{"title":"Optimal roadside unit deployment in vehicle-to-infrastructure communications","authors":"Po-Chiang Lin","doi":"10.1109/ITST.2012.6425291","DOIUrl":null,"url":null,"abstract":"In vehicular communications, roadside units are the key components to collect/disseminate information from/to vehicles. In this paper we investigate the roadside unit deployment problem in vehicle-to-infrastructure communications. This problem is formulated as a constrained optimization problem with the objective to minimize the deployment cost subject to the constraints that all service areas should be covered. The roadside unit deployment problem under consideration is a binary integer programming problem. We solve it by the branch and bound method which could effectively reduce the complexity.","PeriodicalId":143706,"journal":{"name":"2012 12th International Conference on ITS Telecommunications","volume":"75 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 12th International Conference on ITS Telecommunications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITST.2012.6425291","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 17
Abstract
In vehicular communications, roadside units are the key components to collect/disseminate information from/to vehicles. In this paper we investigate the roadside unit deployment problem in vehicle-to-infrastructure communications. This problem is formulated as a constrained optimization problem with the objective to minimize the deployment cost subject to the constraints that all service areas should be covered. The roadside unit deployment problem under consideration is a binary integer programming problem. We solve it by the branch and bound method which could effectively reduce the complexity.