{"title":"Improving Energy Efficiency in QoS-Enabled Wireless Sensor Networks","authors":"Liqi Shi, A. Fapojuwo","doi":"10.1109/VETECS.2010.5494234","DOIUrl":null,"url":null,"abstract":"In this paper, a heuristic approach is proposed to solve the problem of supporting both energy efficiency and quality of service (QoS) in time division multiple access (TDMA) based wireless sensor networks (WSNs). The proposed approach consists of a linear cross-layer optimization model and a slot reuse based TDMA scheduling algorithm, which are jointly inter-connected through a hop distance/slot reuse control parameter. Compared to existing approaches, both the analysis and simulation results show that the proposed approach provides more choices in deriving the optimal solution, which achieves significant power savings and competitive QoS support.","PeriodicalId":325246,"journal":{"name":"2010 IEEE 71st Vehicular Technology Conference","volume":"63 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE 71st Vehicular Technology Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VETECS.2010.5494234","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
In this paper, a heuristic approach is proposed to solve the problem of supporting both energy efficiency and quality of service (QoS) in time division multiple access (TDMA) based wireless sensor networks (WSNs). The proposed approach consists of a linear cross-layer optimization model and a slot reuse based TDMA scheduling algorithm, which are jointly inter-connected through a hop distance/slot reuse control parameter. Compared to existing approaches, both the analysis and simulation results show that the proposed approach provides more choices in deriving the optimal solution, which achieves significant power savings and competitive QoS support.