Title | ||
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Genetic algorithm for energy-efficient clustering and routing in wireless sensor networks. |
Abstract | ||
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•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 Wang | 1 | 13 | 2.67 |
Gongxuan Zhang | 2 | 94 | 19.89 |
Xichen Yang | 3 | 15 | 3.04 |
Ahmadreza Vajdi | 4 | 16 | 2.93 |