A genetic algorithm-based wireless sensor network coverage-enhancing approach

Ying-lan Zeng; Jinhua Zheng

doi:10.1109/icnc.2012.6234567

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JOURNAL ARTICLE

A genetic algorithm-based wireless sensor network coverage-enhancing approach

Ying-lan Zeng Jinhua Zheng

Year: 2012 Vol: 32 Pages: 1069-1073

DOI: 10.1109/icnc.2012.6234567

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Abstract

For hybrid wireless sensor networks with mobile nodes, to optimize the coverage performance, a control strategy based on SA-MODE (Self Adaptive-Multi Objective Differential Evolutionary Algorithm) for mobile nodes is proposed. Simulation results have shown the validity of the algorithm.

Keywords:

Computer science Wireless sensor network Genetic algorithm Wireless network Mobile wireless Wireless Key distribution in wireless sensor networks Differential evolution Computer network Mobile radio Distributed computing Algorithm Telecommunications Machine learning

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Topics

Energy Efficient Wireless Sensor Networks

Physical Sciences → Computer Science → Computer Networks and Communications

Robotic Path Planning Algorithms

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Distributed Control Multi-Agent Systems

Physical Sciences → Computer Science → Computer Networks and Communications

A genetic algorithm-based wireless sensor network coverage-enhancing approach

Abstract

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Citation History

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