Indoor localization for IoT applications using fingerprinting
- Publication Type:
- Conference Proceeding
- IEEE World Forum on Internet of Things, WF-IoT 2018 - Proceedings, 2018, 2018-January pp. 736 - 741
- Issue Date:
Files in This Item:
|Indoor localization for IoT applications using fingerprinting_am.pdf||Accepted Manuscript version||489.69 kB|
Copyright Clearance Process
- Recently Added
- In Progress
- Open Access
This item is currently unavailable due to the publisher's embargo.
The embargo period expires on 4 May 2020
© 2018 IEEE. Fingerprinting method is one of the preferred method used for indoor localization using Wi-Fi signals because of its low complexity and its cost effectiveness. This paper proposes an indoor localization algorithm using fingerprinting method that is suitable for an indoor IoT application. The proposed algorithm combines the location estimates from two different approaches, deterministic and probabilistic, to estimate the target location. The proposed algorithm was tested for different conditions: Stationary and moving IoT targets, line-of-sight and non-line-of-sight indoor environments. The results showed the proposed combined algorithm performed better in terms of localization accuracy, precision and robustness than deterministic and probabilistic methods individually and similar past research.
Please use this identifier to cite or link to this item: