Energy efficient communication in smart building WSN running distributed Hidden Markov chain presence detection algorithm

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

4 Citaten (Scopus)
1 Downloads (Pure)

Samenvatting

Occupancy detection in smart buildings suffers from high sensor unreliability. The combination of data from multiple sensors can largely improve reliability. However, battery-powered sensor nodes have communication limitations. This paper addresses the problem of presence detection in a building as Distributed Sensing of a Hidden Markov Model (DS-HMM). Optimal solutions require excessive communication over a perfectly reliable channel. We propose and investigate an efficient transmission policy, jointly with a fusion algorithm, to merge data from various HMMs running separately on all sensor nodes. The algorithm showed improved performance and potential energy savings in a real world set-up, where user presence and sensor errors may not exactly follow idealized model assumptions.

Originele taal-2Engels
TitelIEEE World Forum on Internet of Things, WF-IoT 2018 - Proceedings
Plaats van productiePiscataway
UitgeverijInstitute of Electrical and Electronics Engineers
Pagina's112-117
Aantal pagina's6
ISBN van elektronische versie978-1-4673-9944-9
ISBN van geprinte versie978-1-4673-9945-6
DOI's
StatusGepubliceerd - 4 mei 2018
Evenement4th IEEE World Forum on Internet of Things, WF-IoT 2018: Smart Cites and Nations - Singapore, Singapore
Duur: 5 feb 20188 feb 2018
Congresnummer: 4
http://wfiot2018.iot.ieee.org/

Congres

Congres4th IEEE World Forum on Internet of Things, WF-IoT 2018
Verkorte titel(WF-IoT)
LandSingapore
StadSingapore
Periode5/02/188/02/18
Internet adres

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  • Citeer dit

    Papatsimpa, C., & Linnartz, J. P. M. G. (2018). Energy efficient communication in smart building WSN running distributed Hidden Markov chain presence detection algorithm. In IEEE World Forum on Internet of Things, WF-IoT 2018 - Proceedings (blz. 112-117). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/WF-IoT.2018.8355221