Universiti Teknologi Malaysia Institutional Repository

Performance comparison of optimization algorithm for clustering in wireless sensor networks

Abdul Latif, N. M. and Tsimenidis, C. C. and Sharif, B. S. (2007) Performance comparison of optimization algorithm for clustering in wireless sensor networks. In: IEEE Internatonal Conference on Mobile Adhoc and Sensor Systems 2007, 2007, Italy.

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Official URL: http://dx.doi.org/10.1109/MOBHOC.2007.4428638

Abstract

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.

Item Type:Conference or Workshop Item (Paper)
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:14618
Deposited By: Liza Porijo
Deposited On:26 Aug 2011 09:11
Last Modified:26 Aug 2011 09:11

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