Title: Maximum likelihood source localisation in wireless sensor network using particle swarm optimisation

Authors: T. Panigrahi; G. Panda; B. Majhi

Addresses: Department of Electronics and Communication Engineering, National Institute of Technology Rourkela, Rourkela, 769008, India ' Indian Institute of Technology Bhubaneswar, School of Electrical Science, Bhubaneswar 713002, India ' Department of Information Technology, ITER, Sikhya 'o' Anusandhan University, Bhubaneswar, India

Abstract: Direction-Of-Arrival (DOA) estimation in wireless sensor network is an important problem. Decentralised approach using antenna arrays at each node or sensor arrays at different positions are used to localise the sources. In this paper we proposed a centralised method where every node will participate in bearing estimation to achieve best resolution with minimum computation. The DOA is obtained by optimising ML function formed by a random array with all the nodes globally. A Particle Swarm Optimisation (PSO) based solution is proposed here to compute DOA. Simulation results confirm the advantages of PSO over most analysed multiple signal classification (MUSIC) algorithms.

Keywords: WSNs; wireless sensor networks; maximum likelihood estimation; MUSIC; PSO; particle swarm optimisation; direction of arrival; source localisation; simulation; multiple signal classification.

DOI: 10.1504/IJSISE.2013.053414

International Journal of Signal and Imaging Systems Engineering, 2013 Vol.6 No.2, pp.83 - 90

Received: 05 Feb 2011
Accepted: 24 May 2011
Published online: 21 Apr 2013 *

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