Heterogeneous wireless sensor network (WSN) installation using novel genetic operators in a multiobjective optimization evolutionary algorithm
This paper proposes and evaluates novel genetic operators in a multi-objective optimization evolutionary algorithm for heterogeneous wireless sensor network (WSN) installation. To be practical on WSN deployment, the target area is divided by the installation cost and sensing coverage requirement of...
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Main Authors: | , , |
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Format: | Conference or Workshop Item |
Published: |
2015
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Online Access: | http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84901751140&origin=inward http://cmuir.cmu.ac.th/handle/6653943832/39037 |
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Institution: | Chiang Mai University |