{"title":"A practical approach to QoS routing for wireless networks","authors":"Teresa Tung, Zhanfeng Jia, J. Walrand","doi":"10.1109/WIOPT.2005.6","DOIUrl":null,"url":null,"abstract":"We study QoS routing in wireless networks. We impose a structure on the network to combat the far-reaching effects of interference. We observe that there is little difference between routes through shared interference domains; instead the choices exist between routes through different domains. Based on this observation, we suggest partitioning the network into non-overlapping clusters where each cluster represents an interference domain. Routing algorithms operate over the cluster-level topology and use shortest paths within the clusters. Clustering decouples the constraints allowing for estimates of the available capacity within a cluster via local measurements. We present a routing algorithm that chooses amongst cluster-level paths to accommodate a flow with certain QoS requirements. An admission control policy checks the feasibility of the suggested route and refines our estimates of available capacity.","PeriodicalId":109366,"journal":{"name":"Third International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt'05)","volume":"122 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Third International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt'05)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WIOPT.2005.6","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
We study QoS routing in wireless networks. We impose a structure on the network to combat the far-reaching effects of interference. We observe that there is little difference between routes through shared interference domains; instead the choices exist between routes through different domains. Based on this observation, we suggest partitioning the network into non-overlapping clusters where each cluster represents an interference domain. Routing algorithms operate over the cluster-level topology and use shortest paths within the clusters. Clustering decouples the constraints allowing for estimates of the available capacity within a cluster via local measurements. We present a routing algorithm that chooses amongst cluster-level paths to accommodate a flow with certain QoS requirements. An admission control policy checks the feasibility of the suggested route and refines our estimates of available capacity.