Using wi-fi signal strength to localize in Wireless sensor networks

Eddie C.L. Chan; George Baciu; S. C. Mak

doi:10.1109/CMC.2009.233

Using wi-fi signal strength to localize in Wireless sensor networks

Eddie C.L. Chan, George Baciu, S. C. Mak

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

52 Citations (Scopus)

Abstract

Wireless sensor network (WSN) is widely used in many applications such as localization and real-time tracking system. Previous researches commonly suffer the line-of-sight (LOS) problem and dependence on contrast of the background light intensity. Location Fingerprinting (LF) method uses a training dataset of received signal strength (RSS) at different location to track the target. The drawbacks of LF method are needed to have extensive training dataset surveying and highly affected by the changing of internal building infrastructure. In this paper, a sensor-based LF method will be implemented to replace extensive site-surveying. Using a Kalman Filter tracks multiple points to characterize a trajectory. Our experimental result shows that the effectiveness of our method leads to have more accurate and effective tracking system.

Original language	English
Title of host publication	Proceedings - 2009 WRI International Conference on Communications and Mobile Computing, CMC 2009
Pages	538-542
Number of pages	5
Volume	1
DOIs	https://doi.org/10.1109/CMC.2009.233
Publication status	Published - 20 Apr 2009
Event	2009 WRI International Conference on Communications and Mobile Computing, CMC 2009 - Kunming, Yunnan, China Duration: 6 Jan 2009 → 8 Jan 2009

Conference

Conference	2009 WRI International Conference on Communications and Mobile Computing, CMC 2009
Country/Territory	China
City	Kunming, Yunnan
Period	6/01/09 → 8/01/09

ASJC Scopus subject areas

Computer Networks and Communications
Hardware and Architecture
Electrical and Electronic Engineering

More information

10.1109/CMC.2009.233

Cite this

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title = "Using wi-fi signal strength to localize in Wireless sensor networks",

abstract = "Wireless sensor network (WSN) is widely used in many applications such as localization and real-time tracking system. Previous researches commonly suffer the line-of-sight (LOS) problem and dependence on contrast of the background light intensity. Location Fingerprinting (LF) method uses a training dataset of received signal strength (RSS) at different location to track the target. The drawbacks of LF method are needed to have extensive training dataset surveying and highly affected by the changing of internal building infrastructure. In this paper, a sensor-based LF method will be implemented to replace extensive site-surveying. Using a Kalman Filter tracks multiple points to characterize a trajectory. Our experimental result shows that the effectiveness of our method leads to have more accurate and effective tracking system.",

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Chan, ECL, Baciu, G & Mak, SC 2009, Using wi-fi signal strength to localize in Wireless sensor networks. in Proceedings - 2009 WRI International Conference on Communications and Mobile Computing, CMC 2009. vol. 1, 4797055, pp. 538-542, 2009 WRI International Conference on Communications and Mobile Computing, CMC 2009, Kunming, Yunnan, China, 6/01/09. https://doi.org/10.1109/CMC.2009.233

Using wi-fi signal strength to localize in Wireless sensor networks. / Chan, Eddie C.L.; Baciu, George; Mak, S. C.

Proceedings - 2009 WRI International Conference on Communications and Mobile Computing, CMC 2009. Vol. 1 2009. p. 538-542 4797055.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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N2 - Wireless sensor network (WSN) is widely used in many applications such as localization and real-time tracking system. Previous researches commonly suffer the line-of-sight (LOS) problem and dependence on contrast of the background light intensity. Location Fingerprinting (LF) method uses a training dataset of received signal strength (RSS) at different location to track the target. The drawbacks of LF method are needed to have extensive training dataset surveying and highly affected by the changing of internal building infrastructure. In this paper, a sensor-based LF method will be implemented to replace extensive site-surveying. Using a Kalman Filter tracks multiple points to characterize a trajectory. Our experimental result shows that the effectiveness of our method leads to have more accurate and effective tracking system.

AB - Wireless sensor network (WSN) is widely used in many applications such as localization and real-time tracking system. Previous researches commonly suffer the line-of-sight (LOS) problem and dependence on contrast of the background light intensity. Location Fingerprinting (LF) method uses a training dataset of received signal strength (RSS) at different location to track the target. The drawbacks of LF method are needed to have extensive training dataset surveying and highly affected by the changing of internal building infrastructure. In this paper, a sensor-based LF method will be implemented to replace extensive site-surveying. Using a Kalman Filter tracks multiple points to characterize a trajectory. Our experimental result shows that the effectiveness of our method leads to have more accurate and effective tracking system.

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Using wi-fi signal strength to localize in Wireless sensor networks

Abstract

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ASJC Scopus subject areas

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