Distributed and centralized multisensor detection with misaligned sensors
Information Sciences—Intelligent Systems: An International Journal
Distributed Detection and Data Fusion
Distributed Detection and Data Fusion
Mathematical Techniques in Multisensor Data Fusion
Mathematical Techniques in Multisensor Data Fusion
Multisensor Data Fusion
A framework for multi-source data fusion
Information Sciences: an International Journal - Special issue: Soft computing data mining
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Information Sciences: an International Journal
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Information Sciences: an International Journal
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IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on human computing
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Automatica (Journal of IFAC)
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Information Sciences: an International Journal
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Information Sciences: an International Journal
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Information Sciences: an International Journal
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IEEE Transactions on Parallel and Distributed Systems
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IEEE Transactions on Parallel and Distributed Systems
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Information Sciences: an International Journal
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IEEE Transactions on Signal Processing
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IEEE Transactions on Signal Processing
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Information Sciences: an International Journal
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IEEE Transactions on Information Theory
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IEEE Transactions on Information Theory
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Information Sciences: an International Journal
Adaptive fault detection and diagnosis using an evolving fuzzy classifier
Information Sciences: an International Journal
Information Sciences: an International Journal
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Information Sciences: an International Journal
Bio-inspired enhancement of reputation systems for intelligent environments
Information Sciences: an International Journal
Enhancing community detection using a network weighting strategy
Information Sciences: an International Journal
Gaussian versus Uniform Distribution for Intrusion Detection in Wireless Sensor Networks
IEEE Transactions on Parallel and Distributed Systems
Detection of singular systems via a limited communication channel with missing measurements
Information Sciences: an International Journal
Information Sciences: an International Journal
Information Sciences: an International Journal
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Information Sciences: an International Journal
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Information Sciences: an International Journal
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Information Sciences: an International Journal
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Information Sciences: an International Journal
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A new adaptive decentralized soft decision combining rule for multiple-sensor distributed detection systems with data fusion is proposed. Unlike previously published rules, the proposed combining rule fuses soft decisions of sensors rather than hard decisions of sensors and does not require the knowledge of the false alarm and detection probabilities of the distributed sensors. Such a fusion rule is adaptive, insensitive to the instabilities of the sensor thresholds, and has the advantage of soft decision fusion. The proposed combination rule is derived: (1) for the case where the fusion center estimates the error probabilities of the sensors and (2) for the case where the fusion center does not estimate the error probabilities of the sensors. The performance of the proposed approach is evaluated, and illustrative examples are presented in the cases of Gaussian and Rayleigh distributed observations. Comparisons with the optimum centralized fusion, the optimum soft decision fusion, a soft decision fusion approach based on fusing confidence levels, and the optimum decentralized hard decision fusion are also presented. The results indicate that the proposed approach significantly outperforms the optimum decentralized hard decision fusion, is better than the approach based on fusing confidence levels, and has a performance similar to that of the optimum soft decision fusion.