{"title":"Energy-saving framework for wireless access infrastructures","authors":"K. Gomez, C. Sengul, N. Bayer","doi":"10.1109/OnlineGreenCom.2013.6731032","DOIUrl":null,"url":null,"abstract":"Although several works in the literature promise signigicant energy savings for wireless access infrastructures through energy-saving strategies, the number of implementations in real systems is limited, if not zero. This is mainly due to the lack of hardware and software support, especially for monitoring and controlling the wireless access devices. In this demo, we present an energy-saving framework that fills this gap and enables testing and evaluating different energy-saving strategies in a real deployment. We show the feasibility of our framework using an implementation of an energy-saving decision algorithm, Morfeo. In our demo, Morfeo uses the proposed framework to tune the energy consumption of a wireless access testbed to the actual network conditions determined by the user density and traffic.","PeriodicalId":152857,"journal":{"name":"2013 IEEE Online Conference on Green Communications (OnlineGreenComm)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE Online Conference on Green Communications (OnlineGreenComm)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/OnlineGreenCom.2013.6731032","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
Although several works in the literature promise signigicant energy savings for wireless access infrastructures through energy-saving strategies, the number of implementations in real systems is limited, if not zero. This is mainly due to the lack of hardware and software support, especially for monitoring and controlling the wireless access devices. In this demo, we present an energy-saving framework that fills this gap and enables testing and evaluating different energy-saving strategies in a real deployment. We show the feasibility of our framework using an implementation of an energy-saving decision algorithm, Morfeo. In our demo, Morfeo uses the proposed framework to tune the energy consumption of a wireless access testbed to the actual network conditions determined by the user density and traffic.