Evolving a clustering algorithm for wireless sensor network using particle swarm optimisation
by Basma Solaiman; Alaa F. Sheta
International Journal of Swarm Intelligence (IJSI), Vol. 2, No. 1, 2016

Abstract: Energy consumption is a vital problem that faces wireless sensor network (WSN) because sensor nodes are always equipped with batteries that cannot be recharged or replaced. Thus, maximising the lifetime of WSN by means of minimising the energy dissipation is an essential aspect in WSN deployment. In this paper, we propose a novel algorithm to cluster the WSN using particle swarm optimisation, named PSO-VC. The proposed algorithm is designed to obtain the optimal number of clusters, optimum cluster heads and optimum clusters layout. The proposed PSO-VC aimed to maximise the number of transmissions which a CH can perform before the node depletes its energy. Our proposed algorithm was evaluated and compared with traditional Low-Energy Adaptive Clustering Hierarchy (LEACH) clustering protocol. Moreover, the same algorithm is re-implemented using genetic algorithm, named GA-VC. It was found that the proposed PSO-VC preserves more energy and considerably prolongs the network lifetime compared to the GA-VC and LEACH algorithms.

Online publication date: Thu, 30-Jun-2016

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Swarm Intelligence (IJSI):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com