A mutual information based online access point selection strategy for WiFi indoor localization

Han Zou, Yiwen Luo, Xiaoxuan Lu, Hao Jiang, Lihua Xie

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

WiFi based Indoor Positioning System (IPS) has become the most popular and practical system to provide Location Based Service (LBS) in indoor environments due to the availability of massive existing WiFi network infrastructures in buildings. WiFi based IPSs leverage received signal strengths (RSSs) from large numbers of WiFi access points (APs) and estimate the location of clients. Proper AP selection methods are required to select a subset of APs that provide useful information for localization in order to reduce the computational load and preserve or even enhance the localization accuracy of the entire IPS. Existing approaches select and measure the discriminative ability of APs individually during the offline phase without the consideration of the dependence among them. In this paper, based on mutual information of APs, we present online mutual information (OnlineMI), a novel AP selection strategy that measures the collective discriminative ability among APs. Furthermore, the proposed AP selection process is conducted online to adapt various environmental dynamics. Weighted k nearest neighbor (WKNN) approach is further employed as the localization algorithm after the OnlineMI AP selection strategy. Extensive experiments are carried out, and performance evaluation and comparison with existing methods demonstrates the superiority of the proposed OnlineMI-WKNN approach.
Original languageEnglish
Title of host publication2015 IEEE International Conference on Automation Science and Engineering (CASE)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages180-185
Number of pages6
ISBN (Electronic)978-1-4673-8183-3
ISBN (Print)978-1-4673-8182-6
DOIs
Publication statusPublished - 8 Oct 2015
Event11th IEEE International Conference on Automation Science and Engineering - Gothenburg, Sweden
Duration: 24 Aug 201528 Aug 2015
http://case2015.org/

Publication series

Name
PublisherIEEE
ISSN (Print)2161-8070
ISSN (Electronic)2161-8089

Conference

Conference11th IEEE International Conference on Automation Science and Engineering
Abbreviated titleCASE 2015
CountrySweden
CityGothenburg
Period24/08/1528/08/15
Internet address

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