DocumentCode :
3568983
Title :
Cooperative parameter estimation using PSO in ad-hoc WSN
Author :
Arastu, Sameer Husain ; Zerguine, Azzedine ; Saeed, Muhammad Omer Bin ; Al-Awami, Ali T.
Author_Institution :
Electr. Eng. Dept., King Fahd Univ. of Pet. & Miner., Dhahran, Saudi Arabia
fYear :
2012
Firstpage :
779
Lastpage :
783
Abstract :
In this work, a particle swarm optimization (PSO) algorithm is used to cooperatively estimate a monitored parameter by sensor nodes in an ad-hoc wireless sensor network (WSN). In the proposed algorithm, every sensor node of a wireless sensor network is equipped with a modified particle swarm optimization (MPSO) algorithm to estimate a parameter of interest. A diffusion scheme is used to cooperatively estimate this parameter by sharing the local best particle and the corresponding particle error value to the neighboring nodes. Thus the performance of the wireless sensor network is improved by exploiting the spatial and temporal diversity of the network by collaboratively estimating this parameter. The simulation results show that the diffusion MPSO (DMPSO) algorithm outperforms the non-cooperative MPSO (NCMPSO) algorithm, the diffusion least-mean-squares (DLMS) algorithm and the diffusion recursive-least-squares (DRLS) algorithm by considerable margin.
Keywords :
ad hoc networks; diversity reception; parameter estimation; particle swarm optimisation; wireless sensor networks; ad-hoc WSN; ad-hoc wireless sensor network; cooperative parameter estimation; diffusion MPSO algorithm; diffusion scheme; modified particle swarm optimization; spatial diversity; temporal diversity; Computational complexity; Estimation; Particle swarm optimization; Signal processing algorithms; Signal to noise ratio; Vectors; Wireless sensor networks; Wireless sensor network (WSN); cooperative parameter estimation; diffusion; particle swarm optimization (PSO);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Conference (EUSIPCO), 2012 Proceedings of the 20th European
ISSN :
2219-5491
Print_ISBN :
978-1-4673-1068-0
Type :
conf
Filename :
6334143
Link To Document :
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