{"title":"A consensus approach to the assignment problem: Application to mobile sensor dispatch","authors":"T. Wongpiromsarn, Keyou You, Lihua Xie","doi":"10.1109/ICCA.2010.5524255","DOIUrl":null,"url":null,"abstract":"We propose a consensus protocol to solve the assignment problem in a completely distributed manner without any central management or global knowledge. Our protocol is based on the auction algorithm and ensures convergence to an assignment that is within n∈ of being optimal where n is the number of agents and ∈ is a design parameter. We then apply the proposed protocol to the mobile sensor dispatch problem to let each mobile sensor determines, in a completely distributed manner, the failed static sensor it should recover so that the total distance traveled by all the mobile sensors is minimized.","PeriodicalId":155562,"journal":{"name":"IEEE ICCA 2010","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE ICCA 2010","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCA.2010.5524255","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11
Abstract
We propose a consensus protocol to solve the assignment problem in a completely distributed manner without any central management or global knowledge. Our protocol is based on the auction algorithm and ensures convergence to an assignment that is within n∈ of being optimal where n is the number of agents and ∈ is a design parameter. We then apply the proposed protocol to the mobile sensor dispatch problem to let each mobile sensor determines, in a completely distributed manner, the failed static sensor it should recover so that the total distance traveled by all the mobile sensors is minimized.