Energy efficient coverage control in wireless sensor networks based on multi-objective genetic algorithm

DOI10.1016/j.camwa.2008.10.036zbMath1186.90022OpenAlexW1974086393MaRDI QIDQ971705

Jie Jia, Zhenhua Tan, Jian Chen, Gui-Ran Chang

Publication date: 16 May 2010

Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.camwa.2008.10.036

zbMATH Keywords

energywireless sensor networkmulti-objective genetic algorithmcoverage control

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29) Deterministic network models in operations research (90B10)

Related Items (5)

Nature-inspired algorithms for wireless sensor networks: a comprehensive survey ⋮ Modeling and optimization of energy efficient routing in wireless sensor networks ⋮ Sensor deployment optimization methods to achieve both coverage and connectivity in wireless sensor networks ⋮ MOICA: a novel multi-objective approach based on imperialist competitive algorithm ⋮ Entropy based solid transportation problems with discounted unit costs under fuzzy random environment

Cites Work

• Grid coverage for surveillance and target location in distributed sensor networks

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