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  5. Lighthouse: Precise 802.11-based Localization
 
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Lighthouse: Precise 802.11-based Localization

Author(s)
Siddig, Abubakr  
Makki, Ahmed  
Bleakley, Chris J.  
Uri
http://hdl.handle.net/10197/5216
Date Issued
2013-10
Date Available
2014-01-09T08:51:12Z
Abstract
This paper proposes a novel approach to the problem of indoor location estimation based on IEEE 802.11 (WiFi) signals. The approach uses a rotating directional antenna at the Access Point (AP). The Mobile Device (MD) measures the variation of Received Signal Strength Indication (RSSI) with antenna Direction Of Emission (DOE). The observed DOE-RSSI signature is used as a fingerprint to search a map of previously measured DOE-RSSI signatures. The method has the advantage that it works with existing 802.11 cards and that it provides higher accuracy, for the same number of APs, than the conventional RSSI fingerprinting technique based on maps obtained using multiple omnidirectional APs. We report results obtained from an experimental testbed deployed in a typical office space. The Lighthouse algorithm achieved 85% and 95% success ratio in MD localisation over 20 possible positions using one AP and two APs, respectively. The success ratio achieved is, on average, +24% and +53% better than the conventional RSSI fingerprinting and directional beaconing methods, respectively.
Other Sponsorship
Science Foundation Ireland
Type of Material
Conference Publication
Publisher
IEEE
Copyright (Published Version)
2013, IEEE
Subjects

IEEE 802.11

Direction of emission...

Indoor localization

Positioning

Wireless

DOI
10.1109/IPIN.2013.6817914
Language
English
Status of Item
Peer reviewed
Conference Details
4th Indoor Positioning and Indoor Navigation (IPIN), Montbeliard, France, 28-31st October, 2013
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
File(s)
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Name

Camera_Ready_-_Lighthouse.pdf

Size

5.13 MB

Format

Adobe PDF

Checksum (MD5)

cf95c8cb9214d4b2d89f0e44c8a2235a

Owning collection
Computer Science Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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