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distributed detection Over Adaptive Networks Using Diffusion Adaptation

IEEE TRANSACTIONS ON SIGNAL PROCESSING 2011年第5期59卷 1917-1932页

作者： Cattivelli, Federico S. Sayed, Ali H. Univ Calif Los Angeles Dept Elect Engn Los Angeles CA 90095 USA

We study the problem of distributed detection, where a set of nodes is required to decide between two hypotheses based on available measurements. We seek fully distributed and adaptive implementations, where all nodes make individual real-time decisions by communicating with their immediate neighbors only, and no fusion center is necessary. The proposed distributed detection algorithms are based on diffusion strategies [C. G. Lopes and A. H. Sayed, "Diffusion Least-Mean Squares Over Adaptive Networks: Formulation and Performance Analysis," IEEE Trans. Signal Process., vol. 56, no. 7, pp. 3122-3136, July 2008;F. S. Cattivelli and A. H. Sayed, " Diffusion LMS Strategies for distributed Estimation," IEEE Trans. Signal Process., vol. 58, no. 3, pp. 1035-1048, March 2010;F. S. Cattivelli, C. G. Lopes, and A. H. Sayed, " Diffusion Recursive Least-Squares for distributed Estimation Over Adaptive Networks," IEEE Trans. Signal Process., vol. 56, no. 5, pp. 1865-1877, May 2008] for distributed estimation. Diffusion detection schemes are attractive in the context of wireless and sensor networks due to their scalability, improved robustness to node and link failure as compared to centralized schemes, and their potential to save energy and communication resources. The proposed algorithms are inherently adaptive and can track changes in the active hypothesis. We analyze the performance of the proposed algorithms in terms of their probabilities of detection and false alarm, and provide simulation results comparing with other cooperation schemes, including centralized processing and the case where there is no cooperation. Finally, we apply the proposed algorithms to the problem of spectrum sensing in cognitive radios.

关键词： Adaptive networks cognitive radios diffusion LMS diffusion networks diffusion RLS distributed detection distributed estimation hypothesis testing

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Study on Elastic Helical TDR Sensing Cable for distributed Deformation detection

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SENSORS 2012年第7期12卷 9586-9602页

作者： Tong, Renyuan Li, Ming Li, Qing China Jiliang Univ Coll Mech & Elect Engn Hangzhou 310018 Zhejiang Peoples R China E China Normal Univ Sch Informat Sci & Technol Shanghai 200241 Peoples R China

In order to detect distributed ground surface deformation, an elastic helical structure Time Domain Reflectometry (TDR) sensing cable is shown in this paper. This special sensing cable consists of three parts: a silicone rubber rope in the center;a couple of parallel wires coiling around the rope;a silicone rubber pipe covering the sensing cable. By analyzing the relationship between the impedance and the structure of the sensing cable, the impedance model shows that the sensing cable impedance will increase when the cable is stretched. This specific characteristic is verified in the cable stretching experiment which is the base of TDR sensing technology. The TDR experiment shows that a positive reflected signal is created at the stretching deformation point on the sensing cable. The results show that the deformation section length and the stretching elongation will both affect the amplitude of the reflected signal. Finally, the deformation locating experiments show that the sensing cable can accurately detect the deformation point position on the sensing cable.

关键词： elastic helical distributed detection TDR sensing cable geological hazard monitoring

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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 in UWB Sensor Networks under Non-Orthogonal Nakagami-m Fading

Distributed Detection in UWB Sensor Networks under Non-Ortho...

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IEEE 74th Vehicular Technology Conference (VTC)

作者： Mehbodniya, A. Bielefeld, D. Aissa, S. Mathar, R. Adachi, F. Univ Quebec INRS Montreal PQ H3C 3P8 Canada Rhein Westfal TH Aachen Aachen Germany KAUST Thuwal Saudi Arabia

ISBN: (纸本)9781424483273

Several attractive features of ultra wideband (UWB) communications make it a good candidate for physical-layer of wireless sensor networks (WSN). These features include low power consumption, low complexity and low cost of implementation. In this paper, we present an opportunistic power assignment strategy for distributed detection in parallel fusion WSNs, considering a Nakagami-m fading model for the communication channel and time-hopping (TH) UWB for the transmitter circuit of the sensor nodes. In a parallel fusion WSN, local decisions are made by local sensors and transmitted through wireless channels to a fusion center. The fusion center processes the information and makes the final decision. Simulation results are provided for the global probability of detection error and relative performance gain to evaluate the efficiency of the proposed power assignment strategy in different fading environments.

关键词： UWB Wireless Sensor Networks distributed detection Parallel Fusion Network Nakagami-m Fading

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distributed detection in Noisy Sensor Networks

Distributed Detection in Noisy Sensor Networks

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IEEE International Symposium on Information Theory (ISIT)

作者： Kar, Soummya Tandon, Ravi Poor, H. Vincent Cui, Shuguang Princeton Univ Dept Elect Engn Princeton NJ 08544 USA Texas A&M Univ Dept Elect & Comp Engn College Stn TX 77843 USA

ISBN: (纸本)9781457705953

This paper considers distributed detection over a noisy network, in which each connected sensor pair can communicate over an additive noise channel. With non-identically distributed generic sensor observations, a mixed time scale recursive algorithm for binary hypothesis testing over such networks is proposed. Under some mild assumptions on network connectivity and global detectability (the positivity of the global or centralized Kullback-Liebler divergence), this algorithm yields asymptotically zero probabilities of Type-I and Type-II errors (henceforth referred to as probabilities of error). When sensor observations are identically distributed, a simplified single time scale version of the proposed algorithm is shown to achieve asymptotically zero probabilities of error. Convergence rate guarantees in terms of asymptotic normality of certain scaled decision variables are provided for this simplified procedure. As an example, a practical Gaussian sensor network is considered, for which the error decay exponents are explicitly characterized in terms of the network and noise parameters.

关键词： AWGN channels Convergence Gaussian sensor network Heuristic algorithms Network topology Noise Noise measurement Sensors Testing additive noise channel asymptotically zero probabilities binary hypothesis testing convergence of numerical methods convergence rate distributed detection distributed generic sensor error decay exponents error statistics global detectability mixed time scale recursive algorithm network connectivity noisy sensor networks probability recursive estimation signal detection wireless sensor networks

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detection of Bad Data in Phasor Measurement Units Using distributed Approach

Detection of Bad Data in Phasor Measurement Units Using Dist...

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International Conference on Innovations in Power and Advanced Computing Technologies

作者： Polly Thomas Emil Ninan Skariah Sheena Thomas Varghese Dept of Electrical and Electronics Engineering Saintgits College of Engineering Kottayam India

ISBN: (纸本)9781509056835

The chances for presence of bad data in Phasor measurement units are increasing due to complicated power system. Thus the voltage magnitude and phase angle obtained from PMU is no longer accurate. Hence it is important to detect the presence of bad data and identify the PMU which contains the error. In order to implement bad data detection and identification, state estimation is carried out to obtain the true state variables using weighted least square method. In this paper a distributed approach is chosen for identification of bad data. The system network is divided into different areas and the technique is applied to each area separately. The area and the meter which contains error is identified through this method. The system works in MATLAB platform.

关键词： power system state estimation Phasor measurement units distributed detection

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A Graphical Evolutionary Game Approach to Social Learning

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IEEE SIGNAL PROCESSING LETTERS 2017年第6期24卷 765-769页

作者： Cao, Xuanyu Liu, K. J. Ray Univ Maryland Dept Elect & Comp Engn College Pk MD 20742 USA

In this work, we study the social learning problem, in which agents of a networked system collaborate to detect the state of the nature based on their private signals. A novel distributed graphical evolutionary game-theoretic learning method is proposed. In the proposed game-theoretic method, agents only need to communicate their binary decisions rather than the real-valued beliefs with their neighbors, which endows the method with low communication complexity. Under mean field approximations, we theoretically analyze the steady-state equilibria of the game and show that the evolutionarily stable states coincide with the decisions of the benchmark centralized detector. Numerical experiments are implemented to confirm the effectiveness of the proposed game-theoretic learning method.

关键词： distributed decision making distributed detection evolutionary game theory social learning

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An Improved Polarization Compensation Method for Interferometric Fiber-Optic Intrusion Sensors

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IEEE PHOTONICS TECHNOLOGY LETTERS 2017年第10期29卷 834-837页

作者： Pan, Liang Liu, Kun Jiang, Junfeng Ma, Chunyu Ma, Pengfei Liu, Tiegen Tianjin Univ Coll Precis Instrument & Optoelect Engn Tianjin 300072 Peoples R China

In this letter, we proposed an improved polarization compensation method to eliminate polarization-induced phase shift and polarization-induced fading and enhance the positioning accuracy of interferometric fiber-optic intrusion sensor based on dual Mach-Zehnder interferometry. The implement scheme employs two polarization controllers (PC) to compensate the polarizations of light beams before they interfere at beam combiner. The compensation strategy of optimum polarization adjustment is based on the directed compensation of the state of polarization (SOP) and it has the advantages of fast PC adjustment and fine synchronization of the interference light beams. We also experimentally demonstrated the efficiency of our proposed method with a positioning error within +/- 30 m.

关键词： distributed detection disturbance measurement optical polarization polarization compensation

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Rician MIMO Channel- and Jamming-Aware Decision Fusion

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IEEE TRANSACTIONS ON SIGNAL PROCESSING 2017年第15期65卷 3866-3880页

作者： Ciuonzo, Domenico Aubry, Augusto Carotenuto, Vincenzo Univ Naples Federico II DIETI Naples Italy NM2 Srl Naples Italy

In this paper, we study channel-aware decision fusion (DF) in a wireless sensor network (WSN), where the sensors transmit their decisions simultaneously for spectral efficiency purposes and the DF center (DFC) is equipped with multiple antennas. Also, each sensor-DFC channel is described via a Rician model. As opposed to the existing literature, in order to account for stringent energy constraints in the WSN, only statistical channel information is assumed for the non-line-of-sight (scattered) fading terms. For such a scenario, suboptimal fusion rules are developed in order to deal with the exponential complexity of the likelihood ratio test (LRT) and impractical (complete) system knowledge. Furthermore, the considered model is extended to the case of (partially unknown) jamming-originated interference. Then, the obtained fusion rules are modified with the use of composite hypothesis testing framework and generalized LRT. Coincidence and statistical equivalence among them are also investigated under some relevant simplified scenarios. Numerical results compare the proposed rules and highlight their jamming-suppression capability.

关键词： Decision fusion distributed detection physical-layer security virtual MIMO wireless sensor networks

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