{"title":"Probabilistic Coverage Preserving Protocol with Energy Efficiency in Wireless Sensor Networks","authors":"J. Sheu, Huang-Fu Lin","doi":"10.1109/WCNC.2007.489","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a k-coverage preserving protocol to achieve energy efficiency while ensuring the required coverage. In our protocol, we try to select a minimal active set of sensor nodes to reach energy conservation and maintain a complete area k-coverage. We model this problem as a minimum set cover problem and solve it by using a heuristic greedy algorithm. Based on the k-coverage preserving protocol, we then propose a protocol to deal with the probabilistic k-coverage requirement, in which each sensor could be assumed to be able to detect a nearby event with a certain probability. In the probabilistic k-coverage protocol, any point in the monitoring region can be sensed by at least k sensor nodes no lower than a confidence probability. Finally, we evaluate the performance of our protocols with simulations.","PeriodicalId":292621,"journal":{"name":"2007 IEEE Wireless Communications and Networking Conference","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"40","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 IEEE Wireless Communications and Networking Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WCNC.2007.489","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 40
Abstract
In this paper, we propose a k-coverage preserving protocol to achieve energy efficiency while ensuring the required coverage. In our protocol, we try to select a minimal active set of sensor nodes to reach energy conservation and maintain a complete area k-coverage. We model this problem as a minimum set cover problem and solve it by using a heuristic greedy algorithm. Based on the k-coverage preserving protocol, we then propose a protocol to deal with the probabilistic k-coverage requirement, in which each sensor could be assumed to be able to detect a nearby event with a certain probability. In the probabilistic k-coverage protocol, any point in the monitoring region can be sensed by at least k sensor nodes no lower than a confidence probability. Finally, we evaluate the performance of our protocols with simulations.