Saroj Kumar Rout, A. Rath, Chidananda Bhagabati, P. K. Mohapatra
{"title":"Node localization by using fuzzy optimization technique in wireless sensor networks","authors":"Saroj Kumar Rout, A. Rath, Chidananda Bhagabati, P. K. Mohapatra","doi":"10.1109/INCITE.2016.7857612","DOIUrl":null,"url":null,"abstract":"Localization in Mobile Sensor Network presents, a never seen before challenge in this modern era. Localization algorithms somehow able to manage to solve the problem in a practical deployment. The following dossier article comes up with an idea to solve the trilateration problem. We propose Fuzzy Based Eminence of Trilateration (FBEOT) that helps in defining an efficient and dynamic mapping of nodes and relationship among ranging noise factor with objects. It is specific in FBEOT, that we design a dynamic Fuzzy optimization localization method, in which the most efficient and powerful node is selected for trilaterations process of localization in sensor network. To confirm this Dynamic Framework, combination of fuzzy optimization & TDOA technique with an efficient protocol is used. FBEOT is suitable in calculating trilateration accuracy factor and also the proposed localization method significantly improves localization performances.","PeriodicalId":59618,"journal":{"name":"下一代","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"下一代","FirstCategoryId":"1092","ListUrlMain":"https://doi.org/10.1109/INCITE.2016.7857612","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
Localization in Mobile Sensor Network presents, a never seen before challenge in this modern era. Localization algorithms somehow able to manage to solve the problem in a practical deployment. The following dossier article comes up with an idea to solve the trilateration problem. We propose Fuzzy Based Eminence of Trilateration (FBEOT) that helps in defining an efficient and dynamic mapping of nodes and relationship among ranging noise factor with objects. It is specific in FBEOT, that we design a dynamic Fuzzy optimization localization method, in which the most efficient and powerful node is selected for trilaterations process of localization in sensor network. To confirm this Dynamic Framework, combination of fuzzy optimization & TDOA technique with an efficient protocol is used. FBEOT is suitable in calculating trilateration accuracy factor and also the proposed localization method significantly improves localization performances.
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