An Enhanced PSO-Based Clustering Energy Optimization Algorithm for Wireless Sensor Network

Wireless Sensor Network (WSN) is a network which formed with a maximum number of sensor nodes which are positioned in an application environment to monitor the physical entities in a target area, for example, temperature monitoring environment, water level, monitoring pressure, and health care, and various military applications. Mostly sensor nodes are equipped with self-supported battery power through which they can perform adequate operations and communication among neighboring nodes. Maximizing the lifetime of the Wireless Sensor networks, energy conservation measures are essential for improving the performance of WSNs. This paper proposes an Enhanced PSO-Based Clustering Energy Optimization (EPSO-CEO) algorithm for Wireless Sensor Network in which clustering and clustering head selection are done by using Particle Swarm Optimization (PSO) algorithm with respect to minimizing the power consumption in WSN. The performance metrics are evaluated and results are compared with competitive clustering algorithm to validate the reduction in energy consumption.

[1]  Riccardo Poli,et al.  Particle swarm optimization , 1995, Swarm Intelligence.

[2]  Edward J. Coyle,et al.  An energy efficient hierarchical clustering algorithm for wireless sensor networks , 2003, IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428).

[3]  Ossama Younis,et al.  HEED: a hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks , 2004, IEEE Transactions on Mobile Computing.

[4]  Jangkyu Yun,et al.  A clustering method for energy efficient routing in wireless sensor networks , 2007 .

[5]  Ganesh K. Venayagamoorthy,et al.  Particle Swarm Optimization in Wireless-Sensor Networks: A Brief Survey , 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[6]  Feng Xia,et al.  An Energy Efficient Stable Election-Based Routing Algorithm for Wireless Sensor Networks , 2013, Sensors.

[7]  Anand Nayyar,et al.  A Comprehensive Review of Cluster-Based Energy Efficient Routing Protocols in Wireless Sensor Networks , 2014 .

[8]  Byoungchul Ahn,et al.  An Energy-Efficient Data Collection Method for Wireless Multimedia Sensor Networks , 2014, Int. J. Distributed Sens. Networks.

[9]  M. Madheswaran,et al.  A Hybrid Optimized Weighted Minimum Spanning Tree for the Shortest Intrapath Selection in Wireless Sensor Network , 2014 .

[10]  Takahiro Hara,et al.  A survey on communication and data management issues in mobile sensor networks , 2014, Wirel. Commun. Mob. Comput..

[11]  Wendi Heinzelman,et al.  Energy-efficient communication protocol for wireless microsensor networks , 2000, Proceedings of the 33rd Annual Hawaii International Conference on System Sciences.

[12]  Davinder S. Saini,et al.  Lifetime Optimization of a Multiple Sink Wireless Sensor Network through Energy Balancing , 2015, J. Sensors.

[13]  Shanmugasundaram Thilagavathi,et al.  Energy Aware Swarm Optimization with Intercluster Search for Wireless Sensor Network , 2015, TheScientificWorldJournal.

[14]  B. S. Daya Sagar,et al.  Particle Swarm Optimization and Voronoi diagram for Wireless Sensor Networks coverage optimization , 2007, 2007 International Conference on Intelligent and Advanced Systems.

[15]  Aloor Gopakumar,et al.  Localization in wireless sensor networks using particle swarm optimization , 2008 .

[16]  D. K. Lobiyal,et al.  A novel energy-aware cluster head selection based on particle swarm optimization for wireless sensor networks , 2012, Human-centric Computing and Information Sciences.

[17]  Hevin Rajesh Dhasian,et al.  Survey of data aggregation techniques using soft computing in wireless sensor networks , 2013 .

[18]  I-Tai Lu,et al.  Energy Balance Routing Algorithm Based on Virtual MIMO Scheme for Wireless Sensor Networks , 2014, J. Sensors.

[19]  Sungyoung Lee,et al.  Energy-Efficient Deployment of Mobile Sensor Networks by PSO , 2006, APWeb Workshops.

[20]  Mohamed F. Younis,et al.  Topology management techniques for tolerating node failures in wireless sensor networks: A survey , 2014, Comput. Networks.

[21]  Tinghuai Ma,et al.  An Energy-efficient Competitive Clustering Algorithm for Wireless Sensor Networks using Mobile Sink , 2012 .

[22]  R. Vidhyapriya,et al.  Energy Efficient Adaptive Multipath Routing for Wireless Sensor Networks , 2007 .

[23]  Mario Di Francesco,et al.  Energy conservation in wireless sensor networks: A survey , 2009, Ad Hoc Networks.