Indoor Localization using Wireless Fidelity (WiFi) and Bluetooth Low Energy (BLE) signals
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.
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Both Bluetooth and Wi-Fi signals have been widely used for indoor localization particularly for older age groups, in assisting their living quality and also the emergency response.
“Both Bluetooth and Wi-Fi signals have been widely used for indoor localization particularly for older age groups, in assisting their living quality and also the emergency response [180,181].”
From Human-centred artificial intelligence for mobile health sensing: challenges and opportunities (2023) · cites this paper as [180]
Cites
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Human-centred artificial intelligence for mobile health sensing: challenges and opportunities
Dang, T., Spathis, D., Ghosh, A., & Mascolo, C. (2023) · Royal Society Open Science · doi:10.1098/rsos.230806 · Cited by 30 · see citing works
- Authors
- Qureshi, U. M., Umair, Z., & Hancke, G. P.
- Affiliations
- City University of Hong Kong (HK)
- Venue
- 2019 IEEE 28th International Symposium on Industrial Electronics (ISIE)
- Publisher
- IEEE
- Published
- 2019-06
- Pages
- 2232-2237
- OpenAlex
- W2964465489
- Cited by
- 18
- References
- 13
- Citations by year
- 2025: 3 · 2024: 2 · 2023: 5 · 2022: 3 · 2021: 3 · 2020: 1 · 2019: 1
- FWCI
- 3.18
- Type
- conference paper
- Language
- en
- Open access
- closed
- Licence
- Locations
- IEEE International Symposium on Industrial Electronics (ISIE) (publishedVersion)
- ResearchOnline - JCU (James Cook University) (submittedVersion)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Indoor and Outdoor Localization Technologies
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Optical Wireless Communication Technologies
- Social Sciences › Transportation › Human Mobility and Location-Based Analysis
- Keywords
- indoor positioning, Wi-Fi, Bluetooth Low Energy, fingerprinting localization, signal stability
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