检索结果-内蒙古大学图书馆

A Secure Optimum distributed detection Scheme in Under-Attack Wireless Sensor Networks

IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS 2018年第2期4卷 325-337页

作者： Nurellari, Edmond McLernon, Des Ghogho, Mounir Univ Lincoln Sch Engn Lincoln LN6 7TS England Univ Leeds Sch Elect & Elect Engn Leeds LS2 9JT W Yorkshire England Int Univ Rabat Rabat 11100 Morocco

We address the problem of centralized detection of a binary event in the presence of beta fraction falsifiable sensor nodes (SNs) (i.e., controlled by an attacker) for a bandwidth-constrained under-attack spatially uncorrelated distributed wireless sensor network. The SNs send their 1-bit test statistics over orthogonal channels to the fusion center (FC), which linearly combines them to reach to a final decision. Adopting the modified deflection coefficient as an alternative function to be optimized, we first derive in a closed-form the FC optimal weights combining. But as these optimal weights require a priori knowledge that cannot be attained in practice, this optimal weighted linear FC rule is not implementable. We also derive in a closed-form the expressions for the attacker "flipping probability" (defined in paper) and the minimum fraction of compromised SNs that makes the FC incapable of detecting. Next, based on the insights gained from these expressions, we propose a novel and noncomplex reliability-based strategy to identify the compromised SNs, and then, adapt the weights combining proportional to their assigned reliability metric. In this way, the FC identifies the compromised SNs and decreases their weights in order to reduce their contributions towards its final decision. Finally, simulation results illustrate that the proposed strategy significantly outperforms (in terms of FC's detection capability) the existing compromised SNs identification and mitigation schemes.

关键词： distributed detection falsified sensor nodes (SNs) observations optimum fusion rule wireless sensor networks (WSNs)

来源：评论

学校读者我要写书评

暂无评论

Type-based random access for distributed detection over multiaccess fading channels

引用

IEEE TRANSACTIONS ON SIGNAL PROCESSING 2007年第10期55卷 5032-5043页

作者： Anandkumar, Animashree Tong, Lang Cornell Univ Sch Elect & Comp Engn Ithaca NY 14853 USA

The problem of distributed detection in a sensor network over multiaccess fading channels is considered. A random-access transmission scheme referred to as the type-based random access (TBRA) is proposed and analyzed. Error exponents of TBRA under noncoherent detection are characterized with respect to the mean transmission rate and the channel-coherence index. For the zero-mean multiaccess fading channels, it is shown that there exists an optimal mean-transmission rate that maximizes the detection-error exponents. The optimal mean-transmission rate can be calculated numerically or estimated using the Gaussian approximation, and it gives a sensor-activation strategy that achieves an optimal allocation of transmission energy to spatial and temporal domains. Numerical examples and simulations are used to compare TBRA with the conventional centralized time-division multiple access (TDMA) scheme. It is shown that for the zero-mean multiaccess fading channels, TBRA gives substantial improvement in the low signal-to-noise ratio (SNR) regime whereas for the nonzero mean fading channels, TBRA performs better over a wide range of SNR.

关键词： distributed detection multisensor systems performance analysis signal processing for communications.

来源：评论

学校读者我要写书评

暂无评论

On distributed detection in EH-WSNs With Finite-State Markov Channel and Limited Feedback

IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING

引用

IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING 2023年第4期7卷 1692-1708页

作者： Ardeshiri, Ghazaleh Vosoughi, Azadeh Univ Cent Florida Dept Elect & Comp Engn ECE Orlando FL 32816 USA

We consider a network of N sensors, tasked with solving binary distributed detection, a fusion center (FC), and a feedback channel from the FC to sensors. Each sensor is capable of harvesting energy and is equipped with a finite-size battery to store randomly arrived energy. Sensors process their observations and transmit their symbols to the FC over orthogonal and Markovian time correlated fading channels. The FC fuses the received symbols and makes a global binary decision. We aim at developing adaptive channel-dependent transmit power control policies such that J-divergence based detection metric is maximized at the FC, subject to total transmit power constraint. Modeling quantized fading channel, energy arrival, and battery dynamics as time-homogeneous finite-state Markov chains, and the network lifetime as a geometric random variable, we formulate our power control optimization problem as a discounted infinite-horizon constrained Markov decision process (MDP) problem, where sensors' transmit powers are functions of the battery states, quantized channel gains, and the arrived energies. We utilize stochastic dynamic programming and Lagrangian approach to find the optimal and sub-optimal power control policies. We demonstrate that our sub-optimal policy provides a close-to-optimal performance with a reduced computational complexity and without imposing signaling overhead on sensors.

关键词： Adaptive channel-dependent power control channel gain quantization distributed detection energy harvesting J-divergence finite size battery geometrically distributed network lifetime limited feedback Markov decision process Markovian time correlated fading model optimal and sub-optimal policies time-homogeneous finite-state Markov chain

来源：评论

学校读者我要写书评

暂无评论

Diffusion-Based Adaptive distributed detection: Steady-State Performance in the Slow Adaptation Regime

引用

IEEE TRANSACTIONS ON INFORMATION THEORY 2016年第8期62卷 4710-4732页

作者： Matta, Vincenzo Braca, Paolo Marano, Stefano Sayed, Ali H. Univ Salerno Dept Informat Engn Elect Engn & Appl Math I-84084 Fisciano Italy NATO Sci & Technol Org Ctr Maritime Res & Expt I-19126 La Spezia Italy Univ Calif Los Angeles Dept Elect Engn Los Angeles CA 90095 USA

This paper examines the close interplay between cooperation and adaptation for distributed detection schemes over fully decentralized networks. The combined attributes of cooperation and adaptation are necessary to enable networks of detectors to continually learn from streaming data and to continually track drifts in the state of nature when deciding in favor of one hypothesis or another. The results in this paper establish a fundamental scaling law for the steady-state probabilities of miss detection and false alarm in the slow adaptation regime, when the agents interact with each other according to distributed strategies that employ small constant step-sizes. The latter are critical to enable continuous adaptation and learning. This paper establishes three key results. First, it is shown that the output of the collaborative process at each agent has a steady-state distribution. Second, it is shown that this distribution is asymptotically Gaussian in the slow adaptation regime of small step-sizes. Third, by carrying out a detailed large deviations analysis, closed-form expressions are derived for the decaying rates of the false-alarm and missdetection probabilities. Interesting insights are gained from these expressions. In particular, it is verified that as the step-size mu decreases, the error probabilities are driven to zero exponentially fast as functions of 1/mu, and that the exponents governing the decay increase linearly in the number of agents. It is also verified that the scaling laws governing the errors of detection and the errors of estimation over the network behave very differently, with the former having exponential decay proportional to 1/mu, while the latter scales linearly with decay proportional to mu. Moreover, and interestingly, it is shown that the cooperative strategy allows each agent to reach the same detection performance, in terms of detection error exponents, of a centralized stochastic-gradient solution. The results of this paper are i

关键词： distributed detection adaptive network diffusion strategy consensus strategy false-alarm probability miss-detection probability large deviations analysis

来源：评论

学校读者我要写书评

暂无评论

Collision-aware distributed detection with population-splitting algorithms

引用

EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING 2021年第1期2021卷 1-28页

作者： Laitrakun, Seksan Thammasat Univ Sirindhorn Int Inst Technol Pathum Thani 12120 Thailand

We consider the design of distributed detection algorithms for single-hop, single-channel wireless sensor networks in which sensor nodes send their local decisions to a fusion center (FC) by using a random access protocol. There is also limited time to collect local decisions before a final decision must be made. We thus propose and analyze a modified random access protocol in which the FC combines slotted ALOHA with a population-splitting algorithm called population-splitting-based random access (PSRA) and collision-aware distributed detection according to an estimate-then-fuse approach. Under the PSRA, only sensor nodes whose observations fall in a particular range of reliability will send their decisions in a specific frame by using slotted ALOHA. At the end of the collection time, the FC applies the collision-aware distributed detection to make a final decision. Here, the FC will first observe the state of each time slot-idle, successful, collision-in each frame, use this information to estimate the number of sensor nodes participating in each frame, and, then, compute a final decision using a population-based fusion rule. An approximation of the optimal transmission probability of the slotted ALOHA is determined to minimize the probability of error. Numerical results show that, unlike slotted-ALOHA-based data networks, the transmission probability maximizing the number of successful time slots does not optimize the performance of the proposed distributed detection. Instead, the proposed distributed detection performs best with a transmission probability that induces many collisions.

关键词： distributed detection Decision fusion Population-splitting algorithms Slotted ALOHA Binary sensor networks

来源：评论

学校读者我要写书评

暂无评论

Providing Spectrum Information Service Using TV White Space via distributed detection System

引用

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 2019年第8期68卷 7655-7667页

作者： Chen, Zhenjia Zhang, Yonghui Hainan Univ Dept Was Sch Informat & Commun Engn Haikou 570228 Hainan Peoples R China

Electromagnetic spectrum resources are a very important resource. With the rapid development of radio technology, electromagnetic spectrum resources have become scarce. Abuse of spectrum resources and interference with primary user often occur. Pre-sensing the electromagnetic environment and performing dynamic spectrum access is the direction of future wireless technology development. This paper focuses on the electromagnetic spectrum information service platform. We design a spectrum detection node in combination with an embedded system. The distributed spectrum detection network is constructed by using the TV White Space as the communication frequency band of the backbone network. From the perspective of signal source, research on detection and identification methods based on radio signal characteristics improves the efficiency of electromagnetic spectrum detection. A phase extreme range estimation method based on radio frequency I/Q data is proposed to improve signal estimation accuracy in a low signal-noise-ratio environment. The interquartile range is proposed to distinguish noise and signal. The experiment results show that distributed electromagnetic spectrum information service platform based on signal characteristics can improve detection accuracy and increase system flexibility.

关键词： Multicast phase extreme range estimation TV White Space (TVWS) distributed detection

来源：评论

学校读者我要写书评

暂无评论

Interactive distributed detection: Architecture and Performance Analysis

引用

IEEE TRANSACTIONS ON INFORMATION THEORY 2014年第10期60卷 6456-6473页

作者： Akofor, Earnest Chen, Biao Syracuse Univ Dept Elect Engn & Comp Sci Syracuse NY 13210 USA

This paper studies the impact of interactive fusion on detection performance in tandem fusion networks with conditionally independent observations. Within the Neyman-Pearson framework, two distinct regimes are considered: 1) the fixed sample size test and 2) the large sample test. For the former, it is established that interactive distributed detection may strictly outperform the one-way tandem fusion structure. However, for the large sample regime, it is shown that interactive fusion has no improvement on the asymptotic performance characterized by the Kullback-Leibler distance compared with the simple one-way tandem fusion. The results are then extended to interactive fusion systems where the fusion center and the sensor may undergo multiple steps of memoryless interactions or that involve multiple peripheral sensors, as well as to interactive fusion with soft sensor outputs.

关键词： Decision theory distributed detection interactive fusion Neyman-Pearson test Kullback-Leibler distance

来源：评论

学校读者我要写书评

暂无评论

Node-Specific Diffusion LMS-Based distributed detection Over Adaptive Networks

引用

IEEE TRANSACTIONS ON SIGNAL PROCESSING 2018年第3期66卷 682-697页

作者： Al-Sayed, Sara Plata-Chaves, Jorge Muma, Michael Moonen, Marc Zoubir, Abdelhak M. Tech Univ Darmstadt Inst Nachrichtentech Bioinspired Commun Syst Grp D-64283 Darmstadt Germany Katholieke Univ Leuven STADIUS ESAT Dept Elect Engn B-3001 Leuven Belgium Tech Univ Darmstadt Inst Nachrichtentech Signal Proc Grp D-64283 Darmstadt Germany

Diffusion adaptation techniques have shown great promise in addressing the problem of node-specific distributed estimation where the nodes in the network are interested in different, possibly overlapping, sets of parameters. In this work, node-specific distributed detection, which has remained largely unexamined, is considered. In particular, the problem is formulated as one of binary hypothesis testing at each node for each of its parameters of interest. A distributed, online solution for this problem is sought based on diffusion adaptation techniques. In this setting, a signal to be detected by one node constitutes interference that may compromise the ability of the other nodes to detect their signals of interest reliably. Under mild assumptions on the data and network, it is shown that, for sufficiently small adaptation step-sizes, interference can be kept in check. Local detectors are developed where the test-statistics and thresholds adapt to changing conditions in real time. The distributed algorithm is analyzed;and its detection performance characterized and illustrated through numerical simulations.

关键词： distributed detection diffusion adaptation adaptive networks collaborative processing multi-task learning mean-square performance analysis

来源：评论

学校读者我要写书评

暂无评论

Optimal power allocation for distributed detection over MIMO channels in wireless sensor networks

引用

IEEE TRANSACTIONS ON SIGNAL PROCESSING 2008年第9期56卷 4124-4140页

作者： Zhang, Xin Poor, H. Vincent Chiang, Mung United Technol Res Ctr E Hartford CT 06108 USA Princeton Univ Dept Elect Engn Princeton NJ 08540 USA

In distributed detection systems with wireless sensor networks, the communication between sensors and a fusion center is not perfect due to interference and limited transmitter power at the sensors to combat noise at the fusion center's receiver. The problem of optimizing detection performance with such imperfect communication brings a new challenge to distributed detection. In this paper, sensors are assumed to have independent but nonidentically distributed observations, and a multiple-input/multiple-output (MIMO) channel model is included to account for imperfect communication between the sensors and the fusion center. The J-divergence between the distributions of the detection statistic under different hypotheses is used as a performance criterion in order to provide a tractable analysis. Optimization of performance with individual and total transmitter power constraints on the sensors is studied, and the corresponding power allocation scheme strikes a tradeoff between two factors, the communication channel quality and the local decision quality. For the case with orthogonal channels, under certain conditions, the power allocation can be solved by a weighted water-filling algorithm. Simulations show that the proposed power allocation in certain cases only consumes as little as 25% of the total power used by an equal power allocation scheme while achieving the same performance.

关键词： distributed detection multiple-input multiple-output (MIMO) channel power allocation wireless sensor networks (WSNs)

来源：评论

学校读者我要写书评

暂无评论

To Listen or Not: distributed detection with Asynchronous Transmissions

引用

IEEE SIGNAL PROCESSING LETTERS 2015年第5期22卷 628-632页

作者： Yang, Pengfei Chen, Biao Syracuse Univ Dept Elect Engn & Comp Sci Syracuse NY 13244 USA

This letter examines a variation of the canonical distributed detection system: a sensor may overhear other sensors' transmissions and thus may choose to refine its output in the hope of achieving a better detection performance. We show that while this is indeed possible for the fixed sample size test, asymptotically (in the number of samples) there is no performance gain, as measured by the Kullback-Leibler distance achievable at the fusion center, provided that the observations are conditionally independent. For conditionally dependent observations, however, we demonstrate that asymptotic detection performance may indeed be improved when overhearing is utilized.

关键词： detection with side information. distributed detection Kullback-Leibler distance

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：