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International Journal of Advanced
Smart Sensor Network Systems
(IJASSN )
ISSN : 2231 - 4482 [Online] ; 2231 - 5225 [Print]
http://airccse.org/journal/ijassn/ijassn.html
CLUSTERING-BASED ROUTING FOR WIRELESS
SENSOR NETWORKS IN SMART GRID ENVIRONMENT
Laila Nassef 1,2,
Reemah El-Habshi1
and Linta Jose1
1 Department of Computer Science, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah,
Saudi Arabia 2 Department of Computer Sciences and Information, Institute of Statistical Studies and Research, Cairo
University, Egypt
ABSTRACT
Wireless Sensor Networks (WSN) is widely deployed in different fields of applications of smart grid to provide reliable
monitoring and controlling of the electric power grid. The objective of this paper is simulate and analyze impact of
various smart grid environments on performance of four different WSN routing protocols namely the Low Energy
Adaptive Clustering Hierarchy (LEACH) and Centralized LEACH (LEACT-C) as well as other two conventional
protocols namely Minimum Transmission Energy (MTE) and Static Clustering. This analysis would be beneficial in
making the correct choice of WSN routing protocols for various smart grid applications. The performance of the four
protocols is simulated using NS-2 network simulation on Ubuntu. The results are analyzed and compared using number of
data signals received at base station, energy consumption, and network lifetime as performance metrics. The results show
that the performance of various protocols in the smart grid environments have deteriorated due log normal channel
characteristics and consequently network lifetime have decreased significantly. The results also indicate that clustering
based routing protocols have more advantageous over conventional protocols; MTE and static clustering. Also,
centralized clustering approach is more effective as it distributes energy dissipation evenly throughout the sensor nodes
which reduce energy consumption and prolong the networks’ lifetime. This approach is more effective in delivering data
to base station because it has global knowledge of the location and energy of all the nodes in the network.
KEYWORDS
Wireless Sensor Networks; Clustering; Energy Consumption, Network Lifetime.
SOURCE URL
http://airccse.org/journal/ijassn/ijassn.html
VOLUME LINK
http://airccse.org/journal/ijassn/current2018.html
REFERENCES
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Tetouan, Morocco, 20-22 Oct. 2014, DOI: 10.1109/CIST.2014.7016654.
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Wireless Sensor Networks," Applied Computing and Informatics, 07 March 2018,
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Science (DCABES), Hong Kong, China, 10-12 Aug. 2010.
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Most viewed articles - International Journal of Advanced Smart Sensor Network System ( IJASSN )

  • 1. TOP MOST VIEWED ARTICLES International Journal of Advanced Smart Sensor Network Systems (IJASSN ) ISSN : 2231 - 4482 [Online] ; 2231 - 5225 [Print] http://airccse.org/journal/ijassn/ijassn.html
  • 2. CLUSTERING-BASED ROUTING FOR WIRELESS SENSOR NETWORKS IN SMART GRID ENVIRONMENT Laila Nassef 1,2, Reemah El-Habshi1 and Linta Jose1 1 Department of Computer Science, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia 2 Department of Computer Sciences and Information, Institute of Statistical Studies and Research, Cairo University, Egypt ABSTRACT Wireless Sensor Networks (WSN) is widely deployed in different fields of applications of smart grid to provide reliable monitoring and controlling of the electric power grid. The objective of this paper is simulate and analyze impact of various smart grid environments on performance of four different WSN routing protocols namely the Low Energy Adaptive Clustering Hierarchy (LEACH) and Centralized LEACH (LEACT-C) as well as other two conventional protocols namely Minimum Transmission Energy (MTE) and Static Clustering. This analysis would be beneficial in making the correct choice of WSN routing protocols for various smart grid applications. The performance of the four protocols is simulated using NS-2 network simulation on Ubuntu. The results are analyzed and compared using number of data signals received at base station, energy consumption, and network lifetime as performance metrics. The results show that the performance of various protocols in the smart grid environments have deteriorated due log normal channel characteristics and consequently network lifetime have decreased significantly. The results also indicate that clustering based routing protocols have more advantageous over conventional protocols; MTE and static clustering. Also, centralized clustering approach is more effective as it distributes energy dissipation evenly throughout the sensor nodes which reduce energy consumption and prolong the networks’ lifetime. This approach is more effective in delivering data to base station because it has global knowledge of the location and energy of all the nodes in the network. KEYWORDS Wireless Sensor Networks; Clustering; Energy Consumption, Network Lifetime. SOURCE URL http://airccse.org/journal/ijassn/ijassn.html VOLUME LINK http://airccse.org/journal/ijassn/current2018.html
  • 3. REFERENCES [1] E. Fadel, V.C. Gungor, Laila Nassef, Nadine Akkari, M.G. Abbas Malik, Suleiman Almasri and Ian F.Akyildiz, "A Survey on Wireless Sensor Networks For Smart Grid," Computer Communications, Vol.71, pp. 22-33, November 2015, https://doi.org/10.1016/j.comcom.2015.09.006. [2] M. Hammoudeh and R. Newman, "Adaptive routing in wireless sensor networks: QoS optimization for enhanced application performance," Information Fusion, Vol. 22, pp. 03-15, March 2015, https://doi.org/10.1016/j.inffus.2013.02.005. [3] M. R. Mundada, S. Kiran, S. Khobanna, R. N. Varsha and S. A. George, "A STUDY ON ENERGY EFFICIENTA STUDY ON ENERGY EFFICIENT SENSOR NETWORKS," International Journal of Distributed and Parallel Systems (IJDPS), Vol.3, No.3, pp. 311-330, May 2012, DOI :10.5121/ijdps.2012.3326. [4] F. Farazandeh, R. Abrishambaf and S. Uysal, "A Hybrid Energy-Efficient routing protocol for Wireless Sensor Networks," in 11th IEEE International Conference on Industrial Informatics (INDIN), Bochum, Germany, 2013, DOI: 10.1109/INDIN.2013.6622851. [5] P. Yuvaraj and Komanapalli Venkata Lakshmi Narayana, "EESCA: Energy efficient structured International Journal of Advanced Smart Sensor Network Systems (IJASSN), Vol 8, No.1/2/3, July 2018 clustering algorithm for wireless sensor networks," in International Conference on Computing, Analytics and Security Trends (CAST), Pune, India, 19-21 Dec. 2016, DOI:10.1109/CAST.2016.7915024. [6] S. C. Sharma and S. P. Singh, "A Survey on Cluster Based Routing Protocols in Wireless Sensor Networks," Procedia Computer Science, vol. 45, pp. 687-695, 2015, https://doi.org/10.1016/j.procs.2015.03.133. [7] Z. A. Sadouq, M. El Mabrouk and M. Essaaidi, "Conserving Energy in WSN Through Clustering and Power Control," in Third IEEE International Colloquium in Information Science and Technology (CIST), Tetouan, Morocco, 20-22 Oct. 2014, DOI: 10.1109/CIST.2014.7016654. [8] N. Ramluckun and V. Bassoo, "Energy-efficient chain-cluster based intelligent routing technique for Wireless Sensor Networks," Applied Computing and Informatics, 07 March 2018, https://doi.org/10.1016/j.aci.2018.02.004. [9] Pooja and S. Singh, "Improved O-LEACH protocol: A clustering based approach in wireless microsensor network," in 10th International Conference on Intelligent Systems and Control (ISCO), Coimbatore, India, 7- 8 Jan. 2016, DOI: 10.1109/ISCO.2016.7727015. [10] W. B. Heinzelman, "A Component-Based Cross-Layer Framework for Software Defined Wireless Networks," in 8th IFIP International Conference on New Technologies, Mobility and Security (NTMS), Larnaca, Cyprus, 21-23 Nov. 2016, DOI:10.1109/NTMS.2016.7792426. [11] M. Tripathi, M. S. Gaur, V. Laxmi and R. B. Battula, "Energy efficient LEACH-C protocol for Wireless Sensor Network," in CIIT 2013. Third International Conference on Computational Intelligence and Information Technology, Mumbai, India, 18-19 Oct. 2013, DOI:10.1049/cp.2013.2620. [12] L. Nassef, "On the Effects of Fading and Mobility in On Demand Routing Protocols," Egyptian Informatics Journal, Vol.11, pp. 67-74, 2010, http://dx.doi.org/10.1016/j.eij.2010.10.003. [13] B. Pati, J. L. Sarkar and C. R. Panigrahi, "ECS: An Efficient Approach to Select Cluster Head in Wireless Sensor Networks," Arabian Journal for Science and Engineering, VoL. 42, Issue: 2, p. 669–676, February 2017, https://doi.org/10.1007/s13369-016-2304-2. [14] R. D. Gawade and S. L. Nalbalwar, "A Centralized Energy Efficient Distance Based Routing Protocol for Wireless Sensor Networks," Journal of Sensors, Vol. 2016, 2016, http://dx.doi.org/10.1155/2016/8313986. [15] I. Sharma, R. Singh and M. Khurana, "Comparative study of LEACH, LEACH-C and PEGASIS routing protocols for wireless sensor network," in International Conference on Advances in ComputerEngineering
  • 4. and Applications (ICACEA), Ghaziabad, India, 19-20 March 2015, DOI:10.1109/ICACEA.2015.7164821. [16] V. Geetha, P. V. Kallapur and S. Tellajeera, "Clustering in Wireless Sensor Networks: Performance Comparison of LEACH & LEACH-C Protocols Using NS2," Procedia Technology, Vol. 4, pp. 163-170, 2012, https://doi.org/10.1016/j.protcy.2012.05.024. [17] W. Xinhua and W. Sheng, "Performance comparison of LEACH and LEACH-C protocols by NS2," in Ninth International Symposium on Distributed Computing and Applications to Business Engineering and Science (DCABES), Hong Kong, China, 10-12 Aug. 2010. [18] "http://www.isi.edu/nsnam/ns/," The network simulator ns-2. [Online].