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Stevens Institute of Technology

Research Highlight


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June 6, 2012

Prof. Yingying Chen's group has a paper accepted in ACM Mobicom 2012 -

Push the Limit of WiFi based Localization for Smartphones

Hongbo Liu, Yu Gan, Jie Yang, Simon Sidhom, Yan Wang, Yingying Chen, Fan Ye

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  8m) always exist. The root cause is the existence of distinct locations with similar signatures, which is a fundamental limit of pure WiFibased 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.

For more information, please contact:

Yingying Chen
Associate Professor & NIS Graduate Program Director (RESEARCH INTERESTS: Cyber security, mobile computing, mobile healthcare, cognitive radio networks)
Burchard
Room 210
Phone: 201.216.8066
Fax: 201.216.8246
yingying.chen@stevens.edu

The Innovation University TM

mobi248_liu.pdf


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