Energy-Efficient Clustering and Localization Technique Using Genetic Algorithm in Wireless Sensor Networks

Energy-Efficient Clustering and Localization Technique Using Genetic Algorithm in Wireless Sensor Networks

Localization is recognized among the topmost vital features in numerous wireless sensor network (WSN) applications. This paper puts forward energy-efficient clustering and localization centered on genetic algorithm (ECGAL), in which the residual energy, distance estimation, and coverage connection a...

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Bibliographic Details
Main Authors: Junfeng Chen, Samson Hansen Sackey, Joseph Henry Anajemba, Xuewu Zhang, Yurun He
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2021/5541449
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