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Lookup NU author(s): Professor Harris Tsimenidis, Professor Bayan Sharif
Clustering in wireless sensor networks (WSNs) is one of the techniques that can expand the lifetime of the whole network through data aggregation at the cluster head. This paper presents performance comparison between Particle Swarm Optimization (PSO) and Genetic Algorithms (GA) with a new cost function that has the objective of simultaneously minimizing the intra-cluster distance and optimizing the energy consumption of the network. Furthermore, a comparison is made with the well known cluster-based protocols developed for WSNs, LEACH (Low-Energy Adaptive Clustering Hierarchy) and LEACH-C, the later being an improved version of LEACH, as well as the traditional K-means clustering algorithm. Simulation results demonstrate that the proposed protocol using PSO algorithm has higher efficiency and can achieve better network lifetime and data delivery at the base station over its comparatives. ©2007 IEEE.
Author(s): Abdul Latiff NM, Tsimenidis CC, Sharif BS
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: IEEE Internatonal Conference on Mobile Adhoc and Sensor Systems, MASS
Year of Conference: 2007
Pages: -
Date deposited: 08/06/2010
Publisher: IEEE Xplore
URL: http://dx.doi.org/10.1109/MOBHOC.2007.4428638
DOI: 10.1109/MOBHOC.2007.4428638
Library holdings: Search Newcastle University Library for this item
ISBN: 1424414555
