Fast setup and robust WiFi localization for the exhibition industry

Victor C.W. Cheng, Hao Li, Joseph K Y NG, Kwok Wai CHEUNG

Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

With the prevalence of WiFi devices (e.g., smartphones), many new business opportunities are being spawned by exploiting the routes or locations of users. Nevertheless, most current approaches based on received signal strength indicator (RSSI) usually assume that the targeted (tracked) devices have the transmission characteristics similar to the devices used for system training. This is far from the reality and may lead to considerable errors. We propose a robust localization approach which automatically infers a customized signal-strength-to-distance function for every device on-the-fly, and simultaneously estimates the location of it. This is achieved by first approximating the function with a set of piecewise linear functions, for each targeted device, and the parameters of the linear functions are updated, with an Expectation Maximum (EM) algorithm, when more and more RSSI data of the device are available. Specifically, during the expectation step of the EM algorithm, the location of the targeted device is estimated. Whereas in the maximization step of the algorithm, the parameters of the linear functions customized for that device are updated. As the approach is capable of learning the parameters during localization, training process or system calibration is unnecessary and thus the system setup time can be shortened. This feature is practical for meeting the special needs of the exhibition industry: extremely tight schedules for setting up the site from scratch and extremely large venues. With our testbeds, experimental results show that the mean localization error can be kept about 1.7 meters for different mobile devices with different transmission characteristics. A real-world test at Hong Kong Convention and Exhibition Centre (HKCEC) was also conducted and various mobile devices can be tracked accurately with little setup time.

Original languageEnglish
Title of host publicationProceedings - 32nd IEEE International Conference on Advanced Information Networking and Applications, AINA 2018
EditorsLeonard Barolli, Tomoya Enokido, Marek R. Ogiela, Lidia Ogiela, Nadeem Javaid, Makoto Takizawa
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages472-479
Number of pages8
ISBN (Print)9781538621943
DOIs
Publication statusPublished - 9 Aug 2018
Event32nd IEEE International Conference on Advanced Information Networking and Applications, AINA 2018 - Krakow, Poland
Duration: 16 May 201818 May 2018

Publication series

NameProceedings - International Conference on Advanced Information Networking and Applications, AINA
Volume2018-May
ISSN (Print)1550-445X

Conference

Conference32nd IEEE International Conference on Advanced Information Networking and Applications, AINA 2018
Country/TerritoryPoland
CityKrakow
Period16/05/1818/05/18

Scopus Subject Areas

  • Engineering(all)

User-Defined Keywords

  • Location based services
  • WiFi localization
  • Wireless sensor networks

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