{"title":"Design and implementation of TDPC sleep scheduling algorithm for energy efficient networks","authors":"Rewa Sharma, C. K. Jha, Meha Sharma","doi":"10.1109/ICRAIE.2014.6909273","DOIUrl":null,"url":null,"abstract":"The key point for successful operation of routing based sensor networks is to save power consumption and thus utilize the energy efficiently. Researchers have been working on the same by following standard Type I, II and III sleep scheduling algorithms. In this paper we have proposed a new approach Traffic Dependent Power Conservation, which proactively measures and models the traffic of the network and the sleep window size is estimated by considering the entire traffic of network as a cumulative flow instead of individual patterns. Authors are successful in modeling the proposed approach TDPC (Traffic Dependent Power Conservation) to provide enhanced capability to achieve power conservation.","PeriodicalId":355706,"journal":{"name":"International Conference on Recent Advances and Innovations in Engineering (ICRAIE-2014)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Recent Advances and Innovations in Engineering (ICRAIE-2014)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICRAIE.2014.6909273","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
The key point for successful operation of routing based sensor networks is to save power consumption and thus utilize the energy efficiently. Researchers have been working on the same by following standard Type I, II and III sleep scheduling algorithms. In this paper we have proposed a new approach Traffic Dependent Power Conservation, which proactively measures and models the traffic of the network and the sleep window size is estimated by considering the entire traffic of network as a cumulative flow instead of individual patterns. Authors are successful in modeling the proposed approach TDPC (Traffic Dependent Power Conservation) to provide enhanced capability to achieve power conservation.
基于路由的传感器网络成功运行的关键是节省功耗,从而有效地利用能量。研究人员一直在按照标准的I、II和III型睡眠调度算法进行研究。在本文中,我们提出了一种新的基于流量的功率节约方法,该方法主动测量和建模网络的流量,并通过将网络的整个流量视为累积流而不是单个模式来估计睡眠窗口大小。作者成功地对所提出的方法TDPC (Traffic Dependent Power Conservation)进行了建模,以提供增强的实现功率节约的能力。