Bayesian-based localization in inhomogeneous transmission media: Proceedings of the 2013 Research in Adaptive and Convergent Systems, RACS 2013

E. S. Nadimi; V. Blanes-Vidal; P. M. Johansen

doi:10.1145/2513228.2513291

Bayesian-based localization in inhomogeneous transmission media: Proceedings of the 2013 Research in Adaptive and Convergent Systems, RACS 2013

E. S. Nadimi, V. Blanes-Vidal, P. M. Johansen

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

In this paper, we propose a novel robust probabilistic approach based on the Bayesian inference using received-signal-strength (RSS) measurements with varying path-loss exponent. We derived the probability density function (pdf) of the distance between any two sensors in the network with heterogeneous transmission medium as a function of the given RSS measurements and the characteristics of the heterogeneous medium. The results of this study show that the localization mean square error (MSE) of the Bayesian-based method outperformed all other existing localization approaches.

Original language	English
Title of host publication	Proceedings of the 2013 Research in Adaptive and Convergent Systems, RACS 2013
Number of pages	6
Publisher	Association for Computing Machinery
Publication date	2013
Pages	226-231
ISBN (Print)	978-145032348-2
DOIs	https://doi.org/10.1145/2513228.2513291
Publication status	Published - 2013
Event	Research in Adaptive and Convergent Systems - Montreal, Canada Duration: 1. Oct 2013 → 4. Oct 2013

Conference

Conference	Research in Adaptive and Convergent Systems
Country/Territory	Canada
City	Montreal
Period	01/10/2013 → 04/10/2013

Keywords

bayesian inference
heterogeneous RF transmission medium
wireless body-area sensor networks

Documents & Links

10.1145/2513228.2513291

http://www.scopus.com/inward/record.url?eid=2-s2.0-84891437561&partnerID=40&md5=d1a3ab5e83215b4d67f23af10fc8b428

Cite this

Nadimi, E. S., Blanes-Vidal, V., & Johansen, P. M. (2013). Bayesian-based localization in inhomogeneous transmission media: Proceedings of the 2013 Research in Adaptive and Convergent Systems, RACS 2013. In Proceedings of the 2013 Research in Adaptive and Convergent Systems, RACS 2013 (pp. 226-231). Association for Computing Machinery. https://doi.org/10.1145/2513228.2513291

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title = "Bayesian-based localization in inhomogeneous transmission media: Proceedings of the 2013 Research in Adaptive and Convergent Systems, RACS 2013",

abstract = "In this paper, we propose a novel robust probabilistic approach based on the Bayesian inference using received-signal-strength (RSS) measurements with varying path-loss exponent. We derived the probability density function (pdf) of the distance between any two sensors in the network with heterogeneous transmission medium as a function of the given RSS measurements and the characteristics of the heterogeneous medium. The results of this study show that the localization mean square error (MSE) of the Bayesian-based method outperformed all other existing localization approaches.",

keywords = "bayesian inference heterogeneous RF transmission medium wireless body-area sensor networks, bayesian inference, heterogeneous RF transmission medium, wireless body-area sensor networks",

author = "Nadimi, {E. S.} and V. Blanes-Vidal and Johansen, {P. M.}",

year = "2013",

doi = "10.1145/2513228.2513291",

language = "English",

isbn = "978-145032348-2",

pages = "226--231",

booktitle = "Proceedings of the 2013 Research in Adaptive and Convergent Systems, RACS 2013",

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address = "United States",

note = "Research in Adaptive and Convergent Systems ; Conference date: 01-10-2013 Through 04-10-2013",

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Nadimi, ES , Blanes-Vidal, V & Johansen, PM 2013, Bayesian-based localization in inhomogeneous transmission media: Proceedings of the 2013 Research in Adaptive and Convergent Systems, RACS 2013. in Proceedings of the 2013 Research in Adaptive and Convergent Systems, RACS 2013. Association for Computing Machinery, pp. 226-231, Research in Adaptive and Convergent Systems, Montreal, Canada, 01/10/2013. https://doi.org/10.1145/2513228.2513291

Bayesian-based localization in inhomogeneous transmission media: Proceedings of the 2013 Research in Adaptive and Convergent Systems, RACS 2013. / Nadimi, E. S.; Blanes-Vidal, V.; Johansen, P. M.
Proceedings of the 2013 Research in Adaptive and Convergent Systems, RACS 2013. Association for Computing Machinery, 2013. p. 226-231.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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T1 - Bayesian-based localization in inhomogeneous transmission media

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KW - wireless body-area sensor networks

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Bayesian-based localization in inhomogeneous transmission media: Proceedings of the 2013 Research in Adaptive and Convergent Systems, RACS 2013

Abstract

Conference

Keywords

Documents & Links

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