{"title":"Online Load Balancing for Energy-Aware Anycast Routing","authors":"M. Iqbal, I. Gondal, L. Dooley","doi":"10.1109/APCC.2006.255824","DOIUrl":null,"url":null,"abstract":"Anycast routing offers a flexible paradigm for resource constrained, ad hoc sensor networks, where sensors can route data to any available server. The selection policy of servers in an anycast scenario could assist in keeping the network operating quiescently for a required time frame. This paper proposes a novel load balancing model to make anycast routing decisions based on route efficiency, and remaining life-times of the servers. The model makes use of the historical load and channel capacity profiles to accurately estimate the remaining life of each server. The results show that the proposed technique achieves effective reconfiguration performance to meet the network time-to-live requirement and also maintains better load-balance with anycast routing protocol","PeriodicalId":205758,"journal":{"name":"2006 Asia-Pacific Conference on Communications","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 Asia-Pacific Conference on Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APCC.2006.255824","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Anycast routing offers a flexible paradigm for resource constrained, ad hoc sensor networks, where sensors can route data to any available server. The selection policy of servers in an anycast scenario could assist in keeping the network operating quiescently for a required time frame. This paper proposes a novel load balancing model to make anycast routing decisions based on route efficiency, and remaining life-times of the servers. The model makes use of the historical load and channel capacity profiles to accurately estimate the remaining life of each server. The results show that the proposed technique achieves effective reconfiguration performance to meet the network time-to-live requirement and also maintains better load-balance with anycast routing protocol