Phi-Le Nguyen, Khanh-Van Nguyen, Q. Vu, Yusheng Ji
{"title":"A Time and Energy Efficient Protocol for Locating Coverage Holes in WSNs","authors":"Phi-Le Nguyen, Khanh-Van Nguyen, Q. Vu, Yusheng Ji","doi":"10.1109/LCN.2016.37","DOIUrl":null,"url":null,"abstract":"There are two main requirements in dealing with coverage holes in wireless sensor networks (WSNs): locating the hole boundary and finding the locations to deploy new sensors for hole patching. The current protocols on finding the patching locations always require re-running the protocols from scratch many times. This constraint causes the time complexity and energy overhead to increase proportionally to the hole size. In this paper, we propose a lightweight protocol to determine coverage holes in wireless sensor network. Our protocol does not only can determine the exact hole boundary but also approximate the boundary by a simpler shape which can help to speed up the patching location finding process. The simulation experiments show that our protocol can reduce more than 56% of time complexity and save more than 46% of energy overhead in comparison with existing protocols.","PeriodicalId":6864,"journal":{"name":"2016 IEEE 41st Conference on Local Computer Networks (LCN)","volume":"39 1","pages":"180-183"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE 41st Conference on Local Computer Networks (LCN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/LCN.2016.37","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
There are two main requirements in dealing with coverage holes in wireless sensor networks (WSNs): locating the hole boundary and finding the locations to deploy new sensors for hole patching. The current protocols on finding the patching locations always require re-running the protocols from scratch many times. This constraint causes the time complexity and energy overhead to increase proportionally to the hole size. In this paper, we propose a lightweight protocol to determine coverage holes in wireless sensor network. Our protocol does not only can determine the exact hole boundary but also approximate the boundary by a simpler shape which can help to speed up the patching location finding process. The simulation experiments show that our protocol can reduce more than 56% of time complexity and save more than 46% of energy overhead in comparison with existing protocols.