{"title":"无线传感器网络中分布式干扰检测与防御","authors":"Ying Lin, Mingyan Li","doi":"10.1109/CISS.2009.5054832","DOIUrl":null,"url":null,"abstract":"We consider in this paper a single-channel wireless sensor network (WSN) where communication among sensor nodes are subject to jamming by an attacker. In particular, we address the detection of a jamming event, and investigate the optimal network defense strategy to mitigate jamming effects. A multiple-monitor distributed detection structure is considered. The optimal detection scheme is developed under the Bayesian criterion, with the goal of minimizing the error probability of detection at a fusion center. For the optimal network defense strategy, we formulate and solve the design problem using a constrained maximization problem by jointly considering Quality-of-Service and resource constraints of WSNs such as communication throughput, energy, and delay.","PeriodicalId":433796,"journal":{"name":"2009 43rd Annual Conference on Information Sciences and Systems","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"Distributed detection of jamming and defense in wireless sensor networks\",\"authors\":\"Ying Lin, Mingyan Li\",\"doi\":\"10.1109/CISS.2009.5054832\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We consider in this paper a single-channel wireless sensor network (WSN) where communication among sensor nodes are subject to jamming by an attacker. In particular, we address the detection of a jamming event, and investigate the optimal network defense strategy to mitigate jamming effects. A multiple-monitor distributed detection structure is considered. The optimal detection scheme is developed under the Bayesian criterion, with the goal of minimizing the error probability of detection at a fusion center. For the optimal network defense strategy, we formulate and solve the design problem using a constrained maximization problem by jointly considering Quality-of-Service and resource constraints of WSNs such as communication throughput, energy, and delay.\",\"PeriodicalId\":433796,\"journal\":{\"name\":\"2009 43rd Annual Conference on Information Sciences and Systems\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-03-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 43rd Annual Conference on Information Sciences and Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CISS.2009.5054832\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 43rd Annual Conference on Information Sciences and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CISS.2009.5054832","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Distributed detection of jamming and defense in wireless sensor networks
We consider in this paper a single-channel wireless sensor network (WSN) where communication among sensor nodes are subject to jamming by an attacker. In particular, we address the detection of a jamming event, and investigate the optimal network defense strategy to mitigate jamming effects. A multiple-monitor distributed detection structure is considered. The optimal detection scheme is developed under the Bayesian criterion, with the goal of minimizing the error probability of detection at a fusion center. For the optimal network defense strategy, we formulate and solve the design problem using a constrained maximization problem by jointly considering Quality-of-Service and resource constraints of WSNs such as communication throughput, energy, and delay.