{"title":"基于TBM理论的覆盖分析线性有序传感器网络部署","authors":"S. Kumar, D. K. Lobiyal","doi":"10.1109/IADCC.2013.6514259","DOIUrl":null,"url":null,"abstract":"Efficient sensor deployment scheme for target detection is one of the fundamental issues in wireless sensor networks. In this paper, we have proposed a deployment algorithm named linear order deployment algorithm (LODA). LODA uses transferable belief model (TBM) for target detection. This technique improves the overall performance in comparison to probability theory. The simulation results show that LODA improves the sensing coverage with limited number of sensors than the random deployment method.","PeriodicalId":325901,"journal":{"name":"2013 3rd IEEE International Advance Computing Conference (IACC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Linear order sensor network deployment for coverage analysis based on TBM theory\",\"authors\":\"S. Kumar, D. K. Lobiyal\",\"doi\":\"10.1109/IADCC.2013.6514259\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Efficient sensor deployment scheme for target detection is one of the fundamental issues in wireless sensor networks. In this paper, we have proposed a deployment algorithm named linear order deployment algorithm (LODA). LODA uses transferable belief model (TBM) for target detection. This technique improves the overall performance in comparison to probability theory. The simulation results show that LODA improves the sensing coverage with limited number of sensors than the random deployment method.\",\"PeriodicalId\":325901,\"journal\":{\"name\":\"2013 3rd IEEE International Advance Computing Conference (IACC)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-05-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 3rd IEEE International Advance Computing Conference (IACC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IADCC.2013.6514259\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 3rd IEEE International Advance Computing Conference (IACC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IADCC.2013.6514259","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Linear order sensor network deployment for coverage analysis based on TBM theory
Efficient sensor deployment scheme for target detection is one of the fundamental issues in wireless sensor networks. In this paper, we have proposed a deployment algorithm named linear order deployment algorithm (LODA). LODA uses transferable belief model (TBM) for target detection. This technique improves the overall performance in comparison to probability theory. The simulation results show that LODA improves the sensing coverage with limited number of sensors than the random deployment method.