{"title":"AENS: Accurate and Efficient Mobile Phone Indoor Navigation System without WiFi","authors":"Zhiyuan Xu, Ruijin Wang, Fan Li, Yaodong Huang","doi":"10.1109/DASC.2013.33","DOIUrl":null,"url":null,"abstract":"As the indoor location-based services are widely used in daily life, we all call for precise localization and low energy consumption application. Besides, getting location information in a short response time remains a problem in indoor navigation. In this paper, we present an accurate and efficient indoor navigation system called AENS, which only needs available sensors in off-the-shelf smartphones such as accelerometer and gyroscope, completely avoid using energy hungry WiFi module. Combined with simple local map information, AENS is able to guide user to find destinations. The System utilizes those sensors to do Dead-Reckoning dynamically and in real-time, then fitting the predicted trajectories to the map information. We evaluate the system in our university library. The result shows that AENS successfully guides the tester to the specified destination, and for every critical node the average localization error is within one-meter.","PeriodicalId":179557,"journal":{"name":"2013 IEEE 11th International Conference on Dependable, Autonomic and Secure Computing","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE 11th International Conference on Dependable, Autonomic and Secure Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DASC.2013.33","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
As the indoor location-based services are widely used in daily life, we all call for precise localization and low energy consumption application. Besides, getting location information in a short response time remains a problem in indoor navigation. In this paper, we present an accurate and efficient indoor navigation system called AENS, which only needs available sensors in off-the-shelf smartphones such as accelerometer and gyroscope, completely avoid using energy hungry WiFi module. Combined with simple local map information, AENS is able to guide user to find destinations. The System utilizes those sensors to do Dead-Reckoning dynamically and in real-time, then fitting the predicted trajectories to the map information. We evaluate the system in our university library. The result shows that AENS successfully guides the tester to the specified destination, and for every critical node the average localization error is within one-meter.