Indoor Localization using Wireless Fidelity (WiFi) and Bluetooth Low Energy (BLE) signals

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

8 Scopus Citations
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Detail(s)

Original languageEnglish
Title of host publicationProceedings - 2019 IEEE 28th International Symposium on Industrial Electronics
PublisherIEEE
Pages2232-2237
ISBN (Electronic)978-1-7281-3666-0
Publication statusPublished - Jun 2019

Publication series

NameIEEE International Symposium on Industrial Electronics
Volume2019-June

Conference

Title28th IEEE International Symposium on Industrial Electronics (ISIE 2019)
LocationPinnacle Hotel Harbourfront
PlaceCanada
CityVancouver
Period12 - 14 June 2019

Abstract

In this paper, we exploit the wireless signals of the two most common wireless standard used in indoor environments i.e. Wireless Fidelity (WiFi) and Bluetooth Low Energy (BLE) for localization application. We demonstrate that by inferring wireless signals, we can keep a track of localization that can provide key performance indicators in maintaining a healthy and active life of elderlies. As WiFi and BLE operate at multiple transmission power levels, the localization accuracy can vary. In this regard, we investigate the feasibility of the WiFi and BLE wireless signals in tracking the location of an elderly in a cluttered home environment. We use fingerprinting localization algorithm for location estimation. We first demonstrate that both wireless standards can be used for indoor localization. We further present the results for localization estimated from multiple transmission power levels for WiFi and BLE. The results show WiFi signals to be more stable compared to BLE signals. However, despite operating at much low transmission power levels BLE provides comparable results that are sufficient for locating elderlies in an indoor environment.

Research Area(s)

  • Activity Monitoring, Indoor Localization, Location Tracking, Position Estimation, Wireless Fingerprinting

Citation Format(s)

Indoor Localization using Wireless Fidelity (WiFi) and Bluetooth Low Energy (BLE) signals. / Qureshi, Umair Mujtaba; Umair, Zuneera; Hancke, Gerhard P.

Proceedings - 2019 IEEE 28th International Symposium on Industrial Electronics. IEEE, 2019. p. 2232-2237 8781189 (IEEE International Symposium on Industrial Electronics; Vol. 2019-June).

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review