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Improving Positioning Accuracy Using WLAN Optimization for Location Based Services and Cognitive Radio Networks

  • Sohaib Bin Altaf Khattak
  • , Min Jia*
  • , Qing Guo
  • , Xuemai Gu
  • *Corresponding author for this work
  • School of Electronics and Information Engineering, Harbin Institute of Technology
  • CETC Key Laboratory of Aerospace Information Applications

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Positioning information not only benefits the localization systems but also improve the performance of geo-location based cognitive radio (CR) networks. Most researchers focus on other aspects of CR and databases but rarely discuss the fact of how the positioning information can influence the performance of CR systems in indoor environments. WLAN is the most common technology used for indoor positioning. Optimization of WLAN access points (APs) can enhance accuracy of the localization systems. In this paper, we present an optimization algorithm for WLAN localization system. The proposed scheme estimates the optimal density of the APs required to meet the coverage demands and optimize their deployment to enhance the localization accuracy. One of our main contributions is the APs hearability-based reference points (RPs) clustering technique. Its uniqueness lies in the fact that not all installed APs participate in the localization process for all RPs. Finally, we analyze the variables governing the optimization process and the trade-off between cost, computation, and accuracy. Extensive simulations are conducted to validate the effectiveness of our algorithm. Our approach reduces the mean positioning error by 25% and the maximum error by 44% compared to the previous algorithm’s performance.

Original languageEnglish
Title of host publicationWireless and Satellite Systems - 12th EAI International Conference, WiSATS 2021, Proceedings
EditorsQing Guo, Weixiao Meng, Min Jia, Xue Wang
PublisherSpringer Science and Business Media Deutschland GmbH
Pages607-621
Number of pages15
ISBN (Print)9783030933975
DOIs
StatePublished - 2022
Externally publishedYes
Event12th International Conference on Wireless and Satellite Services, WiSATS 2021 - Virtual, Online
Duration: 31 Jul 20212 Aug 2021

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume410 LNICST
ISSN (Print)1867-8211
ISSN (Electronic)1867-822X

Conference

Conference12th International Conference on Wireless and Satellite Services, WiSATS 2021
CityVirtual, Online
Period31/07/212/08/21

Keywords

  • Access point
  • Cognitive radios
  • Geo-location database
  • Indoor localization
  • Location based services
  • WLAN optimization

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