Genetic Algorithm Based Energy Efficient Clusters (GABEEC) in Wireless Sensor Networks
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Date
2012
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
ELSEVIER SCIENCE BV
Access Rights
info:eu-repo/semantics/openAccess
Abstract
In this paper, a genetic algorithm based method (GABEEC) is proposed to optimize the lifetime of wireless sensor networks. The proposed method is a cluster based approach like LEACH. Genetic algorithm is used to maximize the lifetime of the network by means of rounds. The method has 2 phases which are Set-up and Steady-state phase. In the set-up phase, the clusters are created and are not changed throughout the network. The clusters are not recreated for each round. In each round, there are static clusters with dynamically changing clusterheads. A simulator is developed in MS Visual C# 2010 development environment to validate the proposed method. In the simulation, 100 nodes are randomly distributed in 50x50 square meters area. The results show that the proposed method is found to be more efficient than LEACH. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of [name organizer]
Description
3rd International Conference on Ambient Systems, Networks and Technologies (ANT) / 9th International Conference on Mobile Web Information Systems (MobiWIS) -- AUG 27-29, 2012 -- Niagara Falls, CANADA
Keywords
sensor networks, genetic algorithm, energy-efficient
Journal or Series
ANT 2012 AND MOBIWIS 2012
WoS Q Value
N/A
Scopus Q Value
N/A
Volume
10
