Title
Genetic algorithm for energy-efficient clustering and routing in wireless sensor networks.
Abstract
•The proposed method improves search efficiency of the optimal solution.•The fitness function is based on energy consumption to improve energy efficiency.•The proposed method considers the load balancing.•Simulation shows that our proposed method is better than the existing algorithms.
Year
DOI
Venue
2018
10.1016/j.jss.2018.09.067
Journal of Systems and Software
Keywords
Field
DocType
Wireless sensor networks,Clustering algorithm,Genetic algorithm,Energy-efficiency,Network life cycle,Routing
Population,Mathematical optimization,Computer science,Efficient energy use,Load balancing (computing),Real-time computing,Fitness function,Energy supply,Cluster analysis,Wireless sensor network,Energy consumption
Journal
Volume
ISSN
Citations 
146
0164-1212
7
PageRank 
References 
Authors
0.44
31
4
Name
Order
Citations
PageRank
Tianshu Wang1132.67
Gongxuan Zhang29419.89
Xichen Yang3153.04
Ahmadreza Vajdi4162.93