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International Journal of Innovation and Scientific Research
ISSN: 2351-8014
 
 
Tuesday 23 October 2018

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Energy-Efficient Link-aware PSO-Based Clustering Algorithm in Wireless Sensor Networks (WSNs)


Volume 26, Issue 1, August 2016, Pages 347–354

 Energy-Efficient Link-aware PSO-Based Clustering Algorithm in Wireless Sensor Networks (WSNs)

Morteza Mohammadi and Khosrow Amirizadeh

Original language: English

Received 15 August 2016

Copyright © 2016 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract


Recently Wireless Sensor Networks (WSNs) has turned into a popular matter of research area, because of its flexibility and dynamic nature. It is proven that the clustering technique, as a multi objective optimization, is the most effective solution to have minimum energy consumption. The goal of the clustering technique is to divide network sensors into clusters each of which has a cluster-head (CH) responsible to collect, aggregate and send sensed data to the base station (BS). The recent researches shown that such multi objective optimization in WSNs can be solved through well adapted an evolutionary algorithm. In this paper an improved k-mean clustering model powered by Particle Swarm Optimization (PSO) algorithm is presented. This is called Link-aware PSO, LSPO. The proposed model utilizes two-phase optimization by applying different fitness function. At the first phase, it selects Primary Cluster-heads based on improved Intra-Cluster Distance metric as fitness function in PSO algorithm to give primary CHs. In the second phase each primary CHs selected are evaluated by link quality and energy metrics to select the best ones as final CHs. Simulation results showed that the proposed algorithm outperforms LEACH and PSO-C algorithms in term of performance, prolonging network lifetime and energy saving.

Author Keywords: Wireless Sensor Networks (WSNs), Clustering, Particle Swarm Optimization, Energy Efficiency, Link Reliability.


How to Cite this Article


Morteza Mohammadi and Khosrow Amirizadeh, “Energy-Efficient Link-aware PSO-Based Clustering Algorithm in Wireless Sensor Networks (WSNs),” International Journal of Innovation and Scientific Research, vol. 26, no. 1, pp. 347–354, August 2016.