{"title":"Implementation and analysis of Hybrid Wireless Indoor Positioning with iBeacon and Wi-Fi","authors":"Ching-Chieh Chiu, Jen-Chieh Hsu, Jenq-Shiou Leu","doi":"10.1109/ICUMT.2016.7765336","DOIUrl":null,"url":null,"abstract":"Nowadays, there is an increasing requirement for indoor position and navigation with location based services (LBSs). Many applications on smartphones exploit different techniques and inputs for positioning. However, the indoor environment is complex so that the accuracy of indoor position is affected easily by servals signal interference. In this paper, we propose a hybrid system assisted by the RSS fingerprint and utilize iBeacon to assist Wi-Fi indoor positioning. In this hybrid system, Wi-Fi APs can divide the space into different sections, and iBeacon can accurately locate where you are in the indoor environment. The experiment results show that our proposed hybrid system can achieve a certain level of accuracy in the environments, and can be a good candidate for localization in the mobile application.","PeriodicalId":174688,"journal":{"name":"2016 8th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"19","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 8th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICUMT.2016.7765336","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 19
Abstract
Nowadays, there is an increasing requirement for indoor position and navigation with location based services (LBSs). Many applications on smartphones exploit different techniques and inputs for positioning. However, the indoor environment is complex so that the accuracy of indoor position is affected easily by servals signal interference. In this paper, we propose a hybrid system assisted by the RSS fingerprint and utilize iBeacon to assist Wi-Fi indoor positioning. In this hybrid system, Wi-Fi APs can divide the space into different sections, and iBeacon can accurately locate where you are in the indoor environment. The experiment results show that our proposed hybrid system can achieve a certain level of accuracy in the environments, and can be a good candidate for localization in the mobile application.