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Authors: Pawel Gburzynski 1 ; Wlodek Olesinski 2 and Jasmien Van Vooren 3

Affiliations: 1 Vistula University, Olsonet Communications Corporation and Sendronet, Poland ; 2 Olsonet Communications Corporation, Canada ; 3 Alphatronics, Belgium

ISBN: 978-989-758-196-0

Keyword(s): Wireless Sensor Networks, Real-time Location Tracking, Ad-hoc Networking.

Related Ontology Subjects/Areas/Topics: Data Communication Networking ; Network Applications (Web, Multimedia Streaming, Gaming, Etc.) ; Network Protocols ; Sensor Nets and Embedded Systems ; Telecommunications

Abstract: We present an indoor location tracking system (RTLS) based on a wireless sensor network (WSN) where the received signal strength (RSS) readings collected by immobile nodes (Pegs) from mobile (tracked) nodes (Tags) are translated into location estimates for the Tags. The process employs a database of samples previously collected from known locations; thus, the scheme falls into the category of profile-based solutions, with RSS readings being the only kind of input to the estimator. Compared to other schemes hinged on the same general idea, the novelty of our approach consists in systematically taking advantage of multiple transmit power levels at the Tags. This allows us to effectively emulate RFID-type of operation, when a nearby Peg can authoritatively identify the location by perceiving a weak signal from the Tag (indicative of the Tag’s immediate proximity), while otherwise falling back to elaborate fitting of multiple readings (collected by several Pegs) to produce a (possibly app roximate) location estimate. The location service of our network is an add on to its other duties which consist in providing connectivity within an independent living (IL) facility for the purpose of inconspicuously monitoring the patients, detecting anomalies, signaling alarms, and so on. (More)

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Paper citation in several formats:
Gburzynski, P.; Gburzynski, P.; Olesinski, W. and Van Vooren, J. (2016). A WSN-based, RSS-driven, Real-time Location Tracking System for Independent Living Facilities.In Proceedings of the 13th International Joint Conference on e-Business and Telecommunications - Volume 1: DCNET, (ICETE 2016) ISBN 978-989-758-196-0, pages 64-71. DOI: 10.5220/0005959000640071

@conference{dcnet16,
author={Pawel Gburzynski. and Pawel Gburzynski. and Wlodek Olesinski. and Jasmien Van Vooren.},
title={A WSN-based, RSS-driven, Real-time Location Tracking System for Independent Living Facilities},
booktitle={Proceedings of the 13th International Joint Conference on e-Business and Telecommunications - Volume 1: DCNET, (ICETE 2016)},
year={2016},
pages={64-71},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005959000640071},
isbn={978-989-758-196-0},
}

TY - CONF

JO - Proceedings of the 13th International Joint Conference on e-Business and Telecommunications - Volume 1: DCNET, (ICETE 2016)
TI - A WSN-based, RSS-driven, Real-time Location Tracking System for Independent Living Facilities
SN - 978-989-758-196-0
AU - Gburzynski, P.
AU - Gburzynski, P.
AU - Olesinski, W.
AU - Van Vooren, J.
PY - 2016
SP - 64
EP - 71
DO - 10.5220/0005959000640071

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