A force-driven evolutionary approach for multi-objective 3D differentiated sensor network deployment

This paper describes a novel force-driven evolutionary approach for solving multi-objective 3D deployment problems in differentiated wireless sensor networks (WSNs). WSN is a wireless network consisting of spatially distributed autonomous sensors to monitor physical or environmental conditions. Deci...

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Bibliographic Details
Published in2009 IEEE 6th International Conference on Mobile Adhoc and Sensor Systems pp. 983 - 988
Main Authors Liang-Che Wei, Chih-Wei Kang, Jian-Hung Chen
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2009
Subjects
Condition monitoring
Energy conservation
Energy resources
Event detection
Genetic algorithms
Search methods
Sensor phenomena and characterization
Terrain factors
Underwater tracking
Wireless sensor networks
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Summary:This paper describes a novel force-driven evolutionary approach for solving multi-objective 3D deployment problems in differentiated wireless sensor networks (WSNs). WSN is a wireless network consisting of spatially distributed autonomous sensors to monitor physical or environmental conditions. Deciding the location of sensor to be deployed on a terrain with the consideration of different criteria is an important issue for the design of wireless sensor network. A multi-objective genetic algorithm with a force-driven method is proposed to solve 3D differentiated WSN deployment problems with the objectives of the coverage of sensors, satisfaction of detection levels, and energy conservation. The preliminary experimental results demonstrated that the proposed approach is capable of obtaining a set of non-dominated solutions for multi-objective 3D differentiated WSN deployment problems.
ISBN:9781424451142
1424451140
1424451132
9781424451135
ISSN:2155-6806
2155-6814
DOI:10.1109/MOBHOC.2009.5337021