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International Journal of Advanced Research in Engineering and Technology (IJARET), ISSN 0976 –
6480(Print), ISSN 0976 – 6499(Online) Volume 5, Issue 10, October (2014), pp. 151-156 © IAEME
151
STRONG ROUT SELECTION IN AODV USING RSS
THROUGH CLD
Mazher khan1
, Dr. Sayyad Ajij. D2
Electronics and communication Department, Marathwada Institute of Technology
Beed by pass, Aurangabad
ABSTRACT
Layered architectures in OSI models are not flexible enough to cope with the dynamics of
wireless dominated next generation communications. Cross-layer architectures may provide a more
flexible solution: breaks the traditional structure by allowing interactions between two or more non-
adjacent layers this is called as cross layer design. This paper shows implementation of cross layered
designed in MANET Through AODV Routing Protocol Using Received Signal Strength From
Physical Layer for selecting strong rout in a network. As A result of this Improvement in Throughput
of system.
Keywords: MANET, AODV, CLD, RSS.
1. INTRODUCTION
1.1. What is Cross-Layer Networking?
Designs of communication systems are generally based on logical layers, the so-called
protocol layers. One major goal has been to achieve maximum independence: Any one layer should
not have to know about the internal details of other layers, similar to the principles of object-oriented
software design. The layers have a well defined interface to the “outside world” but their internal
implementation is shielded. While the layering paradigm has had tremendous success for
implementing and managing e.g. the wired Internet, the model is not necessarily the best for
networks employing wireless communication and access. Hence, it is proposed to work on co-
optimized designs across protocol layers, from now on referred to as cross layer designs. Cross layer
design (CLD) touches not just communications and networking, but is also intimately connected to
concepts related to communications architecture [19]
. Layered architectures have served to make the
protocol design activity systematic and modular. Potential performance gains can always motivate a
designer to not follow the layered architectures and do cross-layer design.
INTERNATIONAL JOURNAL OF ADVANCED RESEARCH IN ENGINEERING
AND TECHNOLOGY (IJARET)
ISSN 0976 - 6480 (Print)
ISSN 0976 - 6499 (Online)
Volume 5, Issue 10, October (2014), pp. 151-156
© IAEME: www.iaeme.com/ IJARET.asp
Journal Impact Factor (2014): 7.8273 (Calculated by GISI)
www.jifactor.com
IJARET
© I A E M E
International Journal of Advanced Research in Engineering and Technology (IJARET), ISSN 0976 –
6480(Print), ISSN 0976 – 6499(Online) Volume 5, Issue 10, October (2014), pp. 151-156 © IAEME
152
1.2 The importance of architecture
Architecture in system design pertains to breaking down a system into modular components,
and systematically specifying the interactions between the components. The importance of
architecture is difficult to overemphasize. Modularity provides the abstractions necessary for
designers to understand the overall system. It accelerates development of both design and
implementation by enabling parallelization of effort. Designers can focus their effort on a particular
subsystem with the assurance that the entire system will interoperate.
Application Layer
Presentation Layer
Session Layer
Transport Layer
Network Layer
Data Link Layer
Physical Layer(PHY)
Fig.1: OSI model
1.3 Architectural considerations for wireless networks
The success of the layered architecture for wired networks has had just such a great impact
on network design paradigms. It has become the default architecture for designing wireless networks
as well. However, it is not at all obvious that this architecture is a priori appropriate for wireless
networks. The reason all this needs re-examination is because the wireless medium allows modalities
of communication that are simply nonexistent for wired networks. Therefore it is necessary to re-
examine from scratch the whole architectural basis for wireless networks. This will allow to
understand where layering stands.
1.4. Why Cross-Layering?
Cross-layer design can therefore play an important role for the next generation wireless
systems, featured by all IP-based protocol stack, heterogeneous access networks, and multimedia
data traffic. We can look at the motivation for cross layering in communications in two ways, from a
general communications viewpoint and then from a more targeted wireless viewpoint.
2. EXISTING CROSS-LAYER ARCHITECTURES
Research on cross-layer networking is still at a very early stage, and no consensus exists on a
generic cross layer infrastructure or architecture. However, the importance of a good and sound
architecture to handle the proliferation of cross-layer operations in wireless as well other
communications media is clear, especially in autonomic systems for which properties need to be
specified and maintained with minimal manual configuration and intervention. A number of
proposals for cross layer designs and their corresponding architectures have been published in the
literature. Most of these proposals are based on one of basic categories mentioned . In this paper we
are interested in looking at cross-layering architectures in terms of how and from where they gather
different cross-layer and optimization related information. The possible candidates are: (i)
Architectures based on local information and (ii) Architectures based on local and global information
(from a single node, its different layers, and the states of its neighbors).
International Journal of Advanced Research in Engineering and Technology (IJARET), ISSN 0976 –
6480(Print), ISSN 0976 – 6499(Online) Volume 5, Issue 10, October (2014), pp. 151-156 © IAEME
153
Fig.2: Different Cross layer Design
3. IMPLEMENTATION OF CROSS LAYERED DESIGN
Fig.3: Cross Layer Design between Network and Physical Layer
3.1 AODV Protocol Design
AODV implementation is based on a recent draft of the AODV specification.
All the essential functionality of AODV including:
⋅ RREQ and RREP messages (for route discovery)
⋅ RERR messages, HELLO messages, and precursor lists (for route maintenance)
⋅ Sequence numbers
⋅ Hop counts
⋅ Expanding ring search
Some functionality described in the specification has been omitted, such as Gratuitous
RREP messages, RREP acknowledgements, and multicast support, because they are either not
essential to the algorithm, or inapplicable given our network model.
Fig.4: Route Discovery in AODV
International Journal of Advanced Research in Engineering and Technology (IJARET), ISSN 0976 –
6480(Print), ISSN 0976 – 6499(Online) Volume 5, Issue 10, October (2014), pp. 151-156 © IAEME
154
3.2. Strong rout selection in AODV Using RSS
Fig.5: strong rout selection process.
4. SIMULATION AND RESULTS
4.1. Simulation setup
PARAMETERVALUE
Terrain Dimension1500* 1500 meters
Temperature290 K
Number of Nodes10
Simulation Time105seconds
Frequency2.4 GHz
Noise Factor10
Mobility ModelRandom Waypoint
Propagation ModelStatistical
Path Loss ModelFree Space/Two Ray
Shadowing ModelNone/constant/Lognormal
Fading ModelNone
MAC Protocol802.11
Network ProtocolIPv4
Routing ProtocolAODV
International Journal of Advanced Research in Engineering and Technology (IJARET), ISSN 0976
6480(Print), ISSN 0976 – 6499(Online) Volume 5, Issue 10, October (2014), pp.
4.2. Simulation Results
In first iteration 16 nodes, second iteration 25 nodes
considered as fixed constant distance topology.
Due to selection of strong link using RSS it is observed that in each iteration throughput of
system increases .fig 6 shows comparison
selection of strong rout in AODV
5. CONCLUSION AND FUTURE WORK
The worldwide success of the Internet has led to the domination of the layered
but a strict layered design is not flexible enough to cope with the dynamics of next
communications which will be dominated by wireless. Careful exploitation of some cross
protocol interactions can lead to more efficient perf
better application layer performances) in different wireless networking scenarios.
In this paper shows implementation of cross layered designed
Routing Protocol Using Received Signal Stren
network.
In future CLD will b use to optimize wireless characteristics parameters, like Throughput. So
using CLD, speed, Capacity will increase. Further develop an efficient path metric that takes into
account the current state of the channel and the quality of the link and to explore opportunistic
routing strategies that a cross layer approach can make possible.
REFERENCES
[1] Frank Aune, “Cross-Layer Design Tutorial
Technology, Norway, 26.11.2004.
[2] James F. Kurose and Keith W. Ross, “
Featuring the Internet”, Pearson Education, Inc., Third Edition, 2006.
[3] Kaustubh S. Phanse, “Policy
Networks”, Virginia Polytechnic Institute and State University, 2003.
[4] M.A. Haleem and R. Chandramouli,
Cross Layer Design” IEEE Journal on Selected Areas in Communications, vol. 23, No. 6,
pp. 1287 – 1297, June 2005.
[5] Mihaela van der Schaar and Murat Tekalp, “Integrated multi
optimization for wireless multimedia transmission”, 0
2005.
International Journal of Advanced Research in Engineering and Technology (IJARET), ISSN 0976
6499(Online) Volume 5, Issue 10, October (2014), pp. 1
155
In first iteration 16 nodes, second iteration 25 nodes, third 36 and in fourth iteration 49 are
considered as fixed constant distance topology.
Due to selection of strong link using RSS it is observed that in each iteration throughput of
comparison of throghput without CLD and wi
protocol using RSS improves the throughput of system.
Fig.6: Simulation Result
5. CONCLUSION AND FUTURE WORK
The worldwide success of the Internet has led to the domination of the layered
but a strict layered design is not flexible enough to cope with the dynamics of next
communications which will be dominated by wireless. Careful exploitation of some cross
protocol interactions can lead to more efficient performance of the transmission stack (and
better application layer performances) in different wireless networking scenarios.
In this paper shows implementation of cross layered designed in MANET Through AODV
Routing Protocol Using Received Signal Strength From Physical Layer for selecting
In future CLD will b use to optimize wireless characteristics parameters, like Throughput. So
using CLD, speed, Capacity will increase. Further develop an efficient path metric that takes into
account the current state of the channel and the quality of the link and to explore opportunistic
routing strategies that a cross layer approach can make possible.
Layer Design Tutorial”, Norwegian University of Science
Technology, Norway, 26.11.2004.
James F. Kurose and Keith W. Ross, “Computer Networking A Top
”, Pearson Education, Inc., Third Edition, 2006.
Policy-Based Quality of Service Management in
”, Virginia Polytechnic Institute and State University, 2003.
.A. Haleem and R. Chandramouli, “Adaptive Downlink Scheduling and Rate Selection: A
Cross Layer Design” IEEE Journal on Selected Areas in Communications, vol. 23, No. 6,
June 2005.
Mihaela van der Schaar and Murat Tekalp, “Integrated multi
optimization for wireless multimedia transmission”, 0-7803-8834-8/05, IEEE, pp. 3543
International Journal of Advanced Research in Engineering and Technology (IJARET), ISSN 0976 –
51-156 © IAEME
, third 36 and in fourth iteration 49 are
Due to selection of strong link using RSS it is observed that in each iteration throughput of
of throghput without CLD and with CLD. Hence by the
RSS improves the throughput of system.
The worldwide success of the Internet has led to the domination of the layered architecture,
but a strict layered design is not flexible enough to cope with the dynamics of next-generation
communications which will be dominated by wireless. Careful exploitation of some cross-layer
ormance of the transmission stack (and hence
better application layer performances) in different wireless networking scenarios.
in MANET Through AODV
selecting strong rout in a
In future CLD will b use to optimize wireless characteristics parameters, like Throughput. So
using CLD, speed, Capacity will increase. Further develop an efficient path metric that takes into
account the current state of the channel and the quality of the link and to explore opportunistic
”, Norwegian University of Science and
Computer Networking A Top-Down Approach
Based Quality of Service Management in Wireless Ad Hoc
“Adaptive Downlink Scheduling and Rate Selection: A
Cross Layer Design” IEEE Journal on Selected Areas in Communications, vol. 23, No. 6,
Mihaela van der Schaar and Murat Tekalp, “Integrated multi-objective cross-layer
8/05, IEEE, pp. 3543-3546,
International Journal of Advanced Research in Engineering and Technology (IJARET), ISSN 0976 –
6480(Print), ISSN 0976 – 6499(Online) Volume 5, Issue 10, October (2014), pp. 151-156 © IAEME
156
[6] Mohammed Tarique, Kemal E. Tepe and Mohammad Naserian, “A Cross-Layer Design for
Passive Forwarding Node Selection in Wireless Ad Hoc Networks”, 2005 International
Conference on Wireless Networks, Communications and Mobile Computing, 0-7803-9305-
8/05, IEEE, pp. 802-807, 2005.
[7] Peter Alzén, “Multi-cell Performance of IEEE 802.11a Wireless LANs”, Luleå University of
Technology, 2004.
[8] S. Shakkottai, T. S. Rappaport, and P. C. Karlsson, “Cross-Layer Design for Wireless
Networks,” IEEE Communications Magazine, vol. 41, no. 10, pp. 74–80, Oct. 2003.
[9] V. Kawadia and P. R. Kumar, “A Cautionary Perspective on Cross Layer Design” IEEE
Wireless Communications Magazine, vol. 12, no. 1, pp.3 – 11, Feb. 2005.
[10] V. Srivastava and M. Motani, "Cross-Layer Design: A Survey and the Road Ahead, "IEEE
Comm. Mag., pp. 112 – 119, Dec. 2005.
[11] Wing Ho Yuen, Heung-no Lee and Timothy D. Andersen, “A Simple and Effective Cross
Layer Networking System for Mobile Ad hoc Networks”, 0-7803-7589-0/02, IEEE,
pp. 1952-1956, 2002.
[12] Yin Min, Tang Yao and Yu Quan, “Cross- Layer Ideas in Wireless Network Designs”, 2005
IEEE International Symposium on Microwave, Antenna, Propagation and EMC Technologies
for Wireless Communications Proceedings, O-7803-9128-4/05, IEEE, pp. 891-894, 2005.
[13] William Stallings, “Data and Computer Communications”, Sixth Edition, Pearson Education
Inc., 2002.
[14] V. Srivastava and M. Motani, Cross-layer design: A survey and the road ahead, IEEE
Communications Magazine, Vol. 43, No. 12, pp. 112–119, Dec. 2005.
[15] Chandramouli.H, Dr. Somashekhar C Desai, K S Jagadeesh and Kashyap D Dhruve,
“Elephant Swarm Optimization for Wireless Sensor Networks –A Cross Layer Mechanism”,
International Journal of Computer Engineering & Technology (IJCET), Volume 4, Issue 2,
2013, pp. 45 - 60, ISSN Print: 0976 – 6367, ISSN Online: 0976 – 6375.
[16] P.Saravanaselvi and Dr.P.Latha, “Design and Analysis of Wimax Physical Layer”,
International Journal of Electronics and Communication Engineering & Technology
(IJECET), Volume 3, Issue 3, 2012, pp. 280 - 286, ISSN Print: 0976- 6464, ISSN Online:
0976 –6472.
[17] Sunita Kushwaha, Bhavna Narain, Deepti Verma and Sanjay kumar, “Effect of Scenario
Environment on the Performance of Manets Routing Protocol: AODV”, International Journal
of Computer Engineering & Technology (IJCET), Volume 2, Issue 1, 2011, pp. 33 - 38,
ISSN Print: 0976 – 6367, ISSN Online: 0976 – 6375.

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Strong rout selection in aodv using rss through cld

  • 1. International Journal of Advanced Research in Engineering and Technology (IJARET), ISSN 0976 – 6480(Print), ISSN 0976 – 6499(Online) Volume 5, Issue 10, October (2014), pp. 151-156 © IAEME 151 STRONG ROUT SELECTION IN AODV USING RSS THROUGH CLD Mazher khan1 , Dr. Sayyad Ajij. D2 Electronics and communication Department, Marathwada Institute of Technology Beed by pass, Aurangabad ABSTRACT Layered architectures in OSI models are not flexible enough to cope with the dynamics of wireless dominated next generation communications. Cross-layer architectures may provide a more flexible solution: breaks the traditional structure by allowing interactions between two or more non- adjacent layers this is called as cross layer design. This paper shows implementation of cross layered designed in MANET Through AODV Routing Protocol Using Received Signal Strength From Physical Layer for selecting strong rout in a network. As A result of this Improvement in Throughput of system. Keywords: MANET, AODV, CLD, RSS. 1. INTRODUCTION 1.1. What is Cross-Layer Networking? Designs of communication systems are generally based on logical layers, the so-called protocol layers. One major goal has been to achieve maximum independence: Any one layer should not have to know about the internal details of other layers, similar to the principles of object-oriented software design. The layers have a well defined interface to the “outside world” but their internal implementation is shielded. While the layering paradigm has had tremendous success for implementing and managing e.g. the wired Internet, the model is not necessarily the best for networks employing wireless communication and access. Hence, it is proposed to work on co- optimized designs across protocol layers, from now on referred to as cross layer designs. Cross layer design (CLD) touches not just communications and networking, but is also intimately connected to concepts related to communications architecture [19] . Layered architectures have served to make the protocol design activity systematic and modular. Potential performance gains can always motivate a designer to not follow the layered architectures and do cross-layer design. INTERNATIONAL JOURNAL OF ADVANCED RESEARCH IN ENGINEERING AND TECHNOLOGY (IJARET) ISSN 0976 - 6480 (Print) ISSN 0976 - 6499 (Online) Volume 5, Issue 10, October (2014), pp. 151-156 © IAEME: www.iaeme.com/ IJARET.asp Journal Impact Factor (2014): 7.8273 (Calculated by GISI) www.jifactor.com IJARET © I A E M E
  • 2. International Journal of Advanced Research in Engineering and Technology (IJARET), ISSN 0976 – 6480(Print), ISSN 0976 – 6499(Online) Volume 5, Issue 10, October (2014), pp. 151-156 © IAEME 152 1.2 The importance of architecture Architecture in system design pertains to breaking down a system into modular components, and systematically specifying the interactions between the components. The importance of architecture is difficult to overemphasize. Modularity provides the abstractions necessary for designers to understand the overall system. It accelerates development of both design and implementation by enabling parallelization of effort. Designers can focus their effort on a particular subsystem with the assurance that the entire system will interoperate. Application Layer Presentation Layer Session Layer Transport Layer Network Layer Data Link Layer Physical Layer(PHY) Fig.1: OSI model 1.3 Architectural considerations for wireless networks The success of the layered architecture for wired networks has had just such a great impact on network design paradigms. It has become the default architecture for designing wireless networks as well. However, it is not at all obvious that this architecture is a priori appropriate for wireless networks. The reason all this needs re-examination is because the wireless medium allows modalities of communication that are simply nonexistent for wired networks. Therefore it is necessary to re- examine from scratch the whole architectural basis for wireless networks. This will allow to understand where layering stands. 1.4. Why Cross-Layering? Cross-layer design can therefore play an important role for the next generation wireless systems, featured by all IP-based protocol stack, heterogeneous access networks, and multimedia data traffic. We can look at the motivation for cross layering in communications in two ways, from a general communications viewpoint and then from a more targeted wireless viewpoint. 2. EXISTING CROSS-LAYER ARCHITECTURES Research on cross-layer networking is still at a very early stage, and no consensus exists on a generic cross layer infrastructure or architecture. However, the importance of a good and sound architecture to handle the proliferation of cross-layer operations in wireless as well other communications media is clear, especially in autonomic systems for which properties need to be specified and maintained with minimal manual configuration and intervention. A number of proposals for cross layer designs and their corresponding architectures have been published in the literature. Most of these proposals are based on one of basic categories mentioned . In this paper we are interested in looking at cross-layering architectures in terms of how and from where they gather different cross-layer and optimization related information. The possible candidates are: (i) Architectures based on local information and (ii) Architectures based on local and global information (from a single node, its different layers, and the states of its neighbors).
  • 3. International Journal of Advanced Research in Engineering and Technology (IJARET), ISSN 0976 – 6480(Print), ISSN 0976 – 6499(Online) Volume 5, Issue 10, October (2014), pp. 151-156 © IAEME 153 Fig.2: Different Cross layer Design 3. IMPLEMENTATION OF CROSS LAYERED DESIGN Fig.3: Cross Layer Design between Network and Physical Layer 3.1 AODV Protocol Design AODV implementation is based on a recent draft of the AODV specification. All the essential functionality of AODV including: ⋅ RREQ and RREP messages (for route discovery) ⋅ RERR messages, HELLO messages, and precursor lists (for route maintenance) ⋅ Sequence numbers ⋅ Hop counts ⋅ Expanding ring search Some functionality described in the specification has been omitted, such as Gratuitous RREP messages, RREP acknowledgements, and multicast support, because they are either not essential to the algorithm, or inapplicable given our network model. Fig.4: Route Discovery in AODV
  • 4. International Journal of Advanced Research in Engineering and Technology (IJARET), ISSN 0976 – 6480(Print), ISSN 0976 – 6499(Online) Volume 5, Issue 10, October (2014), pp. 151-156 © IAEME 154 3.2. Strong rout selection in AODV Using RSS Fig.5: strong rout selection process. 4. SIMULATION AND RESULTS 4.1. Simulation setup PARAMETERVALUE Terrain Dimension1500* 1500 meters Temperature290 K Number of Nodes10 Simulation Time105seconds Frequency2.4 GHz Noise Factor10 Mobility ModelRandom Waypoint Propagation ModelStatistical Path Loss ModelFree Space/Two Ray Shadowing ModelNone/constant/Lognormal Fading ModelNone MAC Protocol802.11 Network ProtocolIPv4 Routing ProtocolAODV
  • 5. International Journal of Advanced Research in Engineering and Technology (IJARET), ISSN 0976 6480(Print), ISSN 0976 – 6499(Online) Volume 5, Issue 10, October (2014), pp. 4.2. Simulation Results In first iteration 16 nodes, second iteration 25 nodes considered as fixed constant distance topology. Due to selection of strong link using RSS it is observed that in each iteration throughput of system increases .fig 6 shows comparison selection of strong rout in AODV 5. CONCLUSION AND FUTURE WORK The worldwide success of the Internet has led to the domination of the layered but a strict layered design is not flexible enough to cope with the dynamics of next communications which will be dominated by wireless. Careful exploitation of some cross protocol interactions can lead to more efficient perf better application layer performances) in different wireless networking scenarios. In this paper shows implementation of cross layered designed Routing Protocol Using Received Signal Stren network. In future CLD will b use to optimize wireless characteristics parameters, like Throughput. So using CLD, speed, Capacity will increase. Further develop an efficient path metric that takes into account the current state of the channel and the quality of the link and to explore opportunistic routing strategies that a cross layer approach can make possible. REFERENCES [1] Frank Aune, “Cross-Layer Design Tutorial Technology, Norway, 26.11.2004. [2] James F. Kurose and Keith W. Ross, “ Featuring the Internet”, Pearson Education, Inc., Third Edition, 2006. [3] Kaustubh S. Phanse, “Policy Networks”, Virginia Polytechnic Institute and State University, 2003. [4] M.A. Haleem and R. Chandramouli, Cross Layer Design” IEEE Journal on Selected Areas in Communications, vol. 23, No. 6, pp. 1287 – 1297, June 2005. [5] Mihaela van der Schaar and Murat Tekalp, “Integrated multi optimization for wireless multimedia transmission”, 0 2005. International Journal of Advanced Research in Engineering and Technology (IJARET), ISSN 0976 6499(Online) Volume 5, Issue 10, October (2014), pp. 1 155 In first iteration 16 nodes, second iteration 25 nodes, third 36 and in fourth iteration 49 are considered as fixed constant distance topology. Due to selection of strong link using RSS it is observed that in each iteration throughput of comparison of throghput without CLD and wi protocol using RSS improves the throughput of system. Fig.6: Simulation Result 5. CONCLUSION AND FUTURE WORK The worldwide success of the Internet has led to the domination of the layered but a strict layered design is not flexible enough to cope with the dynamics of next communications which will be dominated by wireless. Careful exploitation of some cross protocol interactions can lead to more efficient performance of the transmission stack (and better application layer performances) in different wireless networking scenarios. In this paper shows implementation of cross layered designed in MANET Through AODV Routing Protocol Using Received Signal Strength From Physical Layer for selecting In future CLD will b use to optimize wireless characteristics parameters, like Throughput. So using CLD, speed, Capacity will increase. Further develop an efficient path metric that takes into account the current state of the channel and the quality of the link and to explore opportunistic routing strategies that a cross layer approach can make possible. Layer Design Tutorial”, Norwegian University of Science Technology, Norway, 26.11.2004. James F. Kurose and Keith W. Ross, “Computer Networking A Top ”, Pearson Education, Inc., Third Edition, 2006. Policy-Based Quality of Service Management in ”, Virginia Polytechnic Institute and State University, 2003. .A. Haleem and R. Chandramouli, “Adaptive Downlink Scheduling and Rate Selection: A Cross Layer Design” IEEE Journal on Selected Areas in Communications, vol. 23, No. 6, June 2005. Mihaela van der Schaar and Murat Tekalp, “Integrated multi optimization for wireless multimedia transmission”, 0-7803-8834-8/05, IEEE, pp. 3543 International Journal of Advanced Research in Engineering and Technology (IJARET), ISSN 0976 – 51-156 © IAEME , third 36 and in fourth iteration 49 are Due to selection of strong link using RSS it is observed that in each iteration throughput of of throghput without CLD and with CLD. Hence by the RSS improves the throughput of system. The worldwide success of the Internet has led to the domination of the layered architecture, but a strict layered design is not flexible enough to cope with the dynamics of next-generation communications which will be dominated by wireless. Careful exploitation of some cross-layer ormance of the transmission stack (and hence better application layer performances) in different wireless networking scenarios. in MANET Through AODV selecting strong rout in a In future CLD will b use to optimize wireless characteristics parameters, like Throughput. So using CLD, speed, Capacity will increase. Further develop an efficient path metric that takes into account the current state of the channel and the quality of the link and to explore opportunistic ”, Norwegian University of Science and Computer Networking A Top-Down Approach Based Quality of Service Management in Wireless Ad Hoc “Adaptive Downlink Scheduling and Rate Selection: A Cross Layer Design” IEEE Journal on Selected Areas in Communications, vol. 23, No. 6, Mihaela van der Schaar and Murat Tekalp, “Integrated multi-objective cross-layer 8/05, IEEE, pp. 3543-3546,
  • 6. International Journal of Advanced Research in Engineering and Technology (IJARET), ISSN 0976 – 6480(Print), ISSN 0976 – 6499(Online) Volume 5, Issue 10, October (2014), pp. 151-156 © IAEME 156 [6] Mohammed Tarique, Kemal E. Tepe and Mohammad Naserian, “A Cross-Layer Design for Passive Forwarding Node Selection in Wireless Ad Hoc Networks”, 2005 International Conference on Wireless Networks, Communications and Mobile Computing, 0-7803-9305- 8/05, IEEE, pp. 802-807, 2005. [7] Peter Alzén, “Multi-cell Performance of IEEE 802.11a Wireless LANs”, Luleå University of Technology, 2004. [8] S. Shakkottai, T. S. Rappaport, and P. C. Karlsson, “Cross-Layer Design for Wireless Networks,” IEEE Communications Magazine, vol. 41, no. 10, pp. 74–80, Oct. 2003. [9] V. Kawadia and P. R. Kumar, “A Cautionary Perspective on Cross Layer Design” IEEE Wireless Communications Magazine, vol. 12, no. 1, pp.3 – 11, Feb. 2005. [10] V. Srivastava and M. Motani, "Cross-Layer Design: A Survey and the Road Ahead, "IEEE Comm. Mag., pp. 112 – 119, Dec. 2005. [11] Wing Ho Yuen, Heung-no Lee and Timothy D. Andersen, “A Simple and Effective Cross Layer Networking System for Mobile Ad hoc Networks”, 0-7803-7589-0/02, IEEE, pp. 1952-1956, 2002. [12] Yin Min, Tang Yao and Yu Quan, “Cross- Layer Ideas in Wireless Network Designs”, 2005 IEEE International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications Proceedings, O-7803-9128-4/05, IEEE, pp. 891-894, 2005. [13] William Stallings, “Data and Computer Communications”, Sixth Edition, Pearson Education Inc., 2002. [14] V. Srivastava and M. Motani, Cross-layer design: A survey and the road ahead, IEEE Communications Magazine, Vol. 43, No. 12, pp. 112–119, Dec. 2005. [15] Chandramouli.H, Dr. Somashekhar C Desai, K S Jagadeesh and Kashyap D Dhruve, “Elephant Swarm Optimization for Wireless Sensor Networks –A Cross Layer Mechanism”, International Journal of Computer Engineering & Technology (IJCET), Volume 4, Issue 2, 2013, pp. 45 - 60, ISSN Print: 0976 – 6367, ISSN Online: 0976 – 6375. [16] P.Saravanaselvi and Dr.P.Latha, “Design and Analysis of Wimax Physical Layer”, International Journal of Electronics and Communication Engineering & Technology (IJECET), Volume 3, Issue 3, 2012, pp. 280 - 286, ISSN Print: 0976- 6464, ISSN Online: 0976 –6472. [17] Sunita Kushwaha, Bhavna Narain, Deepti Verma and Sanjay kumar, “Effect of Scenario Environment on the Performance of Manets Routing Protocol: AODV”, International Journal of Computer Engineering & Technology (IJCET), Volume 2, Issue 1, 2011, pp. 33 - 38, ISSN Print: 0976 – 6367, ISSN Online: 0976 – 6375.