Interoperable localization for mobile group users

Tian Wang, Wenhua Wang, Jiannong Cao, Md Zakirul Alam Bhuiyan, Yongxuan Lai, Yiqiao Cai, Hui Tian, Yonghong Chen, Baowei Wang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

4 Citations (Scopus)


This paper studies the problem of real-time wireless localization for mobile group users, which can be used in many applications such as fire rescue and safety management in construction sites. However, due to the mobility of users and the instability of wireless signals, we find that traditional localization methods do not perform well, and the localization accuracy is thus not acceptable. To solve this problem, we propose to localize mobile users by exploiting their interrelated information. The mutual distance information among the users are exploited to get better localization performance for all the users. We first theoretically prove that the proposed scheme can improve the localization probability and accuracy. Furthermore, an Interoperable Localization Method (ILM) is designed, which extends the Kalman filter to alleviate the influence of noisy and unstable wireless signals. Finally, extensive experimental results demonstrate that our method outperforms the fixed anchor-based methods by 20%–45% in terms of localization accuracy and 20%–50% in terms of localization probability.
Original languageEnglish
Pages (from-to)53-65
Number of pages13
JournalComputer Communications
Publication statusPublished - 1 Jun 2017


  • Interoperable localization
  • Kalman filter
  • Localization for mobile group users
  • Mobile localization
  • Wireless localization

ASJC Scopus subject areas

  • Computer Networks and Communications

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