Keming Tang, Yong Xu, Hao Yang, Yue Ye, Weipeng Lv
{"title":"An Energy-Efficient Position Transformation Approach","authors":"Keming Tang, Yong Xu, Hao Yang, Yue Ye, Weipeng Lv","doi":"10.1109/MSN.2016.020","DOIUrl":null,"url":null,"abstract":"Geographic Routing is suitable for the limited resource in wireless sensor networks and Ricci flow-based methods have been employed. Unfortunately, iterative process through previous methods may spend abundant energy in order to discovery route, which obviously effect their advantageous of this sort of schemes. In this paper, we focus on avoiding unnecessary iterations and propose an algorithm through optimizing in hyperbolic domain. We choose a set of suitable candidate nodes to decrease superfluous costs and testify in our network system. Experiments demonstrate that our schemes are superior to the existing approaches.","PeriodicalId":135328,"journal":{"name":"2016 12th International Conference on Mobile Ad-Hoc and Sensor Networks (MSN)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 12th International Conference on Mobile Ad-Hoc and Sensor Networks (MSN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MSN.2016.020","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Geographic Routing is suitable for the limited resource in wireless sensor networks and Ricci flow-based methods have been employed. Unfortunately, iterative process through previous methods may spend abundant energy in order to discovery route, which obviously effect their advantageous of this sort of schemes. In this paper, we focus on avoiding unnecessary iterations and propose an algorithm through optimizing in hyperbolic domain. We choose a set of suitable candidate nodes to decrease superfluous costs and testify in our network system. Experiments demonstrate that our schemes are superior to the existing approaches.