MMLOC: Multi-mode indoor localization system based on smart access points

Tuo Yu, Wenyu Ren, Klara Nahrstedt

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

Abstract

Indoor localization based on Wi-Fi fingerprints has been an active research topic for years. However, existing approaches do not consider the instability of access points (APs) which may be unreliable in practice, particularly the ones deployed by individual users. This instability impacts the localization accuracy severely, due to the unreliable or even wrong Wi-Fi fingerprints. Ideally, the localization should be done using only the well-deployed APs (e.g., deployed by facility teams). However, in many places the number of these APs is too few to achieve a good localization accuracy. To solve this problem, we leverage emerging smart APs equipped with multi-mode antennas, and build a new indoor localization system called MMLOC to reduce the number of necessary APs. The key idea is controlling the modes of AP antennas to generate more fingerprints with fewer APs. A clustering based localization strategy is designed to enable a mobile terminal to figure out the RSSI (Received Signal Strength Indicator) for different antenna modes without requiring any synchronization. We have implemented a prototype system using smart APs and commercial smartphones. Experimental results demonstrate that MMLOC can reduce the number of necessary APs by 50%, and achieve the same or even better localization accuracy.

Original languageEnglish (US)
Title of host publicationProceedings of the 16th EAI International Conference on Mobile and Ubiquitous Systems
Subtitle of host publicationComputing, Networking and Services, MobiQuitous 2019
PublisherAssociation for Computing Machinery
Pages473-482
Number of pages10
ISBN (Electronic)9781450372831
DOIs
StatePublished - Nov 12 2019
Event16th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MobiQuitous 2019 - Houston, United States
Duration: Nov 12 2019Nov 14 2019

Publication series

NameACM International Conference Proceeding Series

Conference

Conference16th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MobiQuitous 2019
CountryUnited States
CityHouston
Period11/12/1911/14/19

Keywords

  • Clustering
  • Indoor Localization
  • Smart Access Point

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

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  • Cite this

    Yu, T., Ren, W., & Nahrstedt, K. (2019). MMLOC: Multi-mode indoor localization system based on smart access points. In Proceedings of the 16th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MobiQuitous 2019 (pp. 473-482). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3360774.3360776