Hybrid Approach for Energy Optimization in Wireless Sensor Networks Using PSO

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Wireless sensor network (WSN) consists of sensor nodes which are spatially distributed for monitoring physical or environmental applications. In these networks the nodes have power source that is difficult to replace. Hence energy conservation is an important factor in the network in order to prolong the lifetime of the network. In this paper two clustering based algorithms, a heuristic and an evolutionary algorithm for WSN are discussed.  This paper proposes an optimal radius algorithm and hybrid Particle Swarm Optimization (PSO) algorithm for wireless sensor network. These proposed algorithms are involved for proper selection of cluster head to increase the life time of the WSN. The simulation results display that the proposed algorithm extends the life time of the network by reducing the number of dead nodes when compared to basic PSO and LEACH algorithm. It also has better throughput and high residual energy when compared to LEACH and PSO.
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Wireless Sensor Network; Clustering Based Algorithm; Particle Swarm Optimization; Topology

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Swarup Kumar Mitra, Mrinal Kanti Naskar - Comparative Study of Radio Models for data Gathering in Wireless Sensor Network, 2011.

Wendi Rabiner Heinzelman, Anantha Chandrakasan, and Hari Balakrishnan - Energy-Efficient Communication Protocol forWireless Microsensor Networks, 2000.

Nitin Mittal, Davinder Pal Singh, Amanjeet Panghal, R.S. Chauhan - IMPROVED LEACH COMMUNICATION PROTOCOL FOR WSN, 2010.


Wen-ya Zhang, Zi-ze Liang, Zeng-guang Hou and Min Tan - A Power Efficient Routing Protocol for Wireless Sensor Network, 2007.

D.N. Jeyakumar, T. Jayabarathi, T. Raghunathan - Particle swarm optimization for various types of economic dispatch problems, 2004.

Raghavendra V. Kulkarni, and Ganesh Kumar Venayagamoorthy Particle Swarm Optimization in Wireless Sensor Networks: A Brief Survey, 2011.

Gopakumar.A, Lillykutty Jacob – Localisation in wireless sensor networks using Particle Sworm Optimisation, 2008.

Azrina Abd Aziz, Y. Ahmet S¸ekercio˘glu, Paul Fitzpatrick, and Milosh Ivanovich - A Survey on Distributed Topology Control Techniques for Extending the Lifetime of Battery Powered Wireless Sensor Networks, 2013.

V. Loscrì, G. Morabito, S. Marano - A Two-Levels Hierarchy for Low-Energy Adaptive Clustering Hierarchy (TL-LEACH), 2005.

James Kennedy, Russell Eberhart. Particle swarm optimization. Proceedings of IEEE conference on neural networks, Piscataway, NJ, vol. IV, 1998. p. 1942–8.

Eberhart RC, Shi Y. - Particle swarm optimization: developments, applications and resources. Proc Congr Evol Comput, 2001: 1:81–6.

A.Karthikeyan, Arifa Anwar, Rasiya nwar,T.Shankar,V.Srividhya, Selection of cluster Head Using Decentralized Clustering Algorithm for Energy Optimization in Wireless Sensor Networks Based on Social Insect Colonies European Journal of Scientific Research Vol.99 April 2013, PP461-472,

T.Shankar, Dr.S.Shanmugavel Hybrid Approach for Energy Optimization in cluster based wireless sensor networks using Energy balancing clustering protocol in the Journal of Theoretical and Applied Information Technology(JTAIT) “ 31st March 2013. Vol. 49 No.3 .pages 906-921, ISSN: 1992-8645

T. Shankar, S. Shanmugavel, A. Karthikeyan , Akanksha Mohan Gupte, Suryalok Sarkar, Load Balancing and Optimization of Network Lifetime by Use of Double Cluster Head Clustering Algorithm and Its Comparison with Various Extended LEACH Versions, (2013) International Review on Computers and Software (IRECOS), 8 (3), pp. 795-803.


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