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dc.contributor.authorCiuonzo, Domenico
dc.contributor.authorSalvo Rossi, Pierluigi
dc.contributor.authorVarshney, Pramod K.
dc.date.accessioned2022-11-16T10:25:24Z
dc.date.available2022-11-16T10:25:24Z
dc.date.created2021-02-04T08:51:42Z
dc.date.issued2021
dc.identifier.citationIEEE Internet of Things Journal. 2021, 8 (11), 9059-9071.en_US
dc.identifier.issn2327-4662
dc.identifier.urihttps://hdl.handle.net/11250/3032124
dc.description.abstractIn this paper, we address the problem of distributed detection of a non-cooperative (unknown emitted signal) target with a Wireless Sensor Network (WSN). When the target is present, sensors observe an (unknown) deterministic signal with attenuation depending on the unknown distance between the sensor and the target, multiplicative fading, and additive Gaussian noise. To model energy-constrained operations within Internet of Things (IoT), one-bit sensor measurement quantization is employed and two strategies for quantization are investigated. The Fusion Center (FC) receives sensor bits via noisy Binary Symmetric Channels (BSCs) and provides a more accurate global inference. Such a model leads to a test with nuisances (i.e. the target position xT) observable only under H1 hypothesis. Davies framework is exploited herein to design the generalized forms of Rao and Locally-Optimum Detection (LOD) tests. For our generalized Rao and LOD approaches, a heuristic approach for threshold-optimization is also proposed. Simulation results confirm the promising performance of our proposed approaches.en_US
dc.language.isoengen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.titleDistributed Detection in Wireless Sensor Networks under Multiplicative Fading via Generalized Score-testsen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionacceptedVersionen_US
dc.rights.holder© IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en_US
dc.source.pagenumber9059-9071en_US
dc.source.volume8en_US
dc.source.journalIEEE Internet of Things Journalen_US
dc.source.issue11en_US
dc.identifier.doi10.1109/JIOT.2021.3056325
dc.identifier.cristin1886557
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode2


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