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IEEE International Conference on Acoustics, Speech, and Signal Processing

作者： Hao Chen Pramod K. Varshney Biao Chen Department of Electrical Engineering and Computer Science 4-206 CST Syracuse University Syracuse NY 13244 USA

ISBN: (纸本)9781424442959

In this paper, we present a unifying framework for distributed detection with dependent or independent observations. This novel framework utilizes an expanded hierarchical model by introducing a hidden variable. Facilitated by this new framework, we identify several classes of distributed detection problems with conditionally dependent observations whose optimal sensor signaling structure resembles that of the independent case. These classes of problems exhibit a decoupling effect on the form of the optimal local decision rules, much in the same way as the conditionally independent case using both the Bayesian and the Neyman-Pearson criteria.

关键词： distributed detection Dependent Observation Hierarchical Independence Model Quantization

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Energy Efficient Transmission Strategies for distributed detection in Wireless Sensor Networks

Energy Efficient Transmission Strategies for Distributed Det...

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International Conference on Intelligent Sensors, Sensor Networks and Information Processing

作者： Daesung Hwang Hyoungsuk Jeon Jeongseok Ha Jinho Choi Department of Electrical Engineering Korea Advanced Institute of Science and Technology School of Information and Communications Gwangju Institute of Science and Technology

ISBN: (纸本)9781479928446

In this paper, we propose two energy efficient ordered transmission schemes with fusion rules for distributed detection in wireless sensor networks (WSNs). The fusion rule at the fusion center (FC) has been derived to take into account not only the reliability of local decision at sensors, but also channel gains from sensors to the FC. In the first scheme, the sensors' transmission order is based on only local log-likelihood ratio (LLR), while it is based on both the reliability of local decision and quality of transmission channels in the second scheme. Due to the ordered transmission, the target detection performance can be achieved with a small number of sensors, which leads to energy efficient distributed detection in WSNs. At the high signal-to-noise ratio (SNR) regime, the performances of both strategies converge to the best achievable one in the case that the sensors perfectly know the received signals at the FC.

关键词： distributed detection Energy efficient strategy Fading channels Wireless sensor networks

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Exact asymptotics of distributed detection over adaptive networks

Exact asymptotics of distributed detection over adaptive net...

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IEEE International Conference on Acoustics, Speech and Signal Processing

作者： V. Matta P. Braca S. Marano A. H. Sayed Dept. of Inf. & Electr. Eng. & Appl. Math. Univ. of Salerno Fisciano Italy

ISBN: (纸本)9781467369985

In [1], an important step toward the characterization of distributed detection over adaptive networks has been made by establishing the fundamental scaling law of the error probabilities. However, empirical evidence reported in [1] revealed that a refined asymptotic analysis is necessary in order to capture the exact impact of network connectivity on the detection performance of each individual agent. Here we address this open issue by exploiting the framework of exact asymptotics.

关键词： distributed detection adaptive network diffusion strategy exact asymptotics large deviations adaptive networking Exact Self tuning Distribute Network scaling laws

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Shared Channel Ordered Transmissions for Energy-Efficient distributed Signal detection

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IEEE COMMUNICATIONS LETTERS 2019年第1期23卷 96-99页

作者： Sriranga, N. Nagananda, K. G. Blum, R. S. Lehigh Univ Dept Elect Engn Bethlehem PA 18015 USA

An existing approach to energy-efficient signal detection in sensor networks is to order the sensor transmissions such that highly informative sensors enjoy higher priority for transmission. Then, when sufficient evidence is collected at the fusion center (FC) for decision making, the transmissions are stopped. This scheme incurs the same error probability as the optimum unconstrained energy approach, but with fewer sensor transmissions leading to significant energy savings. However, it is assumed that each sensor uses an orthogonal channel to transmit to the FC. In this paper, the ordering approach is revisited by considering the shared medium between sensors and the FC. After the N sensors make observations they wish to transmit to the FC, time is divided into frames and within each frame, sensors with similar likelihood ratios contend for transmission. The contention for transmission is resolved using Slotted ALOHA. Under certain conditions, this new scheme requires less than half the sensors on an average to transmit, with no loss in error probability for the mean-shift binary hypothesis testing problem.

关键词： distributed detection energy efficiency censoring ordering collisions

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Audit Bit Based distributed Bayesian detection in the Presence of Byzantines

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IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS 2018年第4期4卷 643-655页

作者： Hashlamoun, Wael Brahma, Swastik Varshney, Pramod K. Birzeit Univ Dept Elect & Comp Engn Birzeit 71939 Palestine Tennessee State Univ Dept Comp Sci Nashville TN 37209 USA Syracuse Univ Dept Elect Engn & Comp Sci Syracuse NY 13244 USA

This paper considers the problem of distributed Bayesian detection in the presence of Byzantines who seek to degrade detection performance by falsifying data. The paper employs an audit bit based mechanism to mitigate Byzantine attacks that partitions sensors into groups. In this framework, local decisions from the sensors in each group reach the fusion center (FC) via multiple paths, which enable the FC to assess (i.e., to audit) the information that reaches it to improve detection performance. In this paper, we consider the audit bit based distributed detection mechanism in the Bayesian framework and derive the optimal fusion rule in the presence of Byzantines. Using probability of error to characterize detection performance of the FC under the optimal fusion rule, we prove that the proposed mechanism is more robust against Byzantine attacks than previously proposed schemes. We show that using the audit bit based mechanism the FC becomes blind (i.e., no useful information reaches the FC) if all the nodes in the network are Byzantines. Furthermore, the paper also introduces the notion of temporal mitigation, namely of mitigating Byzantine attacks over time using audit bits, as well as characterizes optimal Byzantine attacks over time. Extensive numerical results are provided throughout the paper that provide insights into the audit bit based distributed detection mechanism.

关键词： distributed detection Bayesian detection Byzantine attacks Audit bits

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An adaptive retransmission scheme for the type-based distributed detection

An adaptive retransmission scheme for the type-based distrib...

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IET International Conference on Wireless Sensor Network 2010 (IET-WSN 2010)

作者： Xiangyang Liu Xinghua Liu Jia Xu Jin Pan First Department Xian Communication Institute Xi'an Shaanxi China Department of Electronic Engineering Tsinghua University Beijing China

ISBN: (纸本)9781617825057

In the type-based distributed detection (TBDD for short) framework proposed recently, the type statistic of each sensor must be transmitted to a fusion center for making a final decision. The detection error probability using this approach is high when the transmission channel is highly noisy. Therefore, an approach combining TBDD with channel error detection was proposed to design a fault-tolerant detection system in wireless sensor networks. When the fusion center detects the occurrences of transmission error, the sensor which has sent the received result will be asked to retransmit its type statistic by the fusion center. Simulation results show that the detection error probability can be effectively reduced through the retransmission scheme at moderate cost of traffic and amount of calculation.

关键词： Adaptive Retransmission distributed detection Type method Wireless sensor network

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A distributed detection Scheme for Multiple Monostatic Radars

A Distributed Detection Scheme for Multiple Monostatic Radar...

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2006 CIE International Conference on Radar

作者： Xiangyang Liu *+ Jun Yan* Yingning Peng * * Department of Electronic engineering,Tsinghua University,Beijing,People's Republic of China,+ The First Department,Xi'an Communication College,Xi'an,Shaanxi,People's Republic of China

The body of distributed detection theory is based on the common assumption that all sensors test the same resolution cell at the same ***,for multiple monostatic radars that are far from one another,it is unreasonable to assume they have common resolution cell ***,it is economically appealing to use existing radars to fulfill the distributed ***,we proposed a simple data association method to map local resolution cell grids to the global cell grid of the fusion *** the time of different radar sweeping a given volume may be different and the interesting target may be moving,we present a mixed summation fusion rule to overcome the harmful effect of cell grid overlap and *** show that our method far outperforms the single radar's detection performance and can improve the position estimate of ***,it is feasible.

关键词： distributed detection Data Association Fusion Rule Radar netting

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distributed Fault detection and Isolation of Continuous-Time Non-Linear Systems

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EUROPEAN JOURNAL OF CONTROL 2011年第5-6期17卷 603-620页

作者： Boem, Francesca Ferrari, Riccardo M. G. Parisini, Thomas Univ London Imperial Coll Sci Technol & Med London SW7 2AZ England Univ Trieste Dept Ind & Informat Engn I-34127 Trieste Italy Danieli Automat SpA Buttrio Italy

This paper presents a continuous-time distributed fault detection and isolation methodology for nonlinear uncertain possibly large-scale dynamical systems. The monitored system is modeled as the interconnection of several subsystems and a divide et impera approach using an overlapping decomposition is adopted. Each subsystem is monitored by a Local Fault Diagnoser using the information based on the measured local state of the subsystem as well as the measurements about neighboring states thanks to the subsystem interconnections. The local diagnostic decision is made on the basis of the knowledge of the local subsystem dynamic model and of an adaptive approximation of the interconnection with neighboring subsystems. In order to improve the detectability and isolability of faults affecting variables shared among different subsystems, a consensus-based estimator is designed. Theoretical results are provided to characterize the detection and isolation capabilities of the proposed distributed scheme.

关键词： Adaptive estimation distributed detection distributed processing fault diagnosis large-scale systems nonlinear systems

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distributed detection in UWB-IR Sensor Networks with Randomization of the Number of Pulses

Distributed Detection in UWB-IR Sensor Networks with Randomi...

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2008 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting

作者： Tsang-Yi Wang Chih-Peng Li Yong-Lin Zhang Institute of Communications Engineering National Sun Yat-sen University Taiwan

In this paper, we consider a distributed detection problem in wireless sensor networks (WSNs) using ultrawide bandwidth (UWB) communications. Due to the severe restrictions on power consumption, energy efficiency becomes a critical design issue in WSNs. UWB technology has low-power transceivers, low-complexity and low-cost circuitry which are well suited to the physical layer requirements for WSNs. In a typical parallel fusion network, local decisions are made by local sensors and transmitted through a wireless channel to a fusion center, where the final decision is made. In this paper, we control the number of UWB pulses to achieve the energy efficient distributed detection. We first theoretically characterize the performance of distributed detection using UWB communications. Based on the analysis, we then obtain the minimum number of the pulses per detection to meet the required performance. To achieve a near-optimal design, we further propose a multiple access technique based on the random number of UWB pulses. Finally, the performance evaluation is provided to demonstrate the advantage of our design.

关键词： distributed detection Sensor networks Energy efficiency UWB Fusion

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Power Allocation Based on Instantaneous Observation Quality for distributed detection in Wireless Sensor Networks

Power Allocation Based on Instantaneous Observation Quality ...

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IEEE Vehicular Technology Conference

作者： Yuh-Ren Tsai Sheng-Wei Lin Li-Cheng Lin Institute of Communications Engineering National Tsing Hua University

ISBN: (纸本)9781424425167

Proper Power allocation can improve energy efficiency in wireless sensor networks (WSNs). Previous works considered only the channel statistics and did not take the instantaneous observations into consideration. Applying the instantaneous quality of an observation to the transmission power control of a node can improve the overall energy efficiency. In this work, we proposed nearly optimal power allocation schemes based on the instantaneous observation quality in each node for distributed detection in WSNs. The instantaneous quality of an observation is related to the log-likelihood ratio (LLR) of the signal observed by a node. According to the simulation results, at least 20% of energy can be saved when compared to the equal power allocation scheme.

关键词： Power allocation Wireless sensor network (WSN) distributed detection Log likelihood ratio (LLR) power splitting Wireless sensor networks power transmission control Energy efficiency Line of nodes

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