Journal ArticleDOI
Distributed Detection in Wireless Sensor Networks Under Multiplicative Fading via Generalized Score Tests
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The generalized forms of Rao and locally optimum detection (LOD) tests are designed and a heuristic approach for threshold optimization is proposed and the simulation results confirm the promising performance of the proposed approaches.Abstract:
In this article, we address the problem of distributed detection of a noncooperative (unknown emitted signal) target with a wireless sensor network. When the target is present, sensors observe a (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, one-bit sensor measurement quantization is employed and two strategies for quantization are investigated. The fusion center receives sensor bits via noisy binary symmetric channels and provides a more accurate global inference. Such a model leads to a test with nuisances (i.e., the target position $\boldsymbol {x}_{T}$ ) observable only under $\mathcal {H}_{1}$ 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. The simulation results confirm the promising performance of our proposed approaches.read more
Citations
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Journal ArticleDOI
Federated Deep Learning for Cyber Security in the Internet of Things: Concepts, Applications, and Experimental Analysis
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Progress of IoT Research Technologies and Applications Serving Hajj and Umrah.
TL;DR: In this article, the authors conducted an analytical study for the technologies and their applications that have been applied in the Hajj and Umrah system, which is considered very special and urgent affecting around 20% of the humanities, i.e., Muslim people, whom try to be selected to perform Islamic rituals every year.
Journal ArticleDOI
Decomposed POMDP Optimization-Based Sensor Management for Multi-Target Tracking in Passive Multi-Sensor Systems
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Proceedings ArticleDOI
Generalized Locally Most Powerful Tests for Distributed Sparse Signal Detection
TL;DR: This paper designs the local quantization thresholds at the sensors by solving a 1-D optimization problem and derives generalized detectors based on Davies’ framework for the considered problem with the aim of obtaining computationally-efficient fusion rules.
Journal ArticleDOI
A Lightweight Intelligent Intrusion Detection Model for Wireless Sensor Networks
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References
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Journal ArticleDOI
Hypothesis testing when a nuisance parameter is present only under the alternative
TL;DR: In this article, the authors used a test derived from the corresponding family of test statistics appropriate for the case when 0 is given and applied to the two-phase regression problem in the normal case.
Book
Distributed Detection and Data Fusion
TL;DR: This book discusses distributed detection systems, Bayesian Detection Theory, Information Theory and Distributed Hypothesis Testing, and the role of data compression in the development of knowledge representation.
Journal ArticleDOI
Distributed detection with multiple sensors Part I. Fundamentals
TL;DR: In this paper basic results on distributed detection are reviewed and the parallel and the serial architectures are considered in some detail and the decision rules obtained from their optimization based an the Neyman-Pearson criterion and the Bayes formulation are discussed.
Journal ArticleDOI
Bandwidth-constrained distributed estimation for wireless sensor Networks-part I: Gaussian case
TL;DR: A class of maximum-likelihood estimators that require transmitting just one bit per sensor to achieve an estimation variance close to that of the sample mean estimator of the deterministic mean-location parameter estimation when only quantized versions of the original observations are available.
Journal ArticleDOI
Optimal Detection and Performance of Distributed Sensor Systems
Amy R. Reibman,Loren W. Nolte +1 more
TL;DR: The detection performance of the distributed system with fusion is developed and the globally optimal system performance is compared with two suboptimal systems.
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