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Data Fusion in the Air With Non-Identical Wireless Sensors
Univ Gävle, Dept Elect Math & Nat Sci, S-80176 Gävle, Sweden..
Univ Gävle, Dept Elect Math & Nat Sci, S-80176 Gävle, Sweden..
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Information Science and Engineering.ORCID iD: 0000-0002-3599-5584
2019 (English)In: IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS, ISSN 2373-776X, Vol. 5, no 4, p. 646-656Article in journal (Refereed) Published
Abstract [en]

In this paper, a multi-hypothesis distributed detection technique with non-identical local detectors is investigated. Here, for a global event, some of the sensors/detectors can observe the whole set of hypotheses, whereas the remaining sensors can either see only some aspects of the global event or infer more than one hypothesis as a single hypothesis. Another possible option is that different sensors provide complementary information. The local decisions are sent over a multiple access radio channel so that the data fusion is formed in the air before reaching the decision fusion center (DFC). An optimal energy fusion rule is formulated by considering the radio channel effects and the reliability of the sensors together, and a closed-form solution is derived. A receive beamforming algorithm, based on a modification of Lozano & x0027;s algorithm, is proposed to equalize the channel gains from different sensors. Sensors with limited detection capabilities are found to boost the overall system performance when they are used along with fully capable sensors. The additional transmit power used by these sensors is compensated by the designed fusion rule and the antenna array gain. Additionally, the DFC, equipped with a large antenna array, can reduce the overall transmit energy consumption without sacrificing the detection performance.

Place, publisher, year, edition, pages
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC , 2019. Vol. 5, no 4, p. 646-656
Keywords [en]
Temperature sensors, Manganese, Wireless sensor networks, Antenna arrays, Sensor fusion, Data integration, Wireless Sensor Network, Multiple hypotheses, Non-identical local detector, MAC, Data Fusion in the air, Optimal power fusion rule, Large antenna array
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:kth:diva-264156DOI: 10.1109/TSIPN.2019.2928175ISI: 000492993200003Scopus ID: 2-s2.0-85074191069OAI: oai:DiVA.org:kth-264156DiVA, id: diva2:1376848
Note

QC 20191210

Available from: 2019-12-10 Created: 2019-12-10 Last updated: 2019-12-10Bibliographically approved

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