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General Information
    • ISSN: 1793-8244
    • Frequency: Semiyearly
    • DOI: 10.18178/JACN
    • Editor-in-Chief: Dr. Ka Wai Gary Wong
    • Executive Editor: Ms. Nina Lee
    • Abstracting/ Indexing: EI (INSPEC, IET),  Electronic Journals Library, Ulrich's Periodicals Directory, EBSCO, ProQuest, and Google Scholar.
    • E-mail: jacn@ejournal.net
Dr. Ka Wai Gary Wong
Division of Information and Technology Studies, Faculty of Education, The University of Hong Kong.
It's a honor to serve as the editor-in-chief of JACN. I'll work together with the editors and reviewers to help the journal progress
JACN 2016 Vol.4(2): 121-124 ISSN: 1793-8244
DOI: 10.18178/JACN.2016.4.2.215

Wi-Fi Fingerprint Localization Using RSSI-Probability Radio Map and AP Weight Clustering

Peng Tang, Zhiqing Huang, Jun Lei, and Yue Guo
Abstract—In this paper, we proposed a RSSI-Probability transformation algorithm for radio map construction that improves positioning accuracy and AP (Access Point) weight clustering that reduces the computational burden. To verify the performance, we developed a positioning system called LocNeedle. The experimental results show that our algorithm achieves good localization accuracy and reduces computational burden of online phase.

Index Terms—Wi-Fi fingerprint localization, RSSI probability distribution, AP weight clustering.

Peng Tang, Zhiqing Huang and Jun Lei are with the School of Software Engineering at Beijing University of Technology, Chaoyang District, Beijing China, 100124 (e-mail: tangpeng_tp@emails.bjut.edu.cn, zqhuang@bjut.edu.cn, jun_lei@emails.bjut.edu.cn).
Yue Guo is with Patent Office at Patent Examination Cooperation, Tianjin Center, SIPO, China (e-mail: 379141904@qq.com).


Cite:Peng Tang, Zhiqing Huang, Jun Lei, and Yue Guo, "Wi-Fi Fingerprint Localization Using RSSI-Probability Radio Map and AP Weight Clustering," Journal of Advances in Computer Networks vol. 4, no. 2, pp. 121-124, 2016.

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