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Energy-aware clustering for wireless sensor networks using particle swarm optimization

Lookup NU author(s): Professor Harris Tsimenidis, Professor Bayan Sharif



Wireless sensor networks (WSNs) are mainly characterized by their limited and non-replenishable energy supply. Hence, the need for energy efficient infrastructure is becoming increasingly more important since it impacts upon the network operational lifetime. Sensor node clustering is one of the techniques that can expand the lifespan of the whole network through data aggregation at the cluster head. In this paper, we present an energy-aware clustering for wireless sensor networks using Particle Swarm Optimization (PSO) algorithm which is implemented at the base station. We define a new cost function, with the objective of simultaneously minimizing the intra-cluster distance and optimizing the energy consumption of the network. The performance of our protocol is compared with the well known cluster-based protocol developed for WSNs, LEACH (Low-Energy Adaptive Clustering Hierarchy) and LEACH-C, the later being an improved version of LEACH. Simulation results demonstrate that our proposed protocol can achieve better network lifetime and data delivery at the base station over its comparatives. © 2007 IEEE.

Publication metadata

Author(s): Latiff NMA, Tsimenidis CC, Sharif BS

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC

Year of Conference: 2007

Pages: -

Date deposited: 26/05/2010

Publisher: Institute of Electrical and Electronics Engineers


DOI: 10.1109/PIMRC.2007.4394521

Library holdings: Search Newcastle University Library for this item

ISBN: 1424411440