{"title":"An effective tracking system based on Wi-Fi trajectory matching","authors":"N. Li, Yuchun Guo, Yishuai Chen","doi":"10.1109/ICASID.2015.7405684","DOIUrl":null,"url":null,"abstract":"This paper presents a tracking system based on trajectory matching in WiFi network. When a user equipment appears in the monitored area, the system continuously intercepts WiFi beacon messages which are periodically issued by the user's equipments for finding accessable WiFi access point (AP). The system then infers the user's trajectory based on the MAC address and received signal strength indication (RSSI) indicated in the beacon message. We propose an estimation method to match the received electronic signal series along a user's trajectory to the most possible one of the predefined paths. The method mainly uses the variance of RSSI to determine the user pedistrian path. We develop a system prototype and conduct extensive experiments in real experimental environment. The experimental results show that the success rate is up to 68%, which proves that the method is applicable. Our tracking system can be widely applied in miscellaneous public spaces for a variety of applications, e.g., public park navigation.","PeriodicalId":403184,"journal":{"name":"2015 IEEE 9th International Conference on Anti-counterfeiting, Security, and Identification (ASID)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE 9th International Conference on Anti-counterfeiting, Security, and Identification (ASID)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICASID.2015.7405684","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
This paper presents a tracking system based on trajectory matching in WiFi network. When a user equipment appears in the monitored area, the system continuously intercepts WiFi beacon messages which are periodically issued by the user's equipments for finding accessable WiFi access point (AP). The system then infers the user's trajectory based on the MAC address and received signal strength indication (RSSI) indicated in the beacon message. We propose an estimation method to match the received electronic signal series along a user's trajectory to the most possible one of the predefined paths. The method mainly uses the variance of RSSI to determine the user pedistrian path. We develop a system prototype and conduct extensive experiments in real experimental environment. The experimental results show that the success rate is up to 68%, which proves that the method is applicable. Our tracking system can be widely applied in miscellaneous public spaces for a variety of applications, e.g., public park navigation.