{"title":"Adaptive Fuzzy Logic Mobility Management for WSN","authors":"Z. Zinonos, V. Vassiliou, C. Chrysostomou","doi":"10.1109/DCOSS.2014.40","DOIUrl":null,"url":null,"abstract":"Mobility management is a crucial problem for wireless mobile communication, especially in industrial wireless sensor networks. Our mobility approach resides on the fact we need to adaptively combine globally available information in order to produce a successful handoff. In this paper, we propose an adaptive fuzzy logic mobility system to support the handoff procedure in industrial wireless sensors. The results clearly show that the proposed adaptive fuzzy logic mobility controller performs better compared to the non-adaptive fuzzy logic controller, in terms of packet loss, power consumption, and on-time triggering.","PeriodicalId":351707,"journal":{"name":"2014 IEEE International Conference on Distributed Computing in Sensor Systems","volume":"93 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE International Conference on Distributed Computing in Sensor Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DCOSS.2014.40","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
Mobility management is a crucial problem for wireless mobile communication, especially in industrial wireless sensor networks. Our mobility approach resides on the fact we need to adaptively combine globally available information in order to produce a successful handoff. In this paper, we propose an adaptive fuzzy logic mobility system to support the handoff procedure in industrial wireless sensors. The results clearly show that the proposed adaptive fuzzy logic mobility controller performs better compared to the non-adaptive fuzzy logic controller, in terms of packet loss, power consumption, and on-time triggering.