| Title | Accurate WiFi Based Localization for Smartphones Using Peer Assistance |
| Authors | Liu, Hongbo Yang, Jie Sidhom, Simon Wang, Yan Chen, Yingying Ye, Fan |
| Affiliation | IUPUI, Dept Comp Informat & Graph Technol, Indianapolis, IN 46222 USA. Stevens Inst Technol, Dept Elect & Comp Engn, Hoboken, NJ 07030 USA. Florida State Univ, Dept Comp Sci, Tallahassee, FL 32306 USA. Stevens Inst Technol, Dept Comp Sci, Hoboken, NJ 07030 USA. Peking Univ, EECS Sch, Ctr Energy Efficient Comp & Applicat, Beijing 10087, Peoples R China. |
| Keywords | Smartphone peer assisted localization WiFi fingerprint localization |
| Issue Date | 2014 |
| Publisher | ieee transactions on mobile computing |
| Citation | IEEE TRANSACTIONS ON MOBILE COMPUTING.2014,13,(10),2199-2214. |
| Abstract | Highly accurate indoor localization of smartphones is critical to enable novel location based features for users and businesses. In this paper, we first conduct an empirical investigation of the suitability of WiFi localization for this purpose. We find that although reasonable accuracy can be achieved, significant errors (e.g., 6 similar to 8m) always exist. The root cause is the existence of distinct locations with similar signatures, which is a fundamental limit of pure WiFi-based methods. Inspired by high densities of smartphones in public spaces, we propose a peer assisted localization approach to eliminate such large errors. It obtains accurate acoustic ranging estimates among peer phones, then maps their locations jointly against WiFi signature map subjecting to ranging constraints. We devise techniques for fast acoustic ranging among multiple phones and build a prototype. Experiments show that it can reduce the maximum and 80-percentile errors to as small as 2m and 1m, in time no longer than the original WiFi scanning, with negligible impact on battery lifetime. |
| URI | http://hdl.handle.net/20.500.11897/208631 |
| ISSN | 1536-1233 |
| DOI | 10.1109/TMC.2013.140 |
| Indexed | SCI(E) EI |
| Appears in Collections: | 信息科学技术学院 |
