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Mathematical Problems in Engineering - Volume 2014 2014, Article ID 673159, 17 pages -

Research Article

Chongqing Key Lab of Mobile Communications Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China

Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong

Graduate Telecommunications and Networking Program, The University of Pittsburgh, Pittsburgh, PA 15260, USA

China Internet Research Lab, China Science and Technology Network, Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China

Received 26 October 2013; Revised 18 January 2014; Accepted 19 January 2014; Published 17 March 2014

Academic Editor: Cristian Toma

Copyright © 2014 Mu Zhou et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Path tracking in wireless and mobile environments is a fundamental technology for ubiquitous location-based services LBSs. In particular, it is very challenging to develop highly accurate and cost-efficient tracking systems applied to the anonymous areas where the floor plans are not available for security and privacy reasons. This paper proposes a novel path tracking approach for large Wi-Fi areas based on the time-stamped unlabeled mobility map which is constructed from Smith-Waterman received signal strength RSS measurement matching. Instead of conventional location fingerprinting, we construct mobility map with the technique of dimension reduction from the raw measurement space into a low-dimensional embedded manifold. The feasibility of our proposed approach is verified by the real-world experiments in the HKUST campus Wi-Fi networks, sMobileNet. The experimental results prove that our approach is adaptive and capable of achieving an adequate precision level in path tracking.

Autor: Mu Zhou, Zengshan Tian, Kunjie Xu, Haibo Wu, Qiaolin Pu, and Xiang Yu



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