{"title":"Future mobile network management with attractor selection","authors":"G. Motoyoshi, N. Wakamiya, M. Murata","doi":"10.1109/WONS.2012.6152230","DOIUrl":null,"url":null,"abstract":"Several task forces have been working on how to design the future Internet and it is high time for research work to move a step forward to networks on a large scale. In this paper, we propose a future mobile network architecture on a combination of OpenFlow and the attractor selection method to achieve scalability and energy conservation. In addition, we propose novel approaches to wireless network management by extending the attractor selection mechanism in route calculation and signaling cost for energy conservation. First, each mobile node selects the best suited interfaces in accordance with instantaneous live traffic volume. Then, network devices select the best cluster to join to reduce handover signaling cost. Through autonomous decision of each mobile node and network device, the whole wireless network can be managed in an energy efficient and robust manner.","PeriodicalId":309036,"journal":{"name":"2012 9th Annual Conference on Wireless On-Demand Network Systems and Services (WONS)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 9th Annual Conference on Wireless On-Demand Network Systems and Services (WONS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WONS.2012.6152230","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Several task forces have been working on how to design the future Internet and it is high time for research work to move a step forward to networks on a large scale. In this paper, we propose a future mobile network architecture on a combination of OpenFlow and the attractor selection method to achieve scalability and energy conservation. In addition, we propose novel approaches to wireless network management by extending the attractor selection mechanism in route calculation and signaling cost for energy conservation. First, each mobile node selects the best suited interfaces in accordance with instantaneous live traffic volume. Then, network devices select the best cluster to join to reduce handover signaling cost. Through autonomous decision of each mobile node and network device, the whole wireless network can be managed in an energy efficient and robust manner.