{"title":"基于指纹技术的Wi-Fi室内定位方法","authors":"Houria Chabbar, Mouhcine Chami","doi":"10.1109/WITS.2017.7934613","DOIUrl":null,"url":null,"abstract":"In recent years, the mobility market has experienced a phenomenal growth in the productivity of electronic equipment and development of new telecommunication services. This has given birth to the idea of providing services based on the user's position in several sectors. Although Global Positioning System (GPS) considered as the best solution for an open-air localization (Outdoor), it is inaccurate in urbanized and indoor environments and adaptation of such systems to those contexts are particularly challenging due to the disability of GPS signal to penetrate buildings because it needs to be in sight. Various indoor localization techniques were conducted to provide the best solution to deploy. This paper describes an implementation of Wi-Fi fingerprinting method using RSSI (Received Signal Strength Indicator) from access points to determine the position of users in indoor areas.","PeriodicalId":147797,"journal":{"name":"2017 International Conference on Wireless Technologies, Embedded and Intelligent Systems (WITS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"20","resultStr":"{\"title\":\"Indoor localization using Wi-Fi method based on Fingerprinting Technique\",\"authors\":\"Houria Chabbar, Mouhcine Chami\",\"doi\":\"10.1109/WITS.2017.7934613\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In recent years, the mobility market has experienced a phenomenal growth in the productivity of electronic equipment and development of new telecommunication services. This has given birth to the idea of providing services based on the user's position in several sectors. Although Global Positioning System (GPS) considered as the best solution for an open-air localization (Outdoor), it is inaccurate in urbanized and indoor environments and adaptation of such systems to those contexts are particularly challenging due to the disability of GPS signal to penetrate buildings because it needs to be in sight. Various indoor localization techniques were conducted to provide the best solution to deploy. This paper describes an implementation of Wi-Fi fingerprinting method using RSSI (Received Signal Strength Indicator) from access points to determine the position of users in indoor areas.\",\"PeriodicalId\":147797,\"journal\":{\"name\":\"2017 International Conference on Wireless Technologies, Embedded and Intelligent Systems (WITS)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-04-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"20\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Conference on Wireless Technologies, Embedded and Intelligent Systems (WITS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WITS.2017.7934613\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Wireless Technologies, Embedded and Intelligent Systems (WITS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WITS.2017.7934613","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Indoor localization using Wi-Fi method based on Fingerprinting Technique
In recent years, the mobility market has experienced a phenomenal growth in the productivity of electronic equipment and development of new telecommunication services. This has given birth to the idea of providing services based on the user's position in several sectors. Although Global Positioning System (GPS) considered as the best solution for an open-air localization (Outdoor), it is inaccurate in urbanized and indoor environments and adaptation of such systems to those contexts are particularly challenging due to the disability of GPS signal to penetrate buildings because it needs to be in sight. Various indoor localization techniques were conducted to provide the best solution to deploy. This paper describes an implementation of Wi-Fi fingerprinting method using RSSI (Received Signal Strength Indicator) from access points to determine the position of users in indoor areas.