Efficient algorithm for prolonging network lifetime of wireless sensor networks

Abstract One of the fundamental design challenges in designing a Wireless Sensor Network (WSN) is to maximize the network lifetime, as each sensor node of the network is equipped with a limited power battery. To overcome this challenge, different methods were developed in the last few years using such techniques as network protocols, data fusion algorithms using low power, energy efficient routing, and locating optimal sink position. This paper focuses on finding the optimal sink position. Relay nodes are introduced in conjunction with the sensor nodes to mitigate network geometric deficiencies since in most other approaches the sensor nodes close to the sink become heavily involved in data forwarding and, thus, their batteries are quickly depleted. A Particle Swarm Optimization (PSO) based algorithm is used to locate the optimal sink position with respect to those relay nodes to make the network more energy efficient. The relay nodes communicate with the sink instead of the sensor nodes. Tests show that this approach can save at least 40% of the energy and prolong the network lifetime.

[1]  Timothy J. Shepard A channel access scheme for large dense packet radio networks , 1996, SIGCOMM 1996.

[2]  Tzung-Pei Hong,et al.  Finding Base-Station Locations in Two-Tiered Wireless Sensor Networks by Particle Swarm Optimization , 2009 .

[3]  Jianping Pan,et al.  Optimal base-station locations in two-tiered wireless sensor networks , 2005, IEEE Transactions on Mobile Computing.

[4]  Tzung-Pei Hong,et al.  Allocating Multiple Base Stations under General Power Consumption by the Particle Swarm Optimization , 2007, 2007 IEEE Swarm Intelligence Symposium.

[5]  Alan F. Murray,et al.  IEEE International Conference on Neural Networks , 1997 .

[6]  Chenyang Lu,et al.  A spatiotemporal communication protocol for wireless sensor networks , 2005, IEEE Transactions on Parallel and Distributed Systems.

[7]  Pejman Khadivi,et al.  Using relay network to increase life time in wireless body area sensor networks , 2009, 2009 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks & Workshops.

[8]  Deborah Estrin,et al.  Geographical and Energy Aware Routing: a recursive data dissemination protocol for wireless sensor networks , 2002 .

[9]  Mustafa K. Mehmet Ali,et al.  Lifetime Analysis for Wireless Sensor Networks , 2008, GLOBECOM.

[10]  B. R. Badrinath,et al.  Localized positioning in ad hoc networks , 2003, Ad Hoc Networks.

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

[12]  Ray Bert Book Review: \IInternet GIS: Distributed Geographic Information Systems for the Internet and Wireless Networks\N by Zhong-Ren Peng and Ming-Hsiang Tsou. Hoboken, New Jersey: John Wiley & Sons, Inc., 2003 , 2003 .

[13]  Matthew Ettus,et al.  System capacity, latency, and power consumption in multihop-routed SS-CDMA wireless networks , 1998, Proceedings RAWCON 98. 1998 IEEE Radio and Wireless Conference (Cat. No.98EX194).

[14]  Hanif D. Sherali,et al.  Optimal base station selection for anycast routing in wireless sensor networks , 2006, IEEE Transactions on Vehicular Technology.