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Distributed Detection with Non-identicalWireless Sensors for Industrial Applications
KTH, School of Electrical Engineering and Computer Science (EECS), Information Science and Engineering.
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics..ORCID iD: 0000-0001-5429-7223
KTH, School of Electrical Engineering (EES), Information Science and Engineering.ORCID iD: 0000-0002-3599-5584
2019 (English)In: Proc. IEEE International Conference on Industrial Technology (ICIT) 2019, 2019Conference paper, Published paper (Refereed)
Abstract [en]

There has been very little exploration when itcomes to design distributed detection techniques and datafusion rules with non-identical sensors. This concept can beutilized in many possible applications within industrial automation,surveillance and safety. Here, for a global event,some of the sensors/detectors in the network can observethe full set of the hypotheses, whereas the remaining sensorsinfer more than one hypotheses as a single hypothesis. Thelocal decisions are sent to the decision fusion center (DFC)over a multiple access wireless channel. In this paper, afusion rule based on minimization of variance of the localmis-detection is proposed. The presence of sensors withlimited detection capabilities is found to have a positiveimpact on the overall system performance, both in terms ofprobability of detection and transmit power consumption.Additionally, when the DFC is equipped with a largeantenna array, the overall transmit power consumption canbe reduced without sacrificing the detection performance.

Place, publisher, year, edition, pages
2019.
Keywords [en]
Wireless sensor networks, Distributed detection
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:kth:diva-259010DOI: 10.1109/ICIT.2019.8755012OAI: oai:DiVA.org:kth-259010DiVA, id: diva2:1350543
Conference
2019 IEEE International Conference on Industrial Technology (ICIT)
Available from: 2019-09-11 Created: 2019-09-11 Last updated: 2019-09-11

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Panigrahi, Smruti RanjanBjörsell, NiclasBengtsson, Mats
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  • apa
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  • ieee
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  • Other locale
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Output format
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  • asciidoc
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