{"title":"Poster abstract: Pair-wise reference-free fault detection in wireless sensor networks","authors":"C. Lo, J. Lynch, M. Liu","doi":"10.1145/2185677.2185705","DOIUrl":null,"url":null,"abstract":"This poster presents a distributed reference-free fault detection algorithm which is based on local pair-wise verification. We show there exist a linear relationship between the output of any pair of sensors if the system excitations can be aggregated as a single system input. Using this relationship, faulty sensors suffering from sparse spike errors can be identified with high accuracy by our algorithm. An appealing feature of our method is that existence of reference sensors and knowledge of system input are not required. preliminary performance analysis shows that the algorithm is scalable, robust and able to detect most of the faults exist in the sen-sors. Communication power is also greatly reduced by the distributed nature of the algorithm.","PeriodicalId":231003,"journal":{"name":"2012 ACM/IEEE 11th International Conference on Information Processing in Sensor Networks (IPSN)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 ACM/IEEE 11th International Conference on Information Processing in Sensor Networks (IPSN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2185677.2185705","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
This poster presents a distributed reference-free fault detection algorithm which is based on local pair-wise verification. We show there exist a linear relationship between the output of any pair of sensors if the system excitations can be aggregated as a single system input. Using this relationship, faulty sensors suffering from sparse spike errors can be identified with high accuracy by our algorithm. An appealing feature of our method is that existence of reference sensors and knowledge of system input are not required. preliminary performance analysis shows that the algorithm is scalable, robust and able to detect most of the faults exist in the sen-sors. Communication power is also greatly reduced by the distributed nature of the algorithm.