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检索条件"主题词=distributed detection"

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distributed detection in Landslide Prediction Based on Wireless Sensor Networks

Distributed Detection in Landslide Prediction Based on Wirel...

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World Automation Congress (WAC)

作者： Yu, Zhao Xu, Shouzhi Zhang, Shuibao Yang, Xiaomei China Three Gorges Univ Coll Comp & Informat Technol Yichang 443002 Peoples R China

ISBN: (纸本)9781467344975

Wireless sensor network is a newly technology t be used in landslide prediction as they provide dense data, and real-time monitoring and prediction of events. A real-time monitoring system of landslide prediction based on WSN is introduced in this paper. Statistical modeling of the landslide strain data and t e distributed detection algorithm are mainly analysed. The strain data are modeled using variable mean of Gaussian process. Miss alarm ratio is a critical performance parameter to landslide prediction. Comparing with centralized detection met. hod, simulation result shows that distributed detection algorithm performs better than centralized detection in criteria of miss alarm ratio and wrong alarm ratio of landslide.

关键词： Landslide prediction Wireless sensor networks distributed detection

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distributed detection Using MRC with Censored Sensors and Rayleigh Faded Communications

Distributed Detection Using MRC with Censored Sensors and Ra...

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IEEE International Symposium on Information Theory (ISIT)

作者： Kundu, C. Kundu, S. Ferrari, G. Raheli, R. Indian Inst Technol Bharti Sch Telecom Tech & Mgmt New Delhi India Natl Inst Tech Dept ECE Durgapur India Univ Parma Dept Informat Engn Parma Italy

ISBN: (纸本)9781457705953

In this paper, we consider the problem of fusing decisions in a distributed detection system when the local binary decisions made at the sensors, relative to observations of a common binary phenomenon, are transmitted over wireless links subject to Rayleigh flat fading and additive noise. A training-based channel estimator is used at the fusion center (FC) to estimate the complex Gaussian fading coefficients characterizing the channels between the sensors and the FC. We use channel state information (CSI) on the fading coefficients for censoring the sensors. Locally optimal decision threshold is considered for binary quantization at the sensors. The detection error probability, using a maximal ratio combining (MRC) fusion rule, is selected as a qualitative measure of system performance and is evaluated by means of simulations. We also use majority logic fusion at the FC to compare detection error probability with MRC after censoring sensors. We study the effects, on the system performance, of the channel estimation error, the channel signal-to-noise ratio (SNR), the sensor SNR, and the number of selected sensors.

关键词： Channel estimation Error probability Fading MRC Rayleigh channels Rayleigh faded communications Sensor fusion Sensor phenomena and characterization Signal to noise ratio binary codes censored sensors channel estimation error channel signal to noise ratio channel state information complex Gaussian fading coefficients detection error probability distributed detection diversity reception fusion center local binary decisions maximal ratio combining sensors

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distributed detection OF AN UNKNOWN TARGET IN CLUSTERED WIRELESS SENSOR NETWORKS

DISTRIBUTED DETECTION OF AN UNKNOWN TARGET IN CLUSTERED WIRE...

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12th IEEE International Workshop on Signal Processing Advances in Wireless Communications

作者： Aldalahmeh, Sami Ghogho, Mounir Swami, Ananthram Univ Leeds Leeds LS2 9JT W Yorkshire England Int Univ Rabat Morocco US Army Res Lab Adelphi MD USA

ISBN: (纸本)9781424493326

We consider the problem of distributed detection in wire-less sensor networks. The sensors are randomly deployed according to a Poisson point process. The received power of the signal emanating for man intruding target is assumed to follow the inverse power law. We propose the real-time counting rule (rt-CR) detector to endow the system with real-time detection delay capabilities. We show that the number of detecting sensor nodes, for any target type and any detector, follows a Poisson distribution. An exact expression for the average number of detecting sensor nodes is found. Simulation results support the accuracy of our theoretical prediction.

关键词： Delay Detectors Poisson distribution Poisson distribution Poisson point process Real time systems Silicon Tin Wireless sensor networks clustered wireless sensor networks detecting sensor nodes distributed detection intruding target object detection real-time counting rule detector real-time detection delay received power stochastic processes unknown target wireless sensor networks

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distributed detection WITH CENSORING SENSORS UNDER DEPENDENT OBSERVATIONS

DISTRIBUTED DETECTION WITH CENSORING SENSORS UNDER DEPENDENT...

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IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

作者： He, Hao Varshney, Pramod K. Syracuse Univ Dept EECS Syracuse NY 13244 USA

ISBN: (纸本)9781479928934

distributed detection in censoring sensor networks, where each sensor transmits "informative" observations to the Fusion Center (FC), and censors those deemed "uninformative", has been investigated by many researchers, but under the assumption of conditionally independent observations. In this paper, we consider a more realistic situation in a censoring sensor network where observations may not be independent. We derive optimal fusion rules at the FC under both Neyman-Perason (NP) and Bayesian frameworks, assuming that each sensor sends complete observations to the FC only when its observation falls out of a certain no-send region. Simulation results are provided to demonstrate the superior performance of our fusion rule compared with several other fusion rules derived in earlier work.

关键词： distributed detection Censoring Dependent observations

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distributed detection OVER FADING MACS WITH MULTIPLE ANTENNAS AT THE FUSION CENTER

DISTRIBUTED DETECTION OVER FADING MACS WITH MULTIPLE ANTENNA...

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2010 IEEE International Conference on Acoustics, Speech, and Signal Processing

作者： Banavar, Mahesh K. Smith, Anthony D. Tepedelenlioglu, Cihan Spanias, Andreas Arizona State Univ SenSIP Ctr Sch Elect Comp & Energy Engn Tempe AZ 85287 USA L 3 Commun Waco TX 76705 USA

ISBN: (纸本)9781424442966

We consider a distributed detection problem over fading multiple-access channels. Sensors observe a phenomenon and transmit their observations to a fusion center using the amplify-and-forward scheme. The fusion center has multiple antennas and uses the transmissions from the sensors to run a detection algorithm. The channels are Ricean fading, and the sensors have no channel information. The performance is evaluated in terms of error exponent and compared with the AWGN channels case. The benefit of having multiple antennas at the fusion center is also quantified.

关键词： distributed detection Wireless Sensor Networks Ricean fading Error Exponent Asymptotic Analysis

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distributed detection OF A NUCLEAR RADIOACTIVE SOURCE BASED ON A HIERARCHICAL SOURCE MODEL

DISTRIBUTED DETECTION OF A NUCLEAR RADIOACTIVE SOURCE BASED ...

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IEEE International Conference on Acoustics, Speech and Signal Processing

作者： Sundaresan, Ashok Varshney, Pramod K. Rao, Nageswara S. V. Syracuse Univ Dept EECS Syracuse NY 13244 USA Oak Ridge Natl Lab Oak Ridge TN 37831 USA

ISBN: (纸本)9781424423538

detection of a nuclear radioactive source is considered using a parallel sensor network architecture and a fusion center. A Poisson-Gamma hierarchical model is used to represent the distribution of the count data received by the sensors. Local sensors are assumed to be single threshold binary quantizers that send a vector of sensor decisions over time to the fusion center for global decision-making. Using the developed count model, a generalized likelihood ratio test (GLRT) using a restricted range MLE (RMLE) is proposed to declare the global decision. The performance improvement resulting from using the restricted range MLE over the unrestricted MLE while implementing the GLRT is depicted using simulated as well as real data collected from a test-bed using radiation sensors. Using bootstrap, 95% confidence bounds on the ROC curves, evaluated using real data, are obtained.

关键词： distributed detection Decision Fusion Hierarchical Model Restricted MLE

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distributed detection in the presence of frequency offset and phase shift

Distributed detection in the presence of frequency offset an...

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42nd Annual Conference on Information Sciences and Systems

作者： Wu, Tao Cheng, Qi Oklahoma State Univ Sch Elect & Comp Engn Stillwater OK 74078 USA

ISBN: (纸本)9781424422463

In this paper, we study the problem of distributed detection in the presence of unknown carrier frequency offset (CFO) and initial phase, the issue we encounter in the emerging applications of wireless sensor networks (WSNs) due to hardware constraints on sensor nodes. Suboptimal fusion rules taking into account CFO and initial phase and non-data-aided methods of low complexity for CFO and initial phase shift estimation are developed. Instead of the estimation performance, the objective function is in terms of the final detection performance. In particular, a generalized likelihood ratio test is proposed first for distributed detection in the presence of unknown CFOs and phase shifts. Then computationally simplified algorithms are proposed under the high and low signal-to-noise ratio regimes, respectively. Specifically, under the high-SNR condition, a time-averaging autocorrelator is used for CFO estimation and the Chair-Varshney fusion rule is used for decision fusion;while under the low-SNR condition, maximum likelihood estimation can be realized by a fast Fourier transform. The simulation results show that the developed fusion schemes are robust to CFO and initial phase.

关键词： distributed detection carrier frequency offset wireless sensor networks

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distributed detection WITH COLLISIONS IN A RANDOM, SINGLE-HOP WIRELESS SENSOR NETWORK

DISTRIBUTED DETECTION WITH COLLISIONS IN A RANDOM, SINGLE-HO...

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IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Whipps, Gene T. Ertin, Emre Moses, Randolph L. US Army Res Lab Adelphi MD 20783 USA Ohio State Univ Dept ECE Columbus OH 43210 USA

ISBN: (纸本)9781479903566

We consider the problem of distributed detection in a large network of sensors under network communication constraints. Sensor nodes are randomly deployed and follow a random sleep/wake schedule. When awake, sensor nodes perform local detection tests and communicate detections over a multiple-access channel to a fusion center. The fusion center can detect both successful communications and communication collisions in the channel. We show that the optimum fusion rule is a weighted sum of the number of detections received and the number of collisions detected by the fusion node. We derive analytical expressions that characterize the performance of the system. Simulation examples compare theoretical predictions with numerical results.

关键词： distributed detection random access sensor network

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distributed detection of APTs: Consensus vs. Clustering 25th

Distributed Detection of APTs: Consensus vs. Clustering

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25th European Symposium on Research in Computer Security (ESORICS)

作者： Rubio, Juan E. Alcaraz, Cristina Rios, Ruben Roman, Rodrigo Lopez, Javier Univ Malaga Comp Sci Dept Campus Teatinos S-N Malaga 29071 Spain

ISBN: (纸本)9783030589509;9783030589516

Advanced persistent threats (APTs) demand for sophisticated traceability solutions capable of providing deep insight into the movements of the attacker through the victim's network at all times. However, traditional intrusion detection systems (IDSs) cannot attain this level of sophistication and more advanced solutions are necessary to cope with these threats. A promising approach in this regard is Opinion Dynamics, which has proven to work effectively both theoretically and in realistic scenarios. On this basis, we revisit this consensus-based approach in an attempt to generalize a detection framework for the traceability of APTs under a realistic attacker model. Once the framework is defined, we use it to develop a distributed detection technique based on clustering, which contrasts with the consensus technique applied by Opinion Dynamics and interestingly returns comparable results.

关键词： Clustering Consensus Opinion dynamics distributed detection Traceability Advanced persistent threat

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distributed detection AND UNIFORMLY MOST POWERFUL TESTS

DISTRIBUTED DETECTION AND UNIFORMLY MOST POWERFUL TESTS

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IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Rogers, Uri Chen, Hao Boise State Univ Dept Elect & Comp Engn Boise ID 83725 USA

ISBN: (纸本)9781479903566

Uniformly Most Powerful (UMP) centralized detection for the composite binary hypothesis problem has been well researched. This paper extends the UMP methodology to the parallel distributed detection problem, when the local observations are independently distributed. A collection of general theorems and corollaries define sufficient conditions for the existence of a UMP parallel distributed detection (UMP-DD) under one set of fusion rules. These same conditions under another set of general fusion rules result in at least a Locally Most Powerful distributed detection (LMP-DD) rule. The subtleties of these conclusions are explored using informative examples that highlight the strengths of this approach and introduce new groups of UMP-DD tests.

关键词： Composite Hypothesis Testing Uniformly Most Powerful Test distributed detection Log-concave

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