2003. Twenty-Second Annual Joint Conference of the IEEE
Computer and Communications Societies. IEEE, vol. 1, pp. 270-280, 30 March-3 April 2003.
[29] D. De Couto, D. Aguayo, J. Bicket, and R. Morris, A high-throughput path metric for
multi-hop wireless routing, Wirel. Netw., vol. 11, no. 4, pp. 419-434, 2005.
[30] Constraint Satisfaction Problems. http://aima.cs.berkeley.edu/newchap05.pdf.
[31] G. Feng, K. Makki, N. Pissinou, and C. Douligeris, An efficient approximate algorithm for
delay-cost-constrained QoS routing, Tenth International Conference on Computer
Communications and Networks, pp. 395 - 400, 2001.
[32] D. West, Introduction to Graph Theory. Prentice-Hall, 1996.
[33] Video Trace Library. http://trace.eas.asu.edu
Citation Count – 87
EMERGING WIRELESS TECHNOLOGIES IN THE INTERNET OF
THINGS: A COMPARATIVE STUDY
Mahmoud Elkhodr, Seyed Shahrestani and Hon Cheung
School of Computing, Engineering and Mathematics, Western Sydney University, Sydney,
Australia
ABSTRACT
The Internet of Things (IoT) incorporates multiple long-range, short-range, and personal area
wireless networks and technologies into the designs of IoT applications. This enables
numerous business opportunities in fields as diverse as e-health, smart cities, smart homes,
among many others. This research analyses some of the major evolving and enabling wireless
technologies in the IoT. Particularly, it focuses on ZigBee, 6LoWPAN, Bluetooth Low
Energy, LoRa, and the different versions of Wi-Fi including the recent IEEE 802.11ah
protocol. The studies evaluate the capabilities and behaviours of these technologies regarding
various metrics including the data range and rate, network size, RF Channels and Bandwidth,
and power consumption. It is concluded that there is a need to develop a multifaceted
technology approach to enable interoperable and secure communications in the IoT.
KEYWORDS
Internet of Things, Wireless Technologies, Low-power, M2M Communications.
For More Details : https://aircconline.com/ijwmn/V8N5/8516ijwmn05.pdf
Volume Link : http://airccse.org/journal/jwmn_current16.html
REFERENCES
[1] B. Sanou, "The World in 2013: ICT facts and figures," International Telecommunications
Union, 2013.
[2] C. V. N. Index, "Global mobile data traffic forecast update, 2010-2015," White Paper,
February, 2011.
[3] C. V. N. Index, "The zettabyte era–trends and analysis," Cisco white paper, 2013.
[4] L. Li, H. Xiaoguang, C. Ke, and H. Ketai, "The applications of WiFi-based wireless sensor
network in internet of things and smart grid," in 2011 6th IEEE Conference on Industrial
Electronics and Applications (ICIEA), 2011, pp. 789-793.
[5] R. Want, B. N. Schilit, and S. Jenson, "Enabling the internet of things," Computer, pp. 28-
35, 2015.
[6] D. Christin, A. Reinhardt, P. S. Mogre, and R. Steinmetz, "Wireless Sensor Networks and
the Internet of Things: Selected Challenges," presented at the The 8th GI/ITG
KuVSFachgesprächDrahtloseSensornetze, 2009.
[7] Z. Sheng, S. Yang, Y. Yu, A. Vasilakos, J. Mccann, and K. Leung, "A survey on the ietf
protocol suite for the internet of things: Standards, challenges, and opportunities," IEEE
Wireless Communications, vol. 20, pp. 91-98, 2013.
[8] S. Lee, D. Yoon, and A. Ghosh, "Intelligent parking lot application using wireless sensor
networks," in International Symposium on Collaborative Technologies and Systems, 2008, pp.
4857.
[9] W. Lemstra, V. Hayes, and J. Groenewegen, The innovation journey of Wi-Fi: The roadto
global success: Cambridge University Press, 2010.
[10] F. Rusek, D. Persson, B. K. Lau, E. G. Larsson, T. L. Marzetta, O. Edfors, et al., "Scaling
up MIMO: Opportunities and challenges with very large arrays," IEEE Signal Processing
Magazine, vol. 30, pp. 40-60, 2013.
[11] E. Perahia and R. Stacey, Next Generation Wireless LANs: 802.11 n and 802.11 ac:
Cambridge university press, 2013.
[12] I. F. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci, "Wireless Sensor
Networks: A Survey," Computer Networks, vol. 38, pp. 393-422, 2002.
[13] L. Verma, M. Fakharzadeh, and S. Choi, "WiFi on Steroids: 802.11 ac and 802.11 ad,"
IEEE Wireless Communications, vol. 20, pp. 30-35, 2013.
[14] T. Adame, A. Bel, B. Bellalta, J. Barcelo, and M. Oliver, "IEEE 802.11 AH: theWiFi
approach for M2M communications," IEEE Wireless Communications, vol. 21, pp. 144- 152,
2014.
[15] IEEE. (2015, 30/05/2014). IEEE P802.11 Sub 1GHz Study Group. Available:
http://www.ieee802.org/11/Reports/tgah_update.htm
[16] E. Khorov, A. Lyakhov, A. Krotov, and A. Guschin, "A survey on IEEE 802.11 ah: An
enabling networking technology for smart cities," Computer Communications, pp. 53- 69, 2014.
[17] T. Adame, A. Bel, B. Bellalta, J. Barcelo, J. Gonzalez, and M. Oliver, "Capacity analysis of
IEEE 802.11 ah WLANs for M2M communications," in Multiple Access Communcations,ed:
Springer, 2013, pp. 139- 155.
[18] Qualcomm. (2014, 12/10/2014). Improving whole home coverage and power efficiency.
Available: https://www.qualcomm.com/invention/research/projects/wi-fi- evolution/80211ah
[19] O. Raeesi, J. Pirskanen, A. Hazmi, T. Levanen, and M. Valkama, "Performance evaluation
of IEEE 802.11 ah and its restricted access window mechanism," in 2014 IEEE International
Conference on Communications Workshops (ICC), 2014, pp. 460- 466.
[20] S. Aust, R. V. Prasad, and I. G. Niemegeers, "Outdoor long-range WLANs: a lesson for
IEEE 802.11 ah," IEEE Communications Surveys & Tutorials, vol. 17, pp. 1761-1775, 2015.
[21] P. Valerio. (2014) Can Sub-1GHz WiFi Solve The IoT Connectivity Issues? The New
Global Enterprise. Available: http://www.frontwave.eu/2014_12_01_archive.html
[22] A. B. Flores, R. E. Guerra, E. W. Knightly, P. Ecclesine, and S. Pandey, "IEEE 802.11 af: a
standard for TV white space spectrum sharing," IEEE Communications Magazine, vol. 51, pp.
92100, 2013.
[23] S. K. Mohapatra, R. R. Choudhury, and P. Das, "The Future Directions in Evolving WI-
FI: Technologies, Applications, and Services," International Journal of Next-Generation
Networks, vol. 6, pp. 13-22, 2014.
[24] Bluetooth SIG. (2001, 01/05/2014). Bluetooth specification version 1.1. Available:
http://www.bluetooth.com
[25] (2015, 11/12/2014). Bluetooth Smart Technology: Powering the Internet of Things.
Available: http://www.bluetooth.com/Pages/Bluetooth-Smart.aspx
[26] J. Decuir, "Bluetooth Smart Support for 6LoBTLE: Applications and connection
questions," IEEE Consumer Electronics Magazine, vol. 4, pp. 67-70, 2015.
[27] Bluetooth SIG. (2012, 11/04/2015). Bluetooth Core Version 4.0.
Available: https://www.bluetooth.org/Technical/Specifications/adopted.htm
[28] J. Hui and D. Culler. 6LoWPAN: Incorporating IEEE 802.15.4 into the IP architecture.
Available: http://www.ipso-alliance.org/wp-content/media/6lowpan.pdf
[29] M. B. Baria, A. P. Gharge, and N. D. Sheth, "A Review of Zigbee Smart Energy," in
International Journal of Engineering Development and Research, 2014.
[30] N. Baker, "ZigBee and Bluetooth: Strengths and weaknesses for industrial applications,"
Computing and Control Engineering, vol. 16, pp. 20-25, 2005.
[31] A. J. Jara, L. Ladid, and A. F. Gómez-Skarmeta, "The Internet of Everything through IPv6:
An Analysis of Challenges, Solutions and Opportunities," JoWUA, vol. 4, pp. 97- 118, 2013.
[32] L. Alliance, "LoRa alliance–wide area networks for IoT," ed, 2015.
[33] F. Siddiqui, S. Zeadally, and K. Salah, "Gigabit Wireless Networking with IEEE 802.11 ac:
Technical Overview and Challenges," Journal of Networks, vol. 10, pp. 164-171, 2015.
[34] F.Stroud. (2015, 15/01/2015). 802.11ac. Available:
http://www.webopedia.com/TERM/8/802_11ac.html
[35] P. Anitha and C. Chandrasekar, "Energy Aware Routing Protocol ForZigbee Networks,"
Journal of Computer Applications (JCA), vol. 4, pp. 92-94, 2011.
[36] P. McDermott-Wells, "What is bluetooth?," IEEE Potentials, vol. 23, pp. 33-35, 2004.
[37] IEEE 802.11 Working Group, "IEEE Standard for Information Technology–
Telecommunications and information exchange between systems–Local and metropolitan area
networks–Specific requirements–Part 11: Wireless LAN Medium Access Control (MAC) and
Physical Layer (PHY) specifications Amendment 6: Wireless Access in Vehicular
Environments," IEEE Std, vol. 802, p. 11, 2010.
[38] A. Dementyev, S. Hodges, S. Taylor, and J. Smith, "Power Consumption Analysis of
Bluetooth Low Energy, ZigBee and ANT Sensor Nodes in a Cyclic Sleep Scenario " Microsoft
Research, pp. 1-5, 2013.
[39] B. B. Olyaei, J. Pirskanen, O. Raeesi, A. Hazmi, and M. Valkama, "Performance
comparison between slotted IEEE 802.15. 4 and IEEE 802.1 lah in IoT based applications,"in
IEEE 9th International Conference on Wireless.
Citation Count – 79
NETWORK EVOLUTION AND QOS PROVISIONING FOR
INTEGRATED FEMTOCELL/MACROCELL NETWORKS
Mostafa Zaman Chowdhury1
, Yeong Min Jang2
, and Zygmunt J. Haas3
1,2
Department of Electronics Engineering, Wireless Networks and Communications Lab
Kookmin University, Seoul, Korea
3
Department of Electrical and Computer Engineering, Wireless Networks Lab Cornell
University, Ithaca, NY, USA.
ABSTRACT
Integrated femtocell/macrocell networks, comprising a conventional cellular network
overlaid with femtocells, offer an economically appealing way to improve coverage, quality
of service, and access network capacity. The key element to successful femtocells/macrocell
integration lies in its selforganizing capability. Provisioning of quality of service is the main
technical challenge of the femtocell/macrocell integrated networks, while the main
administrative challenge is the choice of the proper evolutionary path from the existing
macrocellular networks to the integrated network. In this article, we introduce three
integrated network architectures which, while increasing the access capacity, they also reduce
the deployment and operational costs. Then, we discuss a number of technical issues, which
are key to making such integration a reality, and we offer possible approaches to their
solution. These issues include efficient frequency and interference management, quality of
service provisioning of the xDSL-based backhaul networks, and intelligent handover control.
KEYWORDS
Femtocells, Femtocellular Network Architecture, Femtocell/Macrocell Integration, Integrated
Network Architecture, Indoor Wireless Coverage, Self-Organizing Capability
For More Details : http://airccse.org/journal/jwmn/0203ijwmn01.pdf
Volume Link : http://airccse.org/journal/jwmn_current10.html
REFERENCES
[1] D. Lopez-Perez, G. de la Roche, A. Valcarce, A. Juttner, and J. Zhang, “Interference
Avoidance and Dynamic Frequency Planning for WiMAX Femtocells Networks,” Proc. of
IEEE Int. Conf. on Commun. Systems (ICS), Nov. 2008.
[2] The Femto Forum, “Regulatory Aspects of Femtocells,” May 2008.
[3] 3GPP TR R25.820, “3G Home NodeB Study Item,” March 2008.
[4] M. Z. Chowdhury, W. Ryu, E. Rhee, and Y. M. Jang, “Handover between Macrocell and
Femtocell for UMTS based Networks,” Proc. of IEEE Int. Conf. on Adv. Commun. Technology
(ICACT), Feb. 2009.
[5] H. Claussen, L. T. W. Ho, and L. G. Samuel, “An Overview of the Femtocell Concept,”Bell
Labs Technical Journal, 2008.
[6] L. Eastwood, S. Migaldi, Q. Xie, and V. Gupta, “Mobility Using IEEE 802.21 in a
Heterogeneous IEEE 802.16/802.11-based, IMT-Advanced (4G) Network,” IEEE Wireless
Commun., April 2008.
[7] http://www.cellular-news.com/story/33163.php
[8] 3GPP TR R3.020, “Home (e)NodeB; Network Aspects,” Sept. 2008.
[9] V. Chandrasekhar, J. G. Andrews, and A. Gatherer, “Femtocell Networks: A Survey,” IEEE
Commun. Magazine, Sept. 2008.
[10] M. Z. Chowdhury, S. W. Choi, Y. M. Jang, K. S. Park, and G. Yoo, “Dynamic SLA
Negotiation using Bandwidth Broker for Femtocell Networks,” IEEE Int. Conf. on Ubiquitous
and Future Networks (ICUFN), June 2009.
[11] M. Z. Chowdhury, Y. M. Jang, and Z. J. Haas, “Interference Mitigation Using Dynamic
Frequency Re-use for Dense Femtocell Network Architectures,” IEEE Int. Conf. on Ubiquitous
and Future Networks (ICUFN), June 2010.
[12] http://www.femtoforum.org
[13] http://www.airwalkcom.com
[14] 3GPP TS 32.500, “Telecommunication Management; Self-Organizing Networks (SON);
Concepts and Requirements,” Dec. 2009.
[15] P. Agrawal, J. H. Yeh, J. C. Chen, and T. Zhang, “IP Multimedia Subsystems in 3GPP and
3GPP2: Overview and Scalability Issues,” IEEE Commun. Magazine, Jan. 2008.
[16] Z. Duan, Z. L. Zhang, Y. T. Hou, and L. Gao, “A Core Stateless Bandwidth Broker
Architecture for Scalable Support of Guaranteed Services,” IEEE Trans. on Parallel and
Distributed Systems, Feb. 2004.
[17] H. Claussen, L. T. W. Ho, and L. G. Samuel, “Self-optimization of Coverage for Femtocell
Deployment,” WTS2008.
[18] 3GPP TR 22.978, “All-IP Network (AIPN) Feasibility Study,” Dec. 2008.
[19] H. S. Jo, C. Mun, J. Moon, and J. G. Yook, ember, “Interference Mitigation Using Uplink
Power Control for Two-Tier Femtocell Networks,” IEEE Trans. on Wireless Commun., Oct.
2009.
[20] M. C. Necker, “Interference Coordination in Cellular OFDMA Network,” IEEE Network,
Nov./Dec. 2008.
[21] G. Boudreau, J. Panicker, N. Guo, R. Chang, N.g Wang, and S. Vrzic, “Interference
Coordination and Cancellation for 4G Networks,” IEEE Commun. Magazine, April 2009.
[22] S. H. Ali, and V. C. M. Leung, “Dynamic Frequency Allocation in Fractional Frequency
Reused OFDMA Networks” IEEE Trans. on Wireless Commun, Aug. 2009.
[23] D. N. Knisely, T. Yoshizawa, and F. Favichia, “Standardization of Femtocells in 3GPP,”
IEEE Commun. Magazine, Sept. 2009.
[24] J. Song, M. Y. Chang, and S. S. Lee, and J. Joung, “Overview of ITU-T NGN QoS
Control,” IEEE Commun. Magazine, Sept. 2007.
[25] DSL Forum TR-069, “CPE WAN Management Protocol,” May 2004.
[26] Broadband Forum TR-098, “Internet Gateway Device Data Model,” 2007.
[27] X. Chen, B. Li, and Y. Fang, “A Dynamic Multiple-Threshold Bandwidth Reservation
(DMTBR) Scheme for QoS Provisioning in Multimedia Wireless Networks,” IEEE Trans.
onWireless Commun., March 2005.
[28] C. W. Leong and W. Zhuang, “Soft QoS in Call Admission Control for Wireless Personal
Communications,” Wireless Personal Commun., 2002.
Citation Count – 66
REQUIREMENTS OF VERTICAL HANDOFF MECHANISM IN 4G
WIRELESS NETWORKS
Mandeep Kaur Gondara1
and Dr. Sanjay Kadam2
1
Ph. D Student, Computer Science Department, University of Pune, Pune
2
Research Guide, Computer Science Department, University of Pune, Pune
ABSTRACT
The importance of wireless communication is increasing day by day throughout the world
due to cellular and broadband technologies. Everyone around the world would like to be
connected seamlessly anytime anywhere through the best network. The 4G wireless system
must have the capability to provide high data transfer rates, quality of services and seamless
mobility. In 4G, there are a large variety of heterogeneous networks. The users for variety of
applications would like to utilize heterogeneous networks on the basis of their preferences
such as real time, high availability and high bandwidth. When connections have to switch
between heterogeneous networks for performance and high availability reasons, seamless
vertical handoff is necessary. The requirements like capability of the network, handoff
latency, network cost, network conditions, power consumption and user’s preferences must
be taken into consideration during vertical handoff. In this paper, we have extracted the
requirements of a vertical handoff from the literature surveyed. The evaluation of the existing
work is also being done on the basis of required parameters for vertical handoff. A
sophisticated, adaptive and intelligent approach is required to implement the vertical handoff
mechanism in 4G wireless networks to produce an effective service for the user by
considering dynamic and non dynamic parameters.
KEYWORDS
4G wireless networks, VHO, Requirements, RSS, Parameters, Performance
For More Details : http://airccse.org/journal/jwmn/0411wmn02.pdf
Volume Link : http://airccse.org/journal/jwmn_current11.html
REFERENCES
[1] Qing-An Zeng & Dharma P. Agrawal, (2002) "Handbook of Wireless Networks and Mobile
Computing", John Wiley & Sons Publishers.
[2] James Won-ki Hong & Alberto Leon-Garcia, (2005) “Requirements for the Operations and
Management of 4G networks", In Proc. of 19th International Conference on
PerformanceChallenges for Efficient Next Generation Networks, pp 981-990.
[3] http://www.tutorvista.com/-United States
[4] J. McNair & F. Zhu, June (2004) “Vertical Handoffs in Fourth-generation Multi - network
Environments”, IEEE Wireless Communications, Vol. 11, No. 3, pp 8–15.
[5] W. Chen & Y. Shu, March (2005) “Active Application Oriented Vertical Handoff in
NextGeneration Wireless Networks”, In Proc. of IEEE WCNC’05, New Orleans, LA.
[6] Enrique Stevens-Navarro, Vincent W.S. Wong & Yuxia Lin,March (2007) “A Vertical
Handoff Decision Algorithm for Heterogeneous Wireless Networks”, In Proc. of IEEE Wireless
Communications and Networking Conference (WCNC'07), Hong Kong, China.
[7] http://www.mobilab.unina.it/locationing.htm
[8] H.J. Wang, R. H. Katz & J. Giese,(1999) “Policy-Enabled Handoffs across Heterogeneous
Wireless Networks”, In proc. of ACM WMCSA.
[9] Pramod Goyal & S. K. Saxena,(2008)“A Dynamic Decision Model for Vertical Handoffs
across Heterogeneous Wireless Networks”,677 ? 2008 WASET.ORG, World Academy of
Science, Engineering and Technology,Issue 41,pp 676-682.
[10] SuKyoung Lee , Kotikalapudi Sriram, Kyungsoo Kim, Yoon Hyuk Kim & Nada
Golmie,January (2009)“Vertical Handoff Decision Algorithms for Providing Optimized
Performance in Heterogeneous Wireless Networks”,IEEE transactions on Vehicular
Technology.
[11] Joon-Myung Kang, Hong-Taek Ju2 & James Won-Ki Hong,(2006) “Towards Autonomic
Handover Decision Management in 4G Networks”, In Proceedings of MMNS'2006,pp145- 157.
[12] Mrs. Chandralekha & Dr. Prafulla Kumar Behera,November (2009) “Use of Adaptive
Resonance Theory for Vertical Handoff Decision in Heterogeneous Wireless Environment”,
International Journal of Recent Trends in Engineering, Vol. 2, No. 3.
[13] A. Dvir, R. Giladi, I. Kitroser & M. Segal,February (2010) “Efficient decision handoff
mechanism for heterogeneous network”, International journal of Wireless and Mobile
networks,Vol. 2, No. 1.
[14] K.Ayyappan and P.Dananjayan,(2008)“RSS Measurement for Vertical Handoff in
Hetrogeneous Network", International journal of Theoretical and Applied Information
Technology,Vol.4,No.10.
[15] KunHo Hong,SuKyoung Lee, LaeYoung Kim & PyungJung Song,(2009) ”Cost-Based
Vertical Handover Decision Algorithm for WWAN/WLAN Integrated Networks”,EURASIP
Journal on Wireless Communications and Networking Volume 2009 , Article ID 372185, 11
pages doi:10.1155/2009/372185.
[16] E.Stevens-Navarro,Vincent W.S.Wong & Yuxia Lin,(2007) "A Vertical Handoff Decision
Algorithm for Heterogeneous Wireless Networks",In Proc. of Wireless Communications and
Networking Conference, IEEE ; doi:10.1109/WCNC. 2007.590
[17] A.J.Onumanyi & E.N.Onwuka,(2011) " Techniques for vertical handoff decision across
wireless heterogeneous networks: A survey", in Academic Journal of Scientific Research and
Essays,Vol. 6(4),pp.683-687.
Citation Count – 65
A self-managing fault management mechanism for wireless sensor networks
Muhammad Asim1
and Hala Mokhtar2
and Madjid Merabti3
1
School of Computing and Mathematical Sciences, Liverpool John Moores University
2
School of Computing and Mathematical Sciences, Liverpool John Moores University
3
Schoolof Computing and Mathematical Sciences, Liverpool John Moores University
ABSTRACT
A sensor network can be described as a collection of sensor nodes which co-ordinate with
each other to perform some specific function. These sensor nodes are mainly in large
numbers and are densely deployed either inside the phenomenon or very close to it. They can
be used for various application areas (e.g. health, military, home). Failures are inevitable in
wireless sensor networks due to inhospitable environment and unattended deployment.
Therefore, it is necessary that network failures are detected in advance and appropriate
measures are taken to sustain network operation. We previously proposed a cellular approach
for fault detection and recovery. In this paper we extend the cellular approach and propose a
new fault management mechanism to deal with fault detection and recovery. We propose a
hierarchical structure to properly distribute fault management tasks among sensor nodes by
introducing more ‘self-managing’ functions. The proposed failure detection and recovery
algorithm has been compared with some existing related work and proven to be more energy
efficient.
KEYWORDS
Sensor Networks, Fault Management, Fault Detection & Fault Recovery
For More Details : http://airccse.org/journal/jwmn/1110ijwmn15.pdf
Volume Link : http://airccse.org/journal/jwmn_current10.html
REFERENCES
[1] M. Z. Khan, M. Merabti, and B. Askwith, "Design Considerations for Fault Management in
Wireless Sensor Networks," in PGNet 2009 Liverpool, 2009.
[2] L. Paradis and Q. Han, "A Survey of Fault Management in Wireless Sensor Networks,"
Journal of Network and Systems Management, vol. 15, pp. 171-190, 2007.
[3] M. Yu, H. Mokhtar, and M. Merabti, "A survey on Fault Management in wireless sensor
network," in Proceedings of the 8th Annual PostGraduate Symposium on The Convergence of
Telecommunications, Networking and Broadcasting Liverpool, UK, 2007.
[4] L. B. Ruiz, I. G.Siqueira, L. B. Oliveira, H. C. Wong, J. M. S. Nogueira, and A. A. F.
Loureiro, "Fault management in event-driven wireless sensor networks," in MSWiM’04
Italy,2004.
[5] M. Asim, H. Mokhtar, and M. Merabti, "A cellular approach to fault detection and recovery
in wireless sensor networks," in The Third International Conference on Sensor Technologies
and Applications, SENSORCOMM 2009 Greece, 2009.
[6] N. Ramanathan, K. Chang, E. Kohler, and D. Estrin, "Sympathy for the Sensor Network
Debugger," in Proceedings of 3rd ACM Conference on Embedded Networked Sensor Systems
(SenSys ’05), San Diego, California, 2005, pp. 255-267.
[7] J. Staddon, D. Balfanz, and G. Durfee, "Efficient Tracing of Failed Nodes in Sensor
Networks," in First ACM International Workshop on Wireless Sensor Networks and
Applications USA, 2002.
[8] W. L. Lee, A. Datta, and R. Cardell-Oliver, "Network Management in Wireless Sensor
Networks," in Handbook of Mobile Ad Hoc and Pervasive Communications: American
Scientific Publishers, 2006.
[9] M. Ding, D. Chen, K. Xing, and X. Cheng, "Localized fault-tolerant event boundary
detection in sensor networks," in Proceedings of the 24th Annual Joint Conference of the IEEE
Computer and Communications Societies (INFOCOM '05). vol. 2 USA, 2005, pp. 902- 913.
[10] J. Chen, S. Kher, and A. K. Somani, "Distributed Fault Detection of Wireless Sensor
Networks," in Proceedings of DIWANS 06, 2006.
[11] S. Marti, T. J. Giuli, K.Lai, and M. Baker, "Mitigating routing misbehaviour in mobile ad
hoc networks," in ACM Mobicom, 2000, pp. 255-265.
[12] F. Koushanfar, M. Potkonjak, and A. SangiovanniVincentelli, "Fault tolerance techniques
in wireless ad-hoc sensor networks," UC Berkeley technical reports 2002.
[13] A. R. S Harte, K M Razeeb, "Fault Tolerance In Sensor Networks using Self-Diagnosing
Sensor Nodes."
[14] M. L. Chihfan Hsin, "Self-monitoring of Wireless Sensor Networks," Computer
Communications, vol. 29, pp. 462-478, 2005.
[15] W. L. Lee, A. Datta, and R. Cardell-Oliver, "WinMS: Wireless Sensor Network-
Management System, An Adaptive Policy-Based Management for Wireless Sensor Networks,"
School of Computer Science and Software Engineering, The University of Western Australia,
Technical Report UWA-CSSE-06-01, 2006.
[16] J. Chen, S. Kher, and A. Somani, "Distributed Fault Detection of Wireless Sensor
Networks," in DIWANS'06 USA, 2006.
[17] F. Koushanfar, M. Potkonjak, and A. Sangiovanni-Vincentelli, "Fault Tolerance in
Wireless Adhoc Sensor Networks," in Proceedings of IEEE Sensors, 2002.
[18] T. Clouqueur, K.Saluja, and P. Ramanathan, "Fault Tolerance in Collaborative Sensor
Networks for Target Detection," in IEEE Transactions on Computers, 2004, pp. 320- 333.
[19] G. Gupta and M. Younis, "Fault-Tolerant Clustering of Wireless Sensor Networks," in
Proceedings of the IEEE WCNC 2003 New Orleans, Louisiana, 2003.
[20] K. F. Ssu, C. H. Chou, H. C. Jiau, and W. T. Hu, "Detection and Diagnosis of data
inconsistency failures in wireless sensor networks," in Computer Networks, 2006, pp. 1247-
1260.
[21] G. Riley, "The Georgia Tech Network Simulator," in ACM SIGCOMM Workshop on
Models, Methods and Tools for Reproducible Network Research Karlsruhe, Germany, 2003.
[22] G. Gupta and M. Younis, "Load-Balanced Clustering in Wireless Sensor Networks," in
Proceedings of International Conference on Communication (ICC 2003) Anchorage, AK, 2003.
[23] G. Venkataraman, S. Emmanuel, and S.Thambipillai, "Energy-efficient cluster-based
scheme for failure management in sensor networks," in IET Communications. vol. 2, 2008, pp.
528-537.
[24] J. L. Chen, H. F. Lu, and C. A. Lee, "Autonomic self-organization architecture for wireless
sensor communications," International Journal of Network Management, vol. 17, pp.197-208,
2007.

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August 2021: Top Ten Cited Article - International Journal of Wireless & Mobile Networks (IJWMN)

  • 1. August 2021: Top Ten Cited Article in Wireless& Mobile Networks International Journal of Wireless & Mobile Networks (IJWMN) ISSN: 0975-3834 [Online]; 0975-4679 [Print] http://airccse.org/journal/ijwmn.html Google Scholar Citation
  • 2. Citation Count – 390 A Wireless Sensor Network Air Pollution Monitoring System Kavi K. Khedo1 , Rajiv Perseedoss2 and Avinash Mungur3 Department of Computer Science and Engineering, University of Mauritius, Reduit, Mauritius ABSTRACT Sensor networks are currently an active research area mainly due to the potential of their applications. In this paper we investigate the use of Wireless Sensor Networks (WSN) for air pollution monitoring in Mauritius. With the fast growing industrial activities on the island, the problem of air pollution is becoming a major concern for the health of the population. We proposed an innovative system named Wireless Sensor Network Air Pollution Monitoring System (WAPMS) to monitor air pollution in Mauritius through the use of wireless sensors deployed in huge numbers around the island. The proposed system makes use of an Air Quality Index (AQI) which is presently not available in Mauritius. In order to improve the efficiency of WAPMS, we have designed and implemented a new data aggregation algorithm named Recursive Converging Quartiles (RCQ). The algorithm is used to merge data to eliminate duplicates, filter out invalid readings and summarise them into a simpler form which significantly reduce the amount of data to be transmitted to the sink and thus saving energy. For better power management we used a hierarchical routing protocol in WAPMS and caused the motes to sleep during idle time. KEYWORDS Sensor Networks, Routing Protocol, Data Aggregation, Air Pollution Monitoring, Data Fusion For More Details : http://airccse.org/journal/jwmn/0510ijwmn03.pdf Volume Link : http://airccse.org/journal/jwmn_current10.html
  • 3. REFERENCES [1] H. Karl and A. Willig, Protocols and Architectures for Wireless Sensor Networks, John Wiley and Sons Ltd, The Atrium, Southern Gate, Chichester, West Sussex, England, 2005. [2] D. Culler, D. Estrin, and M. Srivastava, “Overview of Sensor Networks”, IEEE Computer, August 2004. [3] K. Martinez, J. K. Hart, and R. Ong, “Environmental sensor networks”, IEEE Computer Journal, Vol. 37 (8), 50-56, August 2004. [4] A. Mainwaring, D. Culler, J. Polastre, R. Szewczyk, and J. Anderson, “Wireless sensor networks for habitat monitoring”, Proceedings of the 1st ACM International workshop on Wireless sensor networks and applications, Atlanta, Georgia, USA, 88-97, 2002. [5] I. F. Akyildiz, D. Pompili and T. Melodia, “Underwater acoustic sensor networks: research challenges”, Ad Hoc Networks, Vol. 3 (3), 257-279, May 2005. [6] Y. Ma, M. Richards, M. Ghanem, Y. Guo and J. Hassard, “Air Pollution Monitoring and Mining Based on Sensor Grid in London”, Sensors 2008, Vol. 8(6), 3601-3623. [7] G. Hassard , M. Ghanem , Y. Guo , J. Hassard , M. Osmond , and M. Richards, “Sensor Grids For Air Pollution Monitoring”, in the Proceedings of 3rd UK e-Science All Hands Meeting, 2004. [8] I. Khemapech, I. Duncan, and A. Miller, “A survey of wireless sensor networks technology,” in PGNET, In the Proceedings of the 6th Annual Postgraduate Symposium on the Convergence of Telecommunications, Networking & Broadcasting , Liverpool, UK, EPSRC, June 2005. [9] B. Warneke and K.S.J. Pister, “MEMS for Distributed Wireless Sensor Networks,” 9th International Conference on Electronics, Circuits and Systems, Croatia, September 2002. [10] B. Son, Y. Her, J. Kim, “A design and implementation of forest-fires surveillance system based on wireless sensor networks for South Korea mountains”, International Journal of Computer Science and Network Security (IJCSNS), 6, 9, 124–130, 2006. [11] ALERT, Available from: http://www.alertsystems.org/, Accessed on: 14 August 2009. [12] T.H. Keitt, D.L. Urban and B.T. Milne, “Detecting critical scales in fragmented landscapes,” Conservation Ecology(online), Vol. 1, 1997. [13] J. Heidemann et al., “Underwater Sensor Networking: Research Challenges and Potential Applications,” USC/ISI tech. rep. ISI-TR-2005-603, 2005. [14] I. F. Akyildiz, W. Su, Y.Sankarasubramaniam, and E. Cayirci, “Wireless Sensor Networks: A Survey”, Elservier Computer Networks, Vol.38 (4), pp. 393-422, March 2002.
  • 4. [15] A. Mainwaring , D. Culler , J. Polastre , R. Szewczyk , J.Anderson, Wireless sensor networks for habitat monitoring, Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications, Atlanta, Georgia, USA, September 2002. [16] DeerNet, Available from: http://blog.xbow.com/xblog/2007/10/deernet---caugh.html, Date Accessed: 27 August 2009. [17] R. Rajagopalan and P.K. Varshney, “Data-Aggregation Techniques in Sensor Networks: A Survey,” IEEE Communication Surveys and Tutorials, Vol. 8 (4), pp. 48-63, December 2006. [18] H. Albert, R. Kravets and I. Gupta, “Building Trees Based On Aggregation Efficiency in Sensor Networks,” Ad Hoc Networks, Vol. 5 (8), pp. 1317-1328, November 2007. [19] O. Younis and S. Fahmy, "Distributed Clustering in Ad-hoc Sensor Networks: A Hybrid, EnergyEfficient Approach", In Proceedings of IEEE INFOCOM, Vol. 1, 629-640, March 2004. [20] Q. Cao, T. He, L. Fang, T. Abdelzaher, J. Stankovic, and S. Son, “Efficiency Centric Communication Model for Wireless Sensor Networks”, in Proceedings of IEEE INFOCOM, pp. 1- 12, 2006. [21] JiST/SWANS, Java in Simulation Time / Scalable Wireless Ad hoc Network Simulator, Available from: http://jist.ece.cornell.edu/index.html, Cornell University. [22] D. Johnson, D. Maltz, and J. Broch, “DSR: The Dynamic Source Routing Protocol for Multi-Hop Wireless Ad Hoc Networks”, In Ad Hoc Networking, Chapter 5, 139-172, Addison- Wesley, 2001.
  • 5. Citation Count – 273 APPLICATION OF WIRELESS SENSOR NETWORKS FOR GREENHOUSE PARAMETER CONTROL IN PRECISION AGRICULTURE D.D.Chaudhary1 , S.P.Nayse2 , L.M.Waghmare3 1 Sinhgad Institute of Technology, Lonavala, Dist. Pune. MS. India 2 Ph.D. Scholar, Sant Gadgebaba University of Amravati. MS. India 3 Shri Guru Govind Singh Institute of Technology, Nanded. MS. India ABSTRACT The technological development in Wireless Sensor Networks made it possible to use in monitoring and control of greenhouse parameter in precision agriculture. In last decades there have been tremendous advancements in technology for agriculture and growth of final yield. Due to uneven natural distribution of rain water it is very crucial for farmers to monitor and control the equal distribution of water to all crops in the whole farm or as per the requirement of the crop. There is no ideal irrigation method available which may be suitable for all weather conditions, soil structure and variety of crops cultures. Green house technology may be the best solution for this solution. All the parameters of greenhouse require a detailed analysis in order to choose the correct method. It is observed that farmers have to bear huge financial loss because of wrong prediction of weather and incorrect irrigation method to crops. In this contest with the evolution in wireless sensor technologies and miniaturized sensor devices, it is possible to uses them for automatic environment monitoring and controlling the parameters of greenhouse, for Precision Agriculture (PA) application. In this paper, we have proposed and analyse the use of Programmable System on Chip Technology (PSoC) as a part of Wireless Sensor Networks (WSN) to monitor and control various parameter of green house. KEYWORDS Greenhouse, Precision Agriculture, Programmable system on chip, Wireless sensor networks For More Details : http://airccse.org/journal/jwmn/0211ijwmn13.pdf Volume Link : http://airccse.org/journal/jwmn_current11.html
  • 6. REFERENCES [1] J. Burrell et al. Vineyard computing: sensor networks in agricultural production. IEEE Pervasive Computing, 3(1):38–45, Jan-Mar 2004. [2] Blackmore, S. (1994). ―Precision Farming: An Introduction. Outlook on Agriculture‖ 23(4) 4, 275-280. [3] Ning Wang, Naiqian Zhang, Maohua Wang, ―Wireless sensors in agriculture and food Industry —Recent development and future perspective, published in Computers and Electronics in Agriculture 50 (2006) 1–14. [4] R. Beckwith, D. Teibel, and P. Bowen, "Unwired wine: sensor networks in vineyards," 2004, pp. 561- 564. [5] A. Baggio, "Wireless Sensor Networks in Precision Agriculture," 2005 [6] I. F., Su, W., Sankarasubramaniam, Y., & Cayirci, E. (2002). ―Wireless sensor networks: a survey on Computer Networks, 38, 393-422. [7] Guide et al. Automatic data acquisition and control mobile laboratory network for crop production systems data management and spatial variability studies in the Brazilian Centre- West region. ASAE 2001 Annual International Meeting. Paper No. 01-1046, pp. 1-8. [8] Lee et al. Silage yield monitoring system. ASAE 2002, Paper No.021165. [9] Ning Wang, Naiqian Zhang, Maohua Wang,” Wireless sensors in agriculture and food industry—Recent development and future perspective’ http://www.ecaa.ntu.edu.tw [10] Cugati et al. 2003. Automation concepts for the variable-rate fertilizer applicator tree farming. The Proceedings of the 4th European Conference in Precision Agriculture, Berlin, Germany. [11] K. Mayer, K. Taylor, and K. Ellis. Cattle health monitoring using wireless sensor networks. In Second IASTED International Conference on Communication and Computer Networks, Cambridge, Massachusetts, USA, Nov. 2004. [12] T. Schoellhammer, B. Greenstein, E. Osterweil, M. Wimbrow, and D. Estrin. Lightweight Networked Sensors (EmNetS-I), Tampa, Florida, USA, Nov. 2004. [13] J. Thelen et al. Radio wave propagation in potato fields. In First workshop on Wireless Network Measurements (located with WiOpt 2005), Riva del Garda, Italy, Apr. 2005. [14] W. Zhang, G. Kantor, and S. Singh Integrated wireless sensor/actuator networks in agricultural applications. In Second ACM International Conference on Embedded NetworkedSensor Systems (SenSys), page 317, Baltimore, Maryland, USA, Nov. 2004.
  • 7. [15] Rodríguez, F. Modeling and hierarchical control of greenhouse crop production (in Spanish). PhD thesis, University of Almería, Spain, 2002. [16] http://www.cypress.com. [17] http://internetjournals.net
  • 8. Citation Count – 141 PERFORMANCE COMPARISONS OF ROUTING PROTOCOLS IN MOBILE AD HOC NETWORKS P. Manickam1 , T. Guru Baskar2 , M.Girija3 , Dr.D.Manimegalai4 1,2 Department of Applied Sciences, Sethu Institute of Technology, India 3 Department of Computer Science, The American College, India 4 Department of Information Technology, National Engineering College, India ABSTRACT Mobile Ad hoc Network (MANET) is a collection of wireless mobile nodes that dynamically form a network temporarily without any support of central administration. Moreover, Every node in MANET moves arbitrarily making the multi-hop network topology to change randomly at unpredictable times. There are several familiar routing protocols like DSDV, AODV, DSR, etc… which have been proposed for providing communication among all the nodes in the network. This paper presents a performance comparison of proactive and reactive protocols DSDV, AODV and DSR based on metrics such as throughput, packet delivery ratio and average end-to-end delay by using the NS-2 simulator. KEYWORDS MANET, DSDV, AODV, DSR, Throughput, Packet Delivery Ratio, Average End-to-End delay For More Details : http://airccse.org/journal/jwmn/0211ijwmn09.pdf Volume Link : http://airccse.org/journal/jwmn_current11.html
  • 9. REFERENCES [1] C.Sivaram murthy, B.S.Manoj, Adhoc wireless networks:Architectures, and protocols, Pearson Education, 2004. [2] Mohammed Bouhorma, H.Bentaouit and A.Boudhir, “Performance comparison of Ad hocRouting protocols AODV and DSR” ,IEEE 2009. [3] Tao Lin, Scott F.Midkiff and Jahng S.Park ,”A framework for Wireless Ad hoc RoutingProtcols”, IEEE 2003. [4] Zuraida Binti Abdullah Hani and Mohd. Dani Bin Baba, “Designing Routing protocolsfor Mobile Ad hoc networks”,IEEE 2003. [5] Mehran Abolhasan, Tadeusz Wysocki and Eryk Dutkiewicz ,” A review of routing protocols for mobile ad hoc networks”, Elsevier 2003. [6] Tracy Camp, Jeff Boleng and Vanessa Davies, “ A Survey of Mobility Models for AdHoc Networks Research”, Wireless communiaion & Mobile Computing (WCMC) 2002. [7] Yih-Chun Hu and David B.Johnson “,Caching Strategies in On-Demand Routing Protocols for Wireless Ad hoc Networks”,ACM 2000. [8] H.M. El-Sayed,O.Bazon and U.Qureshi and M.Jaseemuddin “Performance Evaluation ofTCP in Mobile Ad –Hoc Networks”. [9] Manoj B.S., Ad hoc Wireless Networks: Architectures and Protocols, Prentice Hall ofIndia, 2004. [10] Mansoor Mohsin and Ravi Prakash, “IP Address Assignment in a Mobile Ad Hoc Network”, University of Taxas at Dallas, 2002. [11] Sanket Nesargi and Ravi Prakash, “MANETconf: Configuration of Hosts in a Mobile Ad Hoc Network”, INFOCOM 2002.” [12] C.Perkins, “Ad hoc on-demand distance vector (AODV) routing” ,RFC 3561,July 2003 [13] D.Johnson, “The Dynamic Source Routing Protocol (DSR)”, RFC4728, Feb 2007. [14] C.Perkins ,Praving Bhagwat, “Highly dynamic destination sequenced distance vector routing (DSDV) for Mobile computers”. [15] Dhiraj Nitnaware, Ajay Verma, “Energy constraint Node cache based routing protocol for Adhoc Network”, IJWMN, Feb. 2010.
  • 10. [16] Mehran Abolhasan, Tadeusz Wysoci, Eryk Dutkiewicz, “A review of routing protocols for mobile ad hoc networks”, ELSEVIER , 2003. [17] Changling Liu, Jorg Kaiser, “A survey of Mobile Ad Hoc Network Routing Protocols”, University of Magdeburg, 2005. [18] Md. Golam Kaosar, Hafiz M. Asif, Tarek R. Sheltami, Ashraf s. Hasan Mahmoud, “SimulationBased Comparative Study of On-Demand Routing Protocols for MANET”. [19] Thomas Heide Clausen, Phillippe Jacquet and Laurent Viennot, “Comparative Study of Routing Protocols for Mobile Ad-hoc Networks”. [20] Saiful Azadm, Arafatur Rahman and Farhat Anwar, “A Performance comparison of Proactive and Reactive Routing protocols of Mobile Ad hoc Networks(MANET))”, Journal of Engineering and Applied Sciences, 2007. [21] Nadia Qasim, Fatin Said and Hamid Aghvami, “Mobile Ad hoc Networks simulations using Routing protocols for Performance comparisons”, Proceedings of the world congress on Engineering, WCE, VOL I, 2008. [22] Wang Lin-zhu, FANG Ya-qin and SHAN Min, “Performance comparison of Two Routing Protocols for Ad Hoc Networks”, WASE International conference on Information Engineering, 2009. [23] C.Mbarushimana and A.Shahrabi, “Comparative study of Reactive and Proactive Routing protocols performance in Mobile Ad Hoc Networks”, AINAW-IEEE, 2007.
  • 11. Citation Count – 111 SINR, RSRP, RSSI AND RSRQ MEASUREMENTS IN LONG TERM EVOLUTION NETWORKS 1 Farhana Afroz, 1 Ramprasad Subramanian, 1 Roshanak Heidary, 1 Kumbesan Sandrasegaran and 2 Solaiman Ahmed 1 Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia 2 Department ofElectrical and Electronic Engineering, University of Dhaka, Bangladesh ABSTRACT The four basic Radio Resource Management (RRM) measurements in Long Term Evolution (LTE) system are Channel Quality Indicator (CQI), Reference Signal Received Power (RSRP), Reference Signal Received Quality (RSRQ), and Carrier Received Signal Strength Indicator (RSSI). A measurement of channel quality represented by Signal to Interference plus Noise Ratio (SINR) is used for link adaptation along with packet scheduling, whereas RSRP and RSRQ are needed for making handover decision during intra-eUTRAN (evolved Universal Terrestrial Random Access Network) handover in LTE. In this paper, some practical measurement results recorded from a live LTE network of Australia using a commercial measurement tool namely NEMO Handy are analysed to verify the possible relationships among SINR, RSRP, RSSI and RSRQ as well as to evaluate the effects of SNR on throughput. In addition, the intraeUTRAN handover events occurred during the test period within the test area are studied. The analysis yields some useful information such as: if the SINR is good for a measurement slot, higher throughput is achieved; RSRP and SNR are proportional to each other on average; and lesser is the difference between RSSI and RSRP, better is the RSRQ – each of which is consistent with theory. All the measurement results are evaluated using computer programs built on MATLAB platform. KEYWORDS RRM, SINR, RSRP, RSSI, RSRQ, Link Adaptation, Packet Scheduling, Throughput, Handover For More Details : http://airccse.org/journal/jwmn/7415ijwmn09.pdf Volume Link : http://airccse.org/journal/jwmn_current15.html
  • 12. REFERENCES [1] A. Ghosh and R. Ratasuk (2011), Essentials of LTE and LTE-A, Cambridge UK, New York: Cambridge University Press. [2] F. Afroz, K. Sandrasegaran and P. Ghoshal (2014), “Performance Analysis of PF, M- LWDF and EXP/PF Packet Scheduling Algorithms in 3GPP LTE Downlink,” Australasian Telecommunication Networks and Applications Conference (ATNAC), November 2014, pp. 87-92. [3] F. Afroz (2014), Research in 4G Mobile Network, MES Project, University of Technology, Sydney. [4] J. Bannister, P. Mather and S. Coope (2004), Convergence Technologies for 3G Networks: IP, UMTS, EGPRS and ATM, John Wiley & Sons. [5] G. Piro, L. A. Grieco, G. Boggia, F. Capozzi, and P. Camarda (2011), "Simulating LTE cellular systems: an open- source framework," IEEE Transactions on Vehicular Technology, vol. 60, pp. 498-513. [6] H. Holma and A. Toskala (2009), LTE for UMTS: OFDMA and SC-FDMA based radio access, John Wiley & Sons Ltd. [7] L. Luan, M. Wu, J. Shen, J. Ye and X. He (2012), “Optimization of Handover Algorithms in LTE High-speed Railway networks,” International Journal of Digital Content Technology and its Applications (JDCTA), vol. 6, no. 5. [8] D. G. Ainscough (2001), The Evolution and Future of Mobile Communication Systems, ICT Report. Available: http://www.foresightfordevelopment.org [9] H. Holma and A. Toskala (2011), LTE for UMTS: Evolution to LTE-Advanced, Chichester, West Sussex: John Wiley & Sons. [10] S. Sesia, I. Toufik, and M. Baker (2009), LTE- The UMTS Long Term Evolution: From Theory to Practice, Chichester, U.K. Wiley. [11] 3GPP TS 36.214 version 11.1.0 Release 11 (2013), “LTE; Evolved Universal Terrestrial Radio Access (E-UTRA); Physical layer; Measurements”. Available: http://www.etsi.org
  • 13. Citation Count – 101 SMART LIVING USING BLUETOOTHBASED ANDROID SMARTPHONE Ming Yan and Hao Shi College ofEngineering and Science, VictoriaUniversity, Melbourne, Australia ABSTRACT With the development of modern technology and Android Smartphone, Smart Living is gradually changing people’s life. Bluetooth technology, which aims to exchange data wirelessly in a short distance using short-wavelength radio transmissions, is providing a necessary technology to create convenience, intelligence and controllability. In this paper, a new Smart Living system called home lighting control system using Bluetooth-based Android Smartphone is proposed and prototyped. First Smartphone, Smart Living and Bluetooth technology are reviewed. Second the system architecture, communication protocol and hardware design aredescribed. Then the design of a Bluetooth-based Smartphone application and the prototype are presented. It is shown that Android Smartphone can provide a platform to implement Bluetooth-based application for Smart Living. KEYWORDS Android smartphone, Smart Living, Bluetooth module, single chip microcomputer, home automation For More Details : http://airccse.org/journal/jwmn/0213wmn05.pdf Volume Link : http://airccse.org/journal/jwmn_current13.html
  • 14. REFERENCES [1] Heidi Monson (1999)Bluetooth Technology and Implications, John Wiley & Sons. [2] Cano, J.-C., Manzoni,P. and Toh, C.K. (2006). “UbiqMuseum: A Bluetooth and Java Based Context-Aware System for Ubiquitous Computing”, Wireless Personal Communications, Vol.38, pp.187-202. [3] Dimitrakopoulos,G., Tsagkaris,K., Stavroulaki,V., Katidiotis,A., Koutsouris,N., Demestichas, P., Merat,V. and Walter,S. (2008) "A Management Framework for Ambient Systems Operating in Wireless B3G Environments", Springer Mobile Networks and Applications, Vol. 13 , No. 6, pp. 555-568. [4] Savic, S. and Shi, H. (2011) An Intelligent Object Framework for Smart Living, Procedia Computer Science 5 (2011) 386–393. [5] Adams, C. and Millard, P. (2003) "Personal Trust Space and Devices: "Geography will not be History" in the m-commerce future". HawaiiInternational Conference on Business (HICB2003), 18-21 June 2003, Sheraton Waikiki Hotel, Honolulu, Hawaii, USA. [6] Chung, C.-C., Wang, S.-C., Huang, C. Y., and Lin, C.-M.(2011) "Bluetooth-based Android Interactive Applications for Smart Living", 2011 Second International Conference on Innovations in Bio-inspired Computing and Applications (IBICA-2011), Shenzhen, China, 16- 18December 2011,pp.309-312. [7] The Android open source project, http://source.android.com/. [8] Tom, M. and Sitte, J. (2006) "Family System: A Reference Model for Developing Home Automation Applications", IEEE International Conference on Systems, Man, and Cybernetics, 8- 11October 2006, Taipei, Taiwan, pp. 32-37. [9] Piyare, R. andTazil, M. (2011) “Bluetooth based home automation system using cell phone”, IEEE 15th International Symposium on Consumer Electronics (ISCE), 14-17 June 2011, Singapore, pp. 192 – 195. [10] Potts, J. and Sukittanon, S. (2012) "Exploiting Bluetooth on Android mobile devices for home security application", Proceedings of IEEE SoutheastCon, 15-18 March 2012, Orlando, Florida, USA, pp. 1-4. [11] Al-Ali, A.R.and AL-Rousan,M. (2004) "Java-Based Home Automation System",IEEE Transaction on Consumer Electronics, Vol.50, No. 2, pp. 498 - 504. [12] Shepherd, R. (2001) "Bluetooth Wireless Technology in the Home", Electronics & Communication Engineering, Vol. 13, No. 5, pp.195-203 [13] BF10 Bluetooth Mould v2.0, http://www.lanwind.com/files/BF10-A-en.pdf
  • 15. [14] Specifications of the Bluetooth System(Core),v1.0 B, December 1st 1999 http://grouper.ieee.org/groups/802/15/Bluetooth/core_10_b.pdf [15] Buttery, S. and Sago,A.(2003) “Future Applications of Bluetooth”, BT Technology Journal, Vol. 21, No.3, pp.48-55 [16] Sriskanthan,N., Tan,F. andKarande,A.(2002)“Bluetooth based Home Automation System”, Elsevier Journal of Microprocessors and Microsystems, Vol. 26, pp. 281–289. [17] Chieng D. and TingG.(2007) "High-level Capacity Performance Insights into Wireless Mesh Networking". BT Technology Journal, Vol. 25, Issue 2, pp.76-86. [18] Arduino, iOS, Android, and Technology Tit Bits, http://sree.cc/google/android/using- bluetooth-in-android [19] Mannings,R. and Cosier, G. (2004) "Wireless Everything - Unwiring the World", BT Technology Journal,Vol. 19, No. 4, pp.65-76.
  • 16. Citation Count – 95 EFFICIENT MULTI-PATH PROTOCOL FOR WIRELESS SENSOR NETWORKS Shuang Li1 , Raghu Kisore Neelisetti2 , Cong Liu3 , and Alvin Lim2 1 Department of Computer Science and Engineering, The Ohio State University, Columbus, Ohio, USA 2 Department of Computer Science and Software Engineering, Auburn, Alabama, USA 3 Department of Computer Science and Engineering, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA ABSTRACT Wireless sensor networks are useful for streaming multimedia in infrastructure-free and hazardous environments. However, these networks are quite different from their wired counterpart and are composed of nodes with constrained bandwidth and energy. Multiple- path transmission is one of the methods for ensuring QoS routing in both wired and wireless environment. Directed diffusion, a well known wireless sensor network protocol, only routes packets through a single path, which barely meets the throughput requirement of multimedia data. Instead, we propose a multipath algorithm based on directed diffusion that reinforces multiple routes with high link quality and low latency. This algorithm retains the merits of the original directed diffusion algorithms, including its energy efficiency and scalability. A hybrid metric of link quality and latency is used as the criterion for path selection. In order to select disjoint paths, we propose a scheme for reinforced nodes to respond negatively to multiple reinforcement messages. We use the NS-2 simulation tool with video trace generated by Multiple Description Coding (MDC) to evaluate the performance. The results show that our algorithm gives better throughput and delay performance, i.e higher video quality, than standard directed diffusion that transmits over a single path, with low overheads and energy consumption. KEYWORDS Wireless Multimedia Sensor networks, QoS, real-time, throughput, delay For More Details : http://airccse.org/journal/jwmn/0210s9.pdf Volume Link : http://airccse.org/journal/jwmn_current10.html
  • 17. REFERENCES [1] H.264/mpeg-4 avc, http://en.wikipedia.org/wiki/H.264. [2] A. Begen, Y. Altunbasak, and O. Ergun, Fast heuristics for multi-path selection for multiple description encoded video streaming, ICME '03. International Conference on Multimedia and Expo, vol. 1, pp. I-517-520, 6-9 July 2003. [3] S. Mao, S. Panwar, and Y. Hou, .On optimal partitioning of realtime traffic over multiple paths, INFOCOM 2005. 24th Annual Joint Conference of the IEEE Computer and Communications Societies. Proceedings IEEE, vol. 4, pp. 2325-2336, 13-17 March 2005. [4] S.-J. Lee and M. Gerla, Split multipath routing with maximally disjoint paths in ad hoc networks, IEEE International Conference on Communications, vol. 10, pp. 3201-3205, 2001. [5] M. R. Pearlman, Z. J. Haas, P. Sholander, and S. S. Tabrizi, On the impact of alternate path routing for load balancing in mobile ad hoc networks, in MobiHoc '00: Proceedings of the 1st ACM international symposium on Mobile ad hoc networking & computing. Piscataway, NJ, USA: IEEE Press, 2000, pp. 3-10. [6] D. Sidhu, R. Nair, and S. Abdallah, Finding disjoint paths in networks, in SIGCOMM '91: Proceedings of the conference on Communications architecture & protocols. New York, NY, USA: ACM, 1991, pp. 43-51. [7] C. Intanagonwiwat, R. Govindan, D. Estrin, J. Heidemann, and F. Silva, Directed diffusion for wireless sensor networking, IEEE/ACM Transactions on Networks, vol. 11, no. 1, pp. 2-16, 2003. [8] S. Mao, S. Lin, S. Panwar, Y. Wang, and E. Celebi, Video transport over ad hoc networks: multistream coding with multipath transport, Selected Areas in Communications, IEEE Journal on, vol. 21, no. 10, pp. 1721-1737, Dec. 2003. [9] V. Goyal, Multiple description coding: compression meets the network, Signal ProcessingMagazine, IEEE, vol. 18, no. 5, pp. 74-93, Sep 2001. [10] Y. Wang and S. Lin, Error resilient video coding using multiple description motion compensation, IEEE Fourth Workshop on Multimedia Signal Processing,, pp. 441 - 446, 2001. [11] W. Xiuchao, Simulate 802.11b channel within ns2, SOC, NUS, Tech. Rep. [12] S. Li, A. Lim, S. Kulkarni, and C. Liu, Edge: A routing algorithm for maximizing throughput and minimizing delay in wireless sensor networks, Military Communications Conference, MILCOM 2007, IEEE, pp. 1-7, 29-31 Oct. 2007. [13] C. Lu, B. M. Blum, T. F. Abdelzaher, J. A. Stankovic, and T. He, Rap: A real-time communication architecture for large-scale wireless sensor networks, Charlottesville, VA, USA, Tech. Rep., 2002.
  • 18. [14] Tian He, John A. Stankovic, Chenyang Lu and Tarek F. Abdelzaher A spatiotemporal communication protocol for wireless sensor networks,. IEEE Trans. Parallel Distrib. Syst., vol. 16, no. 10, pp. 995-1006, 2005. [15] Emad Felemban, Chang-Gun Lee and Eylem Ekici, Mmspeed: Multipath multi-speed protocol for QoS guarantee of reliability and timeliness in wireless sensor networks, IEEE Transactions on Mobile Computing, vol. 5, no. 6, pp. 738-754, 2006. [16] X. Lin and I. Stojmenovic, Location-based localized alternate, disjoint and multi-path routing algorithms for wireless networks, J. Parallel Distrib. Comput., 2002. [17] S. Lin, S. Mao, Y. Wang, and S. Panwar, A reference picture selection scheme for video transmission over ad-hoc networks using multiple paths, ICME 2001. IEEE International Conference on Multimedia and Expo, pp. 96-99, 22-25 Aug. 2001. [18] S. Mao, S. Lin, S. S. Panwar, Y. Wang, Reliable transmission of video over ad hoc networks using automatic repeat request and multipath transport, in IEEE VEHICULAR TECHNOLOGY CONFERENCE, CONF 54; VOL 2, pages 615-619, 2001. [19] Liran Ma, Qian Zhang, Fengguang An, and Xiuzhen Cheng, Diar: A dynamic interference aware routing protocol for IEEE 802.11-based mobile ad hoc networks, in International Conference on Mobile Ad-hoc and Sensor Networks (MSN), LNCS, 2005. [20] E. Weiss, O. Klein, G. Hiertz and B. Walke, Capacity and interference aware ad hoc routing in multi-hop networks, in Proceedings of 12th European Wireless conference, 2006. [21] D.-Q. Nguyen and P. Minet, Interference-aware QoS OLSR for mobile ad-hoc network routing, in SNPD-SAWN '05: Proceedings of the Sixth International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/ Distributed Computing and First ACIS International Workshop on Self-Assembling Wireless Networks. Washington, DC, USA: IEEE Computer Society, 2005, pp. 428-435. [22] D. B. Johnson and D. A. Maltz, Dynamic source routing in ad hoc wireless networks, Mobile Computing, vol. 353, 1996. [23] C. E. Perkins and P. Bhagwat, Highly dynamic destination-sequenced distance-vector routing (dsdv) for mobile computers, in SIGCOMM '94: Proceedings of the conference on Communications architectures, protocols and applications. New York, NY, USA: ACM, 1994, pp. 234 - 244. [24] R. Draves, J. Padhye, and B. Zill, Comparison of routing metrics for static multi-hop wireless networks, in SIGCOMM '04: Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications. New York, NY, USA: ACM, 2004, pp. 133 - 144. [25] S. Russell and P. Norvig, Artificial Intelligence: A Modern Approach. Prentice Hall, 1995. [26] J. J. Lemmon, Wireless link statistical bit error model, NTIA Report 02-394, Tech. Rep.,
  • 19. 2002. [27] S. Lee, B. Bhattacharjee, and S. Banerjee, .Efficient geographic routing in multihop wireless networks, in MobiHoc '05: Proceedings of the 6th ACM international symposium onMobile ad hoc networking and computing. New York, NY, USA: ACM, 2005, pp. 230-241. [28] Z. Ye, S. Krishnamurthy and S. Tripathi, A framework for reliable routing in mobile ad hoc networks, INFOCOM 2003. Twenty-Second Annual Joint Conference of the IEEE Computer and Communications Societies. IEEE, vol. 1, pp. 270-280, 30 March-3 April 2003. [29] D. De Couto, D. Aguayo, J. Bicket, and R. Morris, A high-throughput path metric for multi-hop wireless routing, Wirel. Netw., vol. 11, no. 4, pp. 419-434, 2005. [30] Constraint Satisfaction Problems. http://aima.cs.berkeley.edu/newchap05.pdf. [31] G. Feng, K. Makki, N. Pissinou, and C. Douligeris, An efficient approximate algorithm for delay-cost-constrained QoS routing, Tenth International Conference on Computer Communications and Networks, pp. 395 - 400, 2001. [32] D. West, Introduction to Graph Theory. Prentice-Hall, 1996. [33] Video Trace Library. http://trace.eas.asu.edu
  • 20. Citation Count – 87 EMERGING WIRELESS TECHNOLOGIES IN THE INTERNET OF THINGS: A COMPARATIVE STUDY Mahmoud Elkhodr, Seyed Shahrestani and Hon Cheung School of Computing, Engineering and Mathematics, Western Sydney University, Sydney, Australia ABSTRACT The Internet of Things (IoT) incorporates multiple long-range, short-range, and personal area wireless networks and technologies into the designs of IoT applications. This enables numerous business opportunities in fields as diverse as e-health, smart cities, smart homes, among many others. This research analyses some of the major evolving and enabling wireless technologies in the IoT. Particularly, it focuses on ZigBee, 6LoWPAN, Bluetooth Low Energy, LoRa, and the different versions of Wi-Fi including the recent IEEE 802.11ah protocol. The studies evaluate the capabilities and behaviours of these technologies regarding various metrics including the data range and rate, network size, RF Channels and Bandwidth, and power consumption. It is concluded that there is a need to develop a multifaceted technology approach to enable interoperable and secure communications in the IoT. KEYWORDS Internet of Things, Wireless Technologies, Low-power, M2M Communications. For More Details : https://aircconline.com/ijwmn/V8N5/8516ijwmn05.pdf Volume Link : http://airccse.org/journal/jwmn_current16.html
  • 21. REFERENCES [1] B. Sanou, "The World in 2013: ICT facts and figures," International Telecommunications Union, 2013. [2] C. V. N. Index, "Global mobile data traffic forecast update, 2010-2015," White Paper, February, 2011. [3] C. V. N. Index, "The zettabyte era–trends and analysis," Cisco white paper, 2013. [4] L. Li, H. Xiaoguang, C. Ke, and H. Ketai, "The applications of WiFi-based wireless sensor network in internet of things and smart grid," in 2011 6th IEEE Conference on Industrial Electronics and Applications (ICIEA), 2011, pp. 789-793. [5] R. Want, B. N. Schilit, and S. Jenson, "Enabling the internet of things," Computer, pp. 28- 35, 2015. [6] D. Christin, A. Reinhardt, P. S. Mogre, and R. Steinmetz, "Wireless Sensor Networks and the Internet of Things: Selected Challenges," presented at the The 8th GI/ITG KuVSFachgesprächDrahtloseSensornetze, 2009. [7] Z. Sheng, S. Yang, Y. Yu, A. Vasilakos, J. Mccann, and K. Leung, "A survey on the ietf protocol suite for the internet of things: Standards, challenges, and opportunities," IEEE Wireless Communications, vol. 20, pp. 91-98, 2013. [8] S. Lee, D. Yoon, and A. Ghosh, "Intelligent parking lot application using wireless sensor networks," in International Symposium on Collaborative Technologies and Systems, 2008, pp. 4857. [9] W. Lemstra, V. Hayes, and J. Groenewegen, The innovation journey of Wi-Fi: The roadto global success: Cambridge University Press, 2010. [10] F. Rusek, D. Persson, B. K. Lau, E. G. Larsson, T. L. Marzetta, O. Edfors, et al., "Scaling up MIMO: Opportunities and challenges with very large arrays," IEEE Signal Processing Magazine, vol. 30, pp. 40-60, 2013. [11] E. Perahia and R. Stacey, Next Generation Wireless LANs: 802.11 n and 802.11 ac: Cambridge university press, 2013. [12] I. F. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci, "Wireless Sensor Networks: A Survey," Computer Networks, vol. 38, pp. 393-422, 2002. [13] L. Verma, M. Fakharzadeh, and S. Choi, "WiFi on Steroids: 802.11 ac and 802.11 ad," IEEE Wireless Communications, vol. 20, pp. 30-35, 2013. [14] T. Adame, A. Bel, B. Bellalta, J. Barcelo, and M. Oliver, "IEEE 802.11 AH: theWiFi
  • 22. approach for M2M communications," IEEE Wireless Communications, vol. 21, pp. 144- 152, 2014. [15] IEEE. (2015, 30/05/2014). IEEE P802.11 Sub 1GHz Study Group. Available: http://www.ieee802.org/11/Reports/tgah_update.htm [16] E. Khorov, A. Lyakhov, A. Krotov, and A. Guschin, "A survey on IEEE 802.11 ah: An enabling networking technology for smart cities," Computer Communications, pp. 53- 69, 2014. [17] T. Adame, A. Bel, B. Bellalta, J. Barcelo, J. Gonzalez, and M. Oliver, "Capacity analysis of IEEE 802.11 ah WLANs for M2M communications," in Multiple Access Communcations,ed: Springer, 2013, pp. 139- 155. [18] Qualcomm. (2014, 12/10/2014). Improving whole home coverage and power efficiency. Available: https://www.qualcomm.com/invention/research/projects/wi-fi- evolution/80211ah [19] O. Raeesi, J. Pirskanen, A. Hazmi, T. Levanen, and M. Valkama, "Performance evaluation of IEEE 802.11 ah and its restricted access window mechanism," in 2014 IEEE International Conference on Communications Workshops (ICC), 2014, pp. 460- 466. [20] S. Aust, R. V. Prasad, and I. G. Niemegeers, "Outdoor long-range WLANs: a lesson for IEEE 802.11 ah," IEEE Communications Surveys & Tutorials, vol. 17, pp. 1761-1775, 2015. [21] P. Valerio. (2014) Can Sub-1GHz WiFi Solve The IoT Connectivity Issues? The New Global Enterprise. Available: http://www.frontwave.eu/2014_12_01_archive.html [22] A. B. Flores, R. E. Guerra, E. W. Knightly, P. Ecclesine, and S. Pandey, "IEEE 802.11 af: a standard for TV white space spectrum sharing," IEEE Communications Magazine, vol. 51, pp. 92100, 2013. [23] S. K. Mohapatra, R. R. Choudhury, and P. Das, "The Future Directions in Evolving WI- FI: Technologies, Applications, and Services," International Journal of Next-Generation Networks, vol. 6, pp. 13-22, 2014. [24] Bluetooth SIG. (2001, 01/05/2014). Bluetooth specification version 1.1. Available: http://www.bluetooth.com [25] (2015, 11/12/2014). Bluetooth Smart Technology: Powering the Internet of Things. Available: http://www.bluetooth.com/Pages/Bluetooth-Smart.aspx [26] J. Decuir, "Bluetooth Smart Support for 6LoBTLE: Applications and connection questions," IEEE Consumer Electronics Magazine, vol. 4, pp. 67-70, 2015. [27] Bluetooth SIG. (2012, 11/04/2015). Bluetooth Core Version 4.0. Available: https://www.bluetooth.org/Technical/Specifications/adopted.htm [28] J. Hui and D. Culler. 6LoWPAN: Incorporating IEEE 802.15.4 into the IP architecture.
  • 23. Available: http://www.ipso-alliance.org/wp-content/media/6lowpan.pdf [29] M. B. Baria, A. P. Gharge, and N. D. Sheth, "A Review of Zigbee Smart Energy," in International Journal of Engineering Development and Research, 2014. [30] N. Baker, "ZigBee and Bluetooth: Strengths and weaknesses for industrial applications," Computing and Control Engineering, vol. 16, pp. 20-25, 2005. [31] A. J. Jara, L. Ladid, and A. F. Gómez-Skarmeta, "The Internet of Everything through IPv6: An Analysis of Challenges, Solutions and Opportunities," JoWUA, vol. 4, pp. 97- 118, 2013. [32] L. Alliance, "LoRa alliance–wide area networks for IoT," ed, 2015. [33] F. Siddiqui, S. Zeadally, and K. Salah, "Gigabit Wireless Networking with IEEE 802.11 ac: Technical Overview and Challenges," Journal of Networks, vol. 10, pp. 164-171, 2015. [34] F.Stroud. (2015, 15/01/2015). 802.11ac. Available: http://www.webopedia.com/TERM/8/802_11ac.html [35] P. Anitha and C. Chandrasekar, "Energy Aware Routing Protocol ForZigbee Networks," Journal of Computer Applications (JCA), vol. 4, pp. 92-94, 2011. [36] P. McDermott-Wells, "What is bluetooth?," IEEE Potentials, vol. 23, pp. 33-35, 2004. [37] IEEE 802.11 Working Group, "IEEE Standard for Information Technology– Telecommunications and information exchange between systems–Local and metropolitan area networks–Specific requirements–Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) specifications Amendment 6: Wireless Access in Vehicular Environments," IEEE Std, vol. 802, p. 11, 2010. [38] A. Dementyev, S. Hodges, S. Taylor, and J. Smith, "Power Consumption Analysis of Bluetooth Low Energy, ZigBee and ANT Sensor Nodes in a Cyclic Sleep Scenario " Microsoft Research, pp. 1-5, 2013. [39] B. B. Olyaei, J. Pirskanen, O. Raeesi, A. Hazmi, and M. Valkama, "Performance comparison between slotted IEEE 802.15. 4 and IEEE 802.1 lah in IoT based applications,"in IEEE 9th International Conference on Wireless.
  • 24. Citation Count – 79 NETWORK EVOLUTION AND QOS PROVISIONING FOR INTEGRATED FEMTOCELL/MACROCELL NETWORKS Mostafa Zaman Chowdhury1 , Yeong Min Jang2 , and Zygmunt J. Haas3 1,2 Department of Electronics Engineering, Wireless Networks and Communications Lab Kookmin University, Seoul, Korea 3 Department of Electrical and Computer Engineering, Wireless Networks Lab Cornell University, Ithaca, NY, USA. ABSTRACT Integrated femtocell/macrocell networks, comprising a conventional cellular network overlaid with femtocells, offer an economically appealing way to improve coverage, quality of service, and access network capacity. The key element to successful femtocells/macrocell integration lies in its selforganizing capability. Provisioning of quality of service is the main technical challenge of the femtocell/macrocell integrated networks, while the main administrative challenge is the choice of the proper evolutionary path from the existing macrocellular networks to the integrated network. In this article, we introduce three integrated network architectures which, while increasing the access capacity, they also reduce the deployment and operational costs. Then, we discuss a number of technical issues, which are key to making such integration a reality, and we offer possible approaches to their solution. These issues include efficient frequency and interference management, quality of service provisioning of the xDSL-based backhaul networks, and intelligent handover control. KEYWORDS Femtocells, Femtocellular Network Architecture, Femtocell/Macrocell Integration, Integrated Network Architecture, Indoor Wireless Coverage, Self-Organizing Capability For More Details : http://airccse.org/journal/jwmn/0203ijwmn01.pdf Volume Link : http://airccse.org/journal/jwmn_current10.html
  • 25. REFERENCES [1] D. Lopez-Perez, G. de la Roche, A. Valcarce, A. Juttner, and J. Zhang, “Interference Avoidance and Dynamic Frequency Planning for WiMAX Femtocells Networks,” Proc. of IEEE Int. Conf. on Commun. Systems (ICS), Nov. 2008. [2] The Femto Forum, “Regulatory Aspects of Femtocells,” May 2008. [3] 3GPP TR R25.820, “3G Home NodeB Study Item,” March 2008. [4] M. Z. Chowdhury, W. Ryu, E. Rhee, and Y. M. Jang, “Handover between Macrocell and Femtocell for UMTS based Networks,” Proc. of IEEE Int. Conf. on Adv. Commun. Technology (ICACT), Feb. 2009. [5] H. Claussen, L. T. W. Ho, and L. G. Samuel, “An Overview of the Femtocell Concept,”Bell Labs Technical Journal, 2008. [6] L. Eastwood, S. Migaldi, Q. Xie, and V. Gupta, “Mobility Using IEEE 802.21 in a Heterogeneous IEEE 802.16/802.11-based, IMT-Advanced (4G) Network,” IEEE Wireless Commun., April 2008. [7] http://www.cellular-news.com/story/33163.php [8] 3GPP TR R3.020, “Home (e)NodeB; Network Aspects,” Sept. 2008. [9] V. Chandrasekhar, J. G. Andrews, and A. Gatherer, “Femtocell Networks: A Survey,” IEEE Commun. Magazine, Sept. 2008. [10] M. Z. Chowdhury, S. W. Choi, Y. M. Jang, K. S. Park, and G. Yoo, “Dynamic SLA Negotiation using Bandwidth Broker for Femtocell Networks,” IEEE Int. Conf. on Ubiquitous and Future Networks (ICUFN), June 2009. [11] M. Z. Chowdhury, Y. M. Jang, and Z. J. Haas, “Interference Mitigation Using Dynamic Frequency Re-use for Dense Femtocell Network Architectures,” IEEE Int. Conf. on Ubiquitous and Future Networks (ICUFN), June 2010. [12] http://www.femtoforum.org [13] http://www.airwalkcom.com [14] 3GPP TS 32.500, “Telecommunication Management; Self-Organizing Networks (SON); Concepts and Requirements,” Dec. 2009. [15] P. Agrawal, J. H. Yeh, J. C. Chen, and T. Zhang, “IP Multimedia Subsystems in 3GPP and 3GPP2: Overview and Scalability Issues,” IEEE Commun. Magazine, Jan. 2008.
  • 26. [16] Z. Duan, Z. L. Zhang, Y. T. Hou, and L. Gao, “A Core Stateless Bandwidth Broker Architecture for Scalable Support of Guaranteed Services,” IEEE Trans. on Parallel and Distributed Systems, Feb. 2004. [17] H. Claussen, L. T. W. Ho, and L. G. Samuel, “Self-optimization of Coverage for Femtocell Deployment,” WTS2008. [18] 3GPP TR 22.978, “All-IP Network (AIPN) Feasibility Study,” Dec. 2008. [19] H. S. Jo, C. Mun, J. Moon, and J. G. Yook, ember, “Interference Mitigation Using Uplink Power Control for Two-Tier Femtocell Networks,” IEEE Trans. on Wireless Commun., Oct. 2009. [20] M. C. Necker, “Interference Coordination in Cellular OFDMA Network,” IEEE Network, Nov./Dec. 2008. [21] G. Boudreau, J. Panicker, N. Guo, R. Chang, N.g Wang, and S. Vrzic, “Interference Coordination and Cancellation for 4G Networks,” IEEE Commun. Magazine, April 2009. [22] S. H. Ali, and V. C. M. Leung, “Dynamic Frequency Allocation in Fractional Frequency Reused OFDMA Networks” IEEE Trans. on Wireless Commun, Aug. 2009. [23] D. N. Knisely, T. Yoshizawa, and F. Favichia, “Standardization of Femtocells in 3GPP,” IEEE Commun. Magazine, Sept. 2009. [24] J. Song, M. Y. Chang, and S. S. Lee, and J. Joung, “Overview of ITU-T NGN QoS Control,” IEEE Commun. Magazine, Sept. 2007. [25] DSL Forum TR-069, “CPE WAN Management Protocol,” May 2004. [26] Broadband Forum TR-098, “Internet Gateway Device Data Model,” 2007. [27] X. Chen, B. Li, and Y. Fang, “A Dynamic Multiple-Threshold Bandwidth Reservation (DMTBR) Scheme for QoS Provisioning in Multimedia Wireless Networks,” IEEE Trans. onWireless Commun., March 2005. [28] C. W. Leong and W. Zhuang, “Soft QoS in Call Admission Control for Wireless Personal Communications,” Wireless Personal Commun., 2002.
  • 27.
  • 28. Citation Count – 66 REQUIREMENTS OF VERTICAL HANDOFF MECHANISM IN 4G WIRELESS NETWORKS Mandeep Kaur Gondara1 and Dr. Sanjay Kadam2 1 Ph. D Student, Computer Science Department, University of Pune, Pune 2 Research Guide, Computer Science Department, University of Pune, Pune ABSTRACT The importance of wireless communication is increasing day by day throughout the world due to cellular and broadband technologies. Everyone around the world would like to be connected seamlessly anytime anywhere through the best network. The 4G wireless system must have the capability to provide high data transfer rates, quality of services and seamless mobility. In 4G, there are a large variety of heterogeneous networks. The users for variety of applications would like to utilize heterogeneous networks on the basis of their preferences such as real time, high availability and high bandwidth. When connections have to switch between heterogeneous networks for performance and high availability reasons, seamless vertical handoff is necessary. The requirements like capability of the network, handoff latency, network cost, network conditions, power consumption and user’s preferences must be taken into consideration during vertical handoff. In this paper, we have extracted the requirements of a vertical handoff from the literature surveyed. The evaluation of the existing work is also being done on the basis of required parameters for vertical handoff. A sophisticated, adaptive and intelligent approach is required to implement the vertical handoff mechanism in 4G wireless networks to produce an effective service for the user by considering dynamic and non dynamic parameters. KEYWORDS 4G wireless networks, VHO, Requirements, RSS, Parameters, Performance For More Details : http://airccse.org/journal/jwmn/0411wmn02.pdf Volume Link : http://airccse.org/journal/jwmn_current11.html
  • 29. REFERENCES [1] Qing-An Zeng & Dharma P. Agrawal, (2002) "Handbook of Wireless Networks and Mobile Computing", John Wiley & Sons Publishers. [2] James Won-ki Hong & Alberto Leon-Garcia, (2005) “Requirements for the Operations and Management of 4G networks", In Proc. of 19th International Conference on PerformanceChallenges for Efficient Next Generation Networks, pp 981-990. [3] http://www.tutorvista.com/-United States [4] J. McNair & F. Zhu, June (2004) “Vertical Handoffs in Fourth-generation Multi - network Environments”, IEEE Wireless Communications, Vol. 11, No. 3, pp 8–15. [5] W. Chen & Y. Shu, March (2005) “Active Application Oriented Vertical Handoff in NextGeneration Wireless Networks”, In Proc. of IEEE WCNC’05, New Orleans, LA. [6] Enrique Stevens-Navarro, Vincent W.S. Wong & Yuxia Lin,March (2007) “A Vertical Handoff Decision Algorithm for Heterogeneous Wireless Networks”, In Proc. of IEEE Wireless Communications and Networking Conference (WCNC'07), Hong Kong, China. [7] http://www.mobilab.unina.it/locationing.htm [8] H.J. Wang, R. H. Katz & J. Giese,(1999) “Policy-Enabled Handoffs across Heterogeneous Wireless Networks”, In proc. of ACM WMCSA. [9] Pramod Goyal & S. K. Saxena,(2008)“A Dynamic Decision Model for Vertical Handoffs across Heterogeneous Wireless Networks”,677 ? 2008 WASET.ORG, World Academy of Science, Engineering and Technology,Issue 41,pp 676-682. [10] SuKyoung Lee , Kotikalapudi Sriram, Kyungsoo Kim, Yoon Hyuk Kim & Nada Golmie,January (2009)“Vertical Handoff Decision Algorithms for Providing Optimized Performance in Heterogeneous Wireless Networks”,IEEE transactions on Vehicular Technology. [11] Joon-Myung Kang, Hong-Taek Ju2 & James Won-Ki Hong,(2006) “Towards Autonomic Handover Decision Management in 4G Networks”, In Proceedings of MMNS'2006,pp145- 157. [12] Mrs. Chandralekha & Dr. Prafulla Kumar Behera,November (2009) “Use of Adaptive Resonance Theory for Vertical Handoff Decision in Heterogeneous Wireless Environment”, International Journal of Recent Trends in Engineering, Vol. 2, No. 3. [13] A. Dvir, R. Giladi, I. Kitroser & M. Segal,February (2010) “Efficient decision handoff mechanism for heterogeneous network”, International journal of Wireless and Mobile networks,Vol. 2, No. 1.
  • 30. [14] K.Ayyappan and P.Dananjayan,(2008)“RSS Measurement for Vertical Handoff in Hetrogeneous Network", International journal of Theoretical and Applied Information Technology,Vol.4,No.10. [15] KunHo Hong,SuKyoung Lee, LaeYoung Kim & PyungJung Song,(2009) ”Cost-Based Vertical Handover Decision Algorithm for WWAN/WLAN Integrated Networks”,EURASIP Journal on Wireless Communications and Networking Volume 2009 , Article ID 372185, 11 pages doi:10.1155/2009/372185. [16] E.Stevens-Navarro,Vincent W.S.Wong & Yuxia Lin,(2007) "A Vertical Handoff Decision Algorithm for Heterogeneous Wireless Networks",In Proc. of Wireless Communications and Networking Conference, IEEE ; doi:10.1109/WCNC. 2007.590 [17] A.J.Onumanyi & E.N.Onwuka,(2011) " Techniques for vertical handoff decision across wireless heterogeneous networks: A survey", in Academic Journal of Scientific Research and Essays,Vol. 6(4),pp.683-687.
  • 31. Citation Count – 65 A self-managing fault management mechanism for wireless sensor networks Muhammad Asim1 and Hala Mokhtar2 and Madjid Merabti3 1 School of Computing and Mathematical Sciences, Liverpool John Moores University 2 School of Computing and Mathematical Sciences, Liverpool John Moores University 3 Schoolof Computing and Mathematical Sciences, Liverpool John Moores University ABSTRACT A sensor network can be described as a collection of sensor nodes which co-ordinate with each other to perform some specific function. These sensor nodes are mainly in large numbers and are densely deployed either inside the phenomenon or very close to it. They can be used for various application areas (e.g. health, military, home). Failures are inevitable in wireless sensor networks due to inhospitable environment and unattended deployment. Therefore, it is necessary that network failures are detected in advance and appropriate measures are taken to sustain network operation. We previously proposed a cellular approach for fault detection and recovery. In this paper we extend the cellular approach and propose a new fault management mechanism to deal with fault detection and recovery. We propose a hierarchical structure to properly distribute fault management tasks among sensor nodes by introducing more ‘self-managing’ functions. The proposed failure detection and recovery algorithm has been compared with some existing related work and proven to be more energy efficient. KEYWORDS Sensor Networks, Fault Management, Fault Detection & Fault Recovery For More Details : http://airccse.org/journal/jwmn/1110ijwmn15.pdf Volume Link : http://airccse.org/journal/jwmn_current10.html
  • 32. REFERENCES [1] M. Z. Khan, M. Merabti, and B. Askwith, "Design Considerations for Fault Management in Wireless Sensor Networks," in PGNet 2009 Liverpool, 2009. [2] L. Paradis and Q. Han, "A Survey of Fault Management in Wireless Sensor Networks," Journal of Network and Systems Management, vol. 15, pp. 171-190, 2007. [3] M. Yu, H. Mokhtar, and M. Merabti, "A survey on Fault Management in wireless sensor network," in Proceedings of the 8th Annual PostGraduate Symposium on The Convergence of Telecommunications, Networking and Broadcasting Liverpool, UK, 2007. [4] L. B. Ruiz, I. G.Siqueira, L. B. Oliveira, H. C. Wong, J. M. S. Nogueira, and A. A. F. Loureiro, "Fault management in event-driven wireless sensor networks," in MSWiM’04 Italy,2004. [5] M. Asim, H. Mokhtar, and M. Merabti, "A cellular approach to fault detection and recovery in wireless sensor networks," in The Third International Conference on Sensor Technologies and Applications, SENSORCOMM 2009 Greece, 2009. [6] N. Ramanathan, K. Chang, E. Kohler, and D. Estrin, "Sympathy for the Sensor Network Debugger," in Proceedings of 3rd ACM Conference on Embedded Networked Sensor Systems (SenSys ’05), San Diego, California, 2005, pp. 255-267. [7] J. Staddon, D. Balfanz, and G. Durfee, "Efficient Tracing of Failed Nodes in Sensor Networks," in First ACM International Workshop on Wireless Sensor Networks and Applications USA, 2002. [8] W. L. Lee, A. Datta, and R. Cardell-Oliver, "Network Management in Wireless Sensor Networks," in Handbook of Mobile Ad Hoc and Pervasive Communications: American Scientific Publishers, 2006. [9] M. Ding, D. Chen, K. Xing, and X. Cheng, "Localized fault-tolerant event boundary detection in sensor networks," in Proceedings of the 24th Annual Joint Conference of the IEEE Computer and Communications Societies (INFOCOM '05). vol. 2 USA, 2005, pp. 902- 913. [10] J. Chen, S. Kher, and A. K. Somani, "Distributed Fault Detection of Wireless Sensor Networks," in Proceedings of DIWANS 06, 2006. [11] S. Marti, T. J. Giuli, K.Lai, and M. Baker, "Mitigating routing misbehaviour in mobile ad hoc networks," in ACM Mobicom, 2000, pp. 255-265. [12] F. Koushanfar, M. Potkonjak, and A. SangiovanniVincentelli, "Fault tolerance techniques in wireless ad-hoc sensor networks," UC Berkeley technical reports 2002. [13] A. R. S Harte, K M Razeeb, "Fault Tolerance In Sensor Networks using Self-Diagnosing Sensor Nodes."
  • 33. [14] M. L. Chihfan Hsin, "Self-monitoring of Wireless Sensor Networks," Computer Communications, vol. 29, pp. 462-478, 2005. [15] W. L. Lee, A. Datta, and R. Cardell-Oliver, "WinMS: Wireless Sensor Network- Management System, An Adaptive Policy-Based Management for Wireless Sensor Networks," School of Computer Science and Software Engineering, The University of Western Australia, Technical Report UWA-CSSE-06-01, 2006. [16] J. Chen, S. Kher, and A. Somani, "Distributed Fault Detection of Wireless Sensor Networks," in DIWANS'06 USA, 2006. [17] F. Koushanfar, M. Potkonjak, and A. Sangiovanni-Vincentelli, "Fault Tolerance in Wireless Adhoc Sensor Networks," in Proceedings of IEEE Sensors, 2002. [18] T. Clouqueur, K.Saluja, and P. Ramanathan, "Fault Tolerance in Collaborative Sensor Networks for Target Detection," in IEEE Transactions on Computers, 2004, pp. 320- 333. [19] G. Gupta and M. Younis, "Fault-Tolerant Clustering of Wireless Sensor Networks," in Proceedings of the IEEE WCNC 2003 New Orleans, Louisiana, 2003. [20] K. F. Ssu, C. H. Chou, H. C. Jiau, and W. T. Hu, "Detection and Diagnosis of data inconsistency failures in wireless sensor networks," in Computer Networks, 2006, pp. 1247- 1260. [21] G. Riley, "The Georgia Tech Network Simulator," in ACM SIGCOMM Workshop on Models, Methods and Tools for Reproducible Network Research Karlsruhe, Germany, 2003. [22] G. Gupta and M. Younis, "Load-Balanced Clustering in Wireless Sensor Networks," in Proceedings of International Conference on Communication (ICC 2003) Anchorage, AK, 2003. [23] G. Venkataraman, S. Emmanuel, and S.Thambipillai, "Energy-efficient cluster-based scheme for failure management in sensor networks," in IET Communications. vol. 2, 2008, pp. 528-537. [24] J. L. Chen, H. F. Lu, and C. A. Lee, "Autonomic self-organization architecture for wireless sensor communications," International Journal of Network Management, vol. 17, pp.197-208, 2007.