DocumentCode
3600969
Title
Balancing Energy Consumption in Heterogeneous Wireless Sensor Networks Using Genetic Algorithm
Author
Elhoseny, Mohamed ; Xiaohui Yuan ; Zhengtao Yu ; Cunli Mao ; El-Minir, Hamdy K. ; Riad, Alaa Mohamed
Author_Institution
Dept. of Inf. Syst., Mansoura Univ., Mansoura, Egypt
Volume
19
Issue
12
fYear
2015
Firstpage
2194
Lastpage
2197
Abstract
In a heterogeneous Wireless Sensor Network (WSN), factors such as initial energy, data processing capability, etc. greatly influence the network lifespan. Despite the success of various clustering strategies of WSN, the numerous possible sensor clusters make searching for an optimal network structure an open challenge. In this paper, we propose a Genetic Algorithm based method that optimizes heterogeneous sensor node clustering. Compared with five state-of-the-art methods, our proposed method greatly extends the network life, and the average improvement with respect to the second best performance based on the first-node-die and the last-node-die is 33.8% and 13%, respectively. The balanced energy consumption greatly improves the network life and allows the sensor energy to deplete evenly. The computational efficiency of our method is comparable to the others and the overall average time across all experiments is 0.6 seconds with a standard deviation of 0.06.
Keywords
energy consumption; genetic algorithms; telecommunication power management; wireless sensor networks; WSN; balanced energy consumption; first-node-die; genetic algorithm based method; heterogeneous sensor node clustering; heterogeneous wireless sensor network; last-node-die; network lifespan; time 0.6 s; Biological cells; Data processing; Energy consumption; Genetic algorithms; Protocols; Standards; Wireless sensor networks; Clustering Methods; Energy Conservation; Genetic Algorithms; Wireless Sensor Networks; Wireless sensor networks; clustering methods; energy conservation; genetic algorithms;
fLanguage
English
Journal_Title
Communications Letters, IEEE
Publisher
ieee
ISSN
1089-7798
Type
jour
DOI
10.1109/LCOMM.2014.2381226
Filename
6985574
Link To Document