Conference Proceedings


Chris Bleakley
Ahmed Makki
Abubakr Siddig


Computer Science

location estimation wlan direction of emission wifi positioning ieee indoor localization

Lighthouse: Accurate 802.11 Localization using Directional Beacon Fingerprinting (2015)

Abstract In this paper, we propose a novel method for indoor location estimation using an unmodified mobile device (MD) in an IEEE 802.11 wireless local area network. In this method, Directional Beaconing is combined with Fingerprinting whereby the WiFi access points (APs) transmit a narrow beamwidth signal switching between a small number of fixed directions of emission (DOEs) and the MD records the received signal strength indicator (RSSI) for all in-range APs and all DOEs. These observations give a DOE-RSSI signatures at the MD for each AP. The location of the MD is determined using a K-Nearest Neighbor algorithm which finds the best matching DOE-RSSI signature in a pre-stored map. The method improves on previous omnidirectional fingerprinting methods by increasing the number of RSSI maps available per AP. A testbed network was deployed in an office building and its performance was evaluated. The results show a reduction in mean location error from 2.87 m to 1.64 m (43% improvement) for the proposed method compared with conventional omnidirectional RSSI fingerprinting, when using 3 APs in a positioning space of 12 m by 13.5 m.
Collections Ireland -> University College Dublin -> College of Science
Ireland -> University College Dublin -> School of Computer Science
Ireland -> University College Dublin -> Computer Science Research Collection

Full list of authors on original publication

Chris Bleakley, Ahmed Makki, Abubakr Siddig

Experts in our system

Chris Bleakley
University College Dublin
Total Publications: 105