An environmental-adaptive Wi-Fi localization approach with low start-up cost for the exhibition industry

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

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

Abstract

With the prevalence of smartphones, many new business opportunities are being spawned by exploiting the locations or routes of the users. We propose a probabilistic Wi-Fi localization approach to meet the special needs of the exhibition industry: tight schedules, large venues and dynamic environment. Unlike the popular fingerprinting approach which requires extensive training time and the need for retraining, our approach has a much lower start-up cost which means that it doesn't need the labor-intensive training phase while having comparable accuracy for localization. This is achieved by employing a real-time calibration of signal degradation model, which also makes our localization model be adaptive to the dynamic environment. We also propose practical optimization techniques which can dynamically control the computational cost during device localization and hence more devices can be tracked. Experiments with our testbed show that our proposed approach can achieve acceptable and stable localization results in different environment based on real-time calibration. From other tests of our system in real-world exhibition event held in a venue having of 4,000 square meters, over half of the localization errors are within 4.5 meters.

Original languageEnglish
Title of host publicationProceedings - 2019 IEEE 25th International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728131979
DOIs
Publication statusPublished - Aug 2019
Event25th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2019 - Hangzhou, China
Duration: 18 Aug 201921 Aug 2019

Publication series

NameProceedings - 2019 IEEE 25th International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2019

Conference

Conference25th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2019
Country/TerritoryChina
CityHangzhou
Period18/08/1921/08/19

Scopus Subject Areas

  • Artificial Intelligence
  • Hardware and Architecture
  • Electrical and Electronic Engineering
  • Safety, Risk, Reliability and Quality
  • Instrumentation

User-Defined Keywords

  • Exhibition industry
  • Low start-up cost
  • Real-time calibration
  • Wi-Fi localization

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