Abderrazak Daoudi, Youssef Kerfi, Imade Benelallam, E. Bouyakhf
{"title":"A constraint programming approach for coverage optimization problem in WSN","authors":"Abderrazak Daoudi, Youssef Kerfi, Imade Benelallam, E. Bouyakhf","doi":"10.1109/INTECH.2012.6457791","DOIUrl":null,"url":null,"abstract":"Wireless Sensor Networks (WSN) constitutes the platform of a broad range of applications related to surveillance such as military, and environmental monitoring. In these fields, the deployment of WSN to support optimal coverage is obviously a fastidious task, especially when a multiple coverage is needed. In this paper, we present a multi-objective constraints optimization approach for solving the above issue. Therefore, we investigate two main ideas: First, a pre-processing step with field analysis in three dimensions (3D) environment. Second, a robust based-constraint modeling approach with multi-objective function. Experimental results are presented to evaluate the effectiveness of our approach.","PeriodicalId":369113,"journal":{"name":"Second International Conference on the Innovative Computing Technology (INTECH 2012)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Second International Conference on the Innovative Computing Technology (INTECH 2012)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INTECH.2012.6457791","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Wireless Sensor Networks (WSN) constitutes the platform of a broad range of applications related to surveillance such as military, and environmental monitoring. In these fields, the deployment of WSN to support optimal coverage is obviously a fastidious task, especially when a multiple coverage is needed. In this paper, we present a multi-objective constraints optimization approach for solving the above issue. Therefore, we investigate two main ideas: First, a pre-processing step with field analysis in three dimensions (3D) environment. Second, a robust based-constraint modeling approach with multi-objective function. Experimental results are presented to evaluate the effectiveness of our approach.
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