{"title":"平均一致性算法的脆弱性:随机通信故障对广义Metropolis-Hastings权值设计的影响","authors":"M. Kenyeres, J. Kenyeres, I. Budinská","doi":"10.1109/SAMI.2019.8782748","DOIUrl":null,"url":null,"abstract":"The fault tolerance is an important design issue of many real-life applications based on the wireless sensor networks. However, the implementation of protective mechanisms results in increased overall energy consumption, making its usage not optimal. This paper focuses on the fault tolerance of the average consensus algorithm with the generalized Metropolis-Hastings weight design with a modified mixing parameter and without any protection. The robustness of the algorithm is examined using an MSE-metric for four various initial configurations and the obtained results are compared with concurrent weight designs for various failure probabilities.","PeriodicalId":240256,"journal":{"name":"2019 IEEE 17th World Symposium on Applied Machine Intelligence and Informatics (SAMI)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Vulnerability of Average Consensus Algorithm: Impact of Stochastic Communication Breakdowns on Generalized Metropolis-Hastings Weight Design\",\"authors\":\"M. Kenyeres, J. Kenyeres, I. Budinská\",\"doi\":\"10.1109/SAMI.2019.8782748\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The fault tolerance is an important design issue of many real-life applications based on the wireless sensor networks. However, the implementation of protective mechanisms results in increased overall energy consumption, making its usage not optimal. This paper focuses on the fault tolerance of the average consensus algorithm with the generalized Metropolis-Hastings weight design with a modified mixing parameter and without any protection. The robustness of the algorithm is examined using an MSE-metric for four various initial configurations and the obtained results are compared with concurrent weight designs for various failure probabilities.\",\"PeriodicalId\":240256,\"journal\":{\"name\":\"2019 IEEE 17th World Symposium on Applied Machine Intelligence and Informatics (SAMI)\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE 17th World Symposium on Applied Machine Intelligence and Informatics (SAMI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SAMI.2019.8782748\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 17th World Symposium on Applied Machine Intelligence and Informatics (SAMI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SAMI.2019.8782748","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Vulnerability of Average Consensus Algorithm: Impact of Stochastic Communication Breakdowns on Generalized Metropolis-Hastings Weight Design
The fault tolerance is an important design issue of many real-life applications based on the wireless sensor networks. However, the implementation of protective mechanisms results in increased overall energy consumption, making its usage not optimal. This paper focuses on the fault tolerance of the average consensus algorithm with the generalized Metropolis-Hastings weight design with a modified mixing parameter and without any protection. The robustness of the algorithm is examined using an MSE-metric for four various initial configurations and the obtained results are compared with concurrent weight designs for various failure probabilities.