{"title":"基于法向量的无线传感器网络容错事件边界检测","authors":"Wei Wang, Ruihua Zhang, Zhongwei Chen, Lei Ju","doi":"10.1109/TrustCom.2013.160","DOIUrl":null,"url":null,"abstract":"This paper presented a distributed fault-tolerant event boundary detection scheme for wireless sensor networks. In this paper, the node coordinate and its reading were mapped on a 3D mesh surface, By comparing the node normal vector got by Normal Vector Based Fault-Tolerant Event Boundary Detection (NVBD) with a predefined threshold, the event boundary nodes are found. This approach was composed of two major tasks: (1) detecting the faulty node and then replacing its detection value with its neighbors' weighted median value, (2) computing node normal vector using its neighbors' detection values. Then we compared it with a threshold to judge if it is a boundary node. The results of numerical simulations show that the NVBD scheme can achieve a substantial improvement on detection performance.","PeriodicalId":206739,"journal":{"name":"2013 12th IEEE International Conference on Trust, Security and Privacy in Computing and Communications","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Normal Vector Based Fault-Tolerant Event Boundary Detection in Wireless Sensor Networks\",\"authors\":\"Wei Wang, Ruihua Zhang, Zhongwei Chen, Lei Ju\",\"doi\":\"10.1109/TrustCom.2013.160\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presented a distributed fault-tolerant event boundary detection scheme for wireless sensor networks. In this paper, the node coordinate and its reading were mapped on a 3D mesh surface, By comparing the node normal vector got by Normal Vector Based Fault-Tolerant Event Boundary Detection (NVBD) with a predefined threshold, the event boundary nodes are found. This approach was composed of two major tasks: (1) detecting the faulty node and then replacing its detection value with its neighbors' weighted median value, (2) computing node normal vector using its neighbors' detection values. Then we compared it with a threshold to judge if it is a boundary node. The results of numerical simulations show that the NVBD scheme can achieve a substantial improvement on detection performance.\",\"PeriodicalId\":206739,\"journal\":{\"name\":\"2013 12th IEEE International Conference on Trust, Security and Privacy in Computing and Communications\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-07-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 12th IEEE International Conference on Trust, Security and Privacy in Computing and Communications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TrustCom.2013.160\",\"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 12th IEEE International Conference on Trust, Security and Privacy in Computing and Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TrustCom.2013.160","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Normal Vector Based Fault-Tolerant Event Boundary Detection in Wireless Sensor Networks
This paper presented a distributed fault-tolerant event boundary detection scheme for wireless sensor networks. In this paper, the node coordinate and its reading were mapped on a 3D mesh surface, By comparing the node normal vector got by Normal Vector Based Fault-Tolerant Event Boundary Detection (NVBD) with a predefined threshold, the event boundary nodes are found. This approach was composed of two major tasks: (1) detecting the faulty node and then replacing its detection value with its neighbors' weighted median value, (2) computing node normal vector using its neighbors' detection values. Then we compared it with a threshold to judge if it is a boundary node. The results of numerical simulations show that the NVBD scheme can achieve a substantial improvement on detection performance.