Trace-back depth in distributed sensing HMM

C. Papatsimpa; J.P.M.G. Linnartz

doi:10.1109/PIMRC.2018.8580870

Trace-back depth in distributed sensing HMM

C. Papatsimpa, J.P.M.G. Linnartz

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

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This work addresses the problem of presence detection as Distributed Sensing of a Hidden Markov Model (DS-HMM). We propose an efficient communication strategy to limit sensor communication. For optimum detection under constrained communication, it does not suffice to just send only the latest sensor observations. It requires tracing back in the HMM algorithm to the latest moment that all data from all sensors was available. Alternatively, we investigate a more pragmatic approach, that is, to send a few recent observations in every message (packet) instead of the full history. The effect of unreliable communication, subject to channel erasure, is also investigated.

Originele taal-2	Engels
Titel	2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2018
Plaats van productie	Piscataway
Uitgeverij	Institute of Electrical and Electronics Engineers
Pagina's	582-583
Aantal pagina's	2
ISBN van elektronische versie	978-1-5386-6009-6
ISBN van geprinte versie	978-1-5386-6010-2
DOI's	https://doi.org/10.1109/PIMRC.2018.8580870
Status	Gepubliceerd - 18 dec. 2018
Evenement	29th IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2018 - Bologna, Italië Duur: 9 sep. 2018 → 12 sep. 2018 Congresnummer: 29 http://pimrc2018.ieee-pimrc.org/

Congres

Congres	29th IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2018
Verkorte titel	PIMRC 2018
Land/Regio	Italië
Stad	Bologna
Periode	9/09/18 → 12/09/18
Internet adres	http://pimrc2018.ieee-pimrc.org/

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10.1109/PIMRC.2018.8580870

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title = "Trace-back depth in distributed sensing HMM",

abstract = "This work addresses the problem of presence detection as Distributed Sensing of a Hidden Markov Model (DS-HMM). We propose an efficient communication strategy to limit sensor communication. For optimum detection under constrained communication, it does not suffice to just send only the latest sensor observations. It requires tracing back in the HMM algorithm to the latest moment that all data from all sensors was available. Alternatively, we investigate a more pragmatic approach, that is, to send a few recent observations in every message (packet) instead of the full history. The effect of unreliable communication, subject to channel erasure, is also investigated.",

keywords = "Distributed sensing, HMM, Sensor fusion",

author = "C. Papatsimpa and J.P.M.G. Linnartz",

year = "2018",

month = dec,

day = "18",

doi = "10.1109/PIMRC.2018.8580870",

language = "English",

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booktitle = "2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2018",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

note = "29th IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2018, PIMRC 2018 ; Conference date: 09-09-2018 Through 12-09-2018",

url = "http://pimrc2018.ieee-pimrc.org/",

}

Papatsimpa, C & Linnartz, JPMG 2018, Trace-back depth in distributed sensing HMM. in 2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2018., 8580870, Institute of Electrical and Electronics Engineers, Piscataway, blz. 582-583, 29th IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2018, Bologna, Italië, 9/09/18. https://doi.org/10.1109/PIMRC.2018.8580870

Trace-back depth in distributed sensing HMM. / Papatsimpa, C.; Linnartz, J.P.M.G.
2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2018. Piscataway: Institute of Electrical and Electronics Engineers, 2018. blz. 582-583 8580870.

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

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Trace-back depth in distributed sensing HMM

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