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Optimal bit allocation scheme for distributed detection system with imperfect channels

IET COMMUNICATIONS 2020年第8期14卷 1349-1359页

作者： Luo, Junhai He, Xiaoting Univ Elect Sci & Technol China Sch Informat & Commun Engn Chengdu Sichuan Peoples R China

There are two main classes of decision fusion methods, namely hard decision fusion (HD) and soft decision fusion (SD), in which the number of bits transmitted by each local sensor to the fusion centre (FC) is always same, namely one bit in HD and n (n >= 2) bits in SD. However, considering that there is always a limit of bandwidth in a distributed detection system, the number of bits sent by each local sensor to the FC does not need to be the same and should be allocated reasonably and suitably. Therefore, this study proposes an optimal bit allocation scheme based on the memetic algorithm, in which the number of bits transmitted by each local sensor could be different. This scheme aims to maximise the detection probability under the limit of bandwidth for a detection system with imperfect channels. The overall detection probability objective function about the number of allocated bits is derived. To optimise this objective function, an improved memetic algorithm with two local adjustment strategies, namely non-elite learning local adjustment optimisation strategy and elite greedy local adjustment optimisation strategy, is proposed to allocate the optimal number of bits. Simulation results show the efficiency and effectiveness of the proposed scheme.

关键词： evolutionary computation search problems sensor fusion greedy algorithms probability distributed detection system local sensor optimal bit allocation scheme imperfect channels detection probability objective function allocated bits local adjustment strategies elite greedy local adjustment optimisation strategy optimal number decision fusion methods HD soft decision fusion SD fusion centre

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Optimization of a distributed detection system with two consulting sensors using an improved detection scheme

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AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS 2019年 108卷 158-162页

作者： Al-Ababneh, Nedal Jordan Univ Sci & Technol Dept Elect Engn Irbid Jordan

The optimization of a distributed detection system with two consulting sensors is considered. The communication between the two sensors is based on a nonrandom decisions exchange scheme. Contrary to the existing consulting schemes, in which no quality information is exchanged except a request consultation signal, we propose scheme in which additional information, such as the degree of confidence associated with the decisions, is allowed to communicate between the sensors. Direct optimization method based on search algorithm to optimize the performance of the system is used. The results obtained show the superiority of the proposed scheme over the one that does not allow information exchange. (C) 2019 Elsevier GmbH. All rights reserved.

关键词： distributed detection system Local detectors Local thresholds Fusion rule detection probability False alarm

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Analysis of stability in distributed detection system with network delay

Analysis of stability in distributed detection system with n...

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2nd International Workshop on Education Technology and Computer Science, ETCS 2010

作者： Li, Bo Zhou, Sui-Hua Department of Weaponry Engineering Naval University of Engineering Wuhan China

ISBN: (纸本)9780769539874

The design of distributed detection system implements network structure in detection system, enhances the link between the bottom model and the upper management. Because of network delay existing in the distributed system, real-time transmission of information has become very important to the design of detection system. In this paper, based on the use of Truetime toolbox, a detection system modeling for simulation is built for stability performance of the system, which exists in different network delay and packet loss, etc. The conclusions will guide the design and analysis of distributed detection system. © 2010 IEEE.

关键词： distributed detection system Network delay CANbus Truetime

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A Soft-Hard Combination Decision Fusion Scheme for a Clustered distributed detection system with Multiple Sensors

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SENSORS 2018年第12期18卷 4370-4370页

作者： Luo, Junhai He, Xiaoting Univ Elect Sci & Technol China Sch Informat & Commun Engn Chengdu 611731 Sichuan Peoples R China

In the distributed detection system with multiple sensors, there are two ways for local sensors to deliver their local decisions to the fusion center (FC): a one-bit hard decision and a multiple-bit soft decision. Compared with the soft decision, the hard decision has worse detection performance due to the loss of sensing information but has the main advantage of smaller communication costs. To get a tradeoff between communication costs and detection performance, we propose a soft-hard combination decision fusion scheme for the clustered distributed detection system with multiple sensors and non-ideal communication channels. A clustered distributed detection system is configured by a fuzzy logic system and a fuzzy c-means clustering algorithm. In clusters, each local sensor transmits its local multiple-bit soft decision to its corresponding cluster head (CH) under the non-ideal channel, in which a simple and efficient soft decision fusion method is used. Between clusters, the fusion center combines all cluster heads' one-bit hard decisions into a final global decision by using an optimal fusion rule. We show that the clustered distributed system with the proposed scheme has a good performance that is close to that of the centralized system, but it consumes much less energy than the centralized system at the same time. In addition, the system with the proposed scheme significantly outperforms the conventional distributed detection system that only uses a hard decision fusion. Using simulation results, we also show that the detection performance increases when more bits are delivered in the soft decision in the distributed detection system.

关键词： distributed detection system soft decision hard decision clustering fuzzy logic system fuzzy c-means algorithm

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Study on the distributed detection system for Digital TV Signal Based on Prognostic and Health Management

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INTERNATIONAL JOURNAL OF ONLINE ENGINEERING 2013年第SPECIALISSUE.6期9卷 5-9页

作者： Luo, Rongliang Zheng, Xinyuan Zhejiang Univ City Coll Dept Comp Sci & Engn Hangzhou Zhejiang Peoples R China Zhejiang Broadcast Televis Technol Co Ltd Dept Dev Hangzhou Zhejiang Peoples R China

With continuous further development of cable television technology, the integrating and intelligent degree of digital TV network increases constantly. And people are paying more and more attention to issues such as the stability, reliability, maintainability, security, detectability, life cycle cost, etc. which may provide favorable conditions for the generation and development of prognostic and health management (PHM) of the network equipment. In this paper, the background knowledge of the distributed digital TV signals detection system was illustrated simply at first, and then the basic concept, function and current situation of PHM were introduced. On that basis, the system design of PHM was reflected from system structure and functional component by aiming at realizing this project. In the end, the equipment health examination module has been designed specifically from the operating principle, module composition, function realizing process and decision- making support.

关键词： Prognostic and Health Management distributed detection system Digital TV Signal

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PARAMETER ESTIMATION IN RELIABILITY MODELING OF distributed detection systemS

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IFAC Proceedings Volumes 2007年第6期40卷 19-24页

作者： Q. Long M. Xie S.H. Ng Department of Industrial & Systems Engineering National University of Singapore Singapore 119260

Most reliability models are associated with their own parameters which are typically estimated from the history data. For the widely used distributed detection system in fault detection, the system reliability depends on the number of normally working detectors and the accuracy of its local detectors. Parameters of the reliability model of distributed detection system are subject to random variation as the detection system may be used in different purposes and environments. Hence, to evaluate the reliability accurately, it is necessary to obtain the system parameters precisely from the test data we have. In this paper, we present a Bayesian approach to estimate the unknown parameters of distributed detection system from the scarce data and quantify the uncertainty on the system reliability by measure of variance. A simulation is conducted as well to calculate the effect on the system reliability from the uncertainty of the parameters. An example is applied to illustrate the parameter estimation by Bayesian approach.

关键词： distributed detection system Parameter estimation Reliability analysis Uncertainty Bayesian approach

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Maximum Entropy Attack on Decision Fusion With Herding Behaviors

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IEEE SIGNAL PROCESSING LETTERS 2024年 31卷 2500-2504页

作者： Lin, Yiqing Zhao, H. Vicky Tsinghua Univ Beijing Natl Res Ctr Informat Sci & Technol Dept Automat Beijing 100084 Peoples R China

The reliability and security of distributed detection systems have become increasingly important due to their growing prevalence in various applications. As advancements in human-machine systems continue, human factors, such as herding behaviors, are becoming influential in decision fusion process of these systems. The presence of malicious users further highlights the necessity to mitigate security concerns. In this paper, we propose a maximum entropy attack exploring the herding behaviors of users to amplify the hazard of attackers. Different from prior works that try to maximize the fusion error rate, the proposed attack maximizes the entropy of inferred system states from the fusion center, making the fusion results the same as a random coin toss. Moreover, we design static and dynamic attack modes to maximize the entropy of fusion results at the steady state and during the dynamic evolution stage, respectively. Simulation results show that the proposed attack strategy can cause the fusion accuracy to hover around 50% and existing fusion rules cannot resist our proposed attack, demonstrating its effectiveness.

关键词： Entropy Sensors Sensor fusion Steady-state Security Resists Indexes Adversarial signal processing decision fusion problem distributed detection system herding behaviors maximum entropy attack

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Stopping Amplified DNS DDoS Attacks Through distributed Query Rate Sharing 11

Stopping Amplified DNS DDoS Attacks Through Distributed Quer...

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11th International Conference on Availability, Reliability and Security (ARES)

作者： Verma, Saurabh Hamieh, Ali Huh, Jun Ho Holm, Henrik Rajagopalan, Siva Raj Korczynski, Maciej Fefferman, Nina Univ Minnesota Twin Cities Minneapolis MN 55455 USA Rutgers State Univ New Brunswick NJ USA Honeywell ACS Labs Golden Valley MN USA Forest Glen Res LLC Dayton OH USA Delft Univ Technol NL-2600 AA Delft Netherlands

ISBN: (纸本)9781509009909

An Amplified DNS DDoS (ADD) attack involves tens of thousands of DNS resolvers that send huge volumes of amplified DNS responses to a single victim host, quickly flooding the victim's network bandwidth. Because ADD attacks are distributed, it is difficult for individual DNS resolvers to detect them based on local DNS query rates alone. Even if a victim detects an ADD attack, it cannot stop the attacker from flooding its network bandwidth. To address this problem, we present a novel mitigation system called "distributed Rate Sharing based Amplified DNS-DDoS Attack Mitigation" (DRS-ADAM). DRS-ADAM facilitates DNS query rate sharing between DNS resolvers that are involved in an attack to detect and completely stop an ADD attack. Each DNS resolver quickly builds the global DNS query rate for potential victims by accumulating the shared rate values, and uses that global rate to make mitigation decisions locally. DRS-ADAM can be easily deployed through a small software update on resolvers and victim hosts, and does not require any additional server component. Our simulation results show that DRS-ADAM can contain the peak attack rates close to a victim's acceptable threshold values (which are far smaller than their sustainable bandwidth) at all times, regardless of the number of resolvers involved in ADD attacks. ADD attacks can be fully mitigated within a few seconds.

关键词： DDoS attack DNS amplification attack distributed detection system

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Design and implementation of continuous weak grating demodulation system

Design and implementation of continuous weak grating demodul...

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Conference on Optical Sensing and Imaging Technologies and Applications / International Symposium on Optoelectronic Technology and Application (OTA) / Annual Conference of the Chinese-Society-for-Optical-Engineering (CSOE)

作者： Wang, Zhaohui Jiang, Shan Li, Kai FiberHome Technol Grp Coll Informat Engn Wuhan 430000 Hubei Peoples R China FiberHome Technol Grp Wuhan 430000 Hubei Peoples R China

ISBN: (纸本)9781510623354

At present, the distributed detection system based on Bragg grating as sensor has become a hot spot at home and abroad due to its high precision, good long-term stability and easy detection. In ordering to improve the grating multiplexing capacity in grating sensor array, this paper proposes a new distributed the weak reflected Bragg grating temperature sensing network. The system is mainly composed of light source module, photoelectric conversion module, data acquisition module and data processing module, which combine the wavelength division multiplexing (WDM) with optical time-domain reflectometer (OTDR). And it has achieved simultaneous online monitoring of weak gratings at various central wavelengths through its homemade tunable multiwavelength light source. Due to the principle of grating reflection, the detection cycle of the system is about 1s without energy accumulation, shorter than the traditional sensing system. Because of using the OTDR, it can break through the limitation of light scanning bandwidth, and its single-channel measurement can be up to kilometers. As above, the system has many advantages, such as good real-time performance, large capacity, short response time, being able to adapt to a variety of work environment, etc.

关键词： distributed detection system Bragg grating WDM OTDR

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Local and Global Information Exchange for Enhancing Object detection and Tracking

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KSII TRANSACTIONS ON INTERNET AND INFORMATION systemS 2012年第5期6卷 1400-1420页

作者： Lee, Jinseok Cho, Shung Han Oh, Seong-Jun Hong, Sangjin Korea Univ Coll Informat & Commun Seoul 136713 South Korea Worcester Polytech Inst Dept Biomed Engn Worcester MA 01609 USA SUNY Stony Brook Dept Elect & Comp Engn Mobile Syst Design Lab Stony Brook NY 11794 USA

Object detection and tracking using visual sensors is a critical component of surveillance systems, which presents many challenges. This paper addresses the enhancement of object detection and tracking via the combination of multiple visual sensors. The enhancement method we introduce compensates for missed object detection based on the partial detection of objects by multiple visual sensors. When one detects an object or more visual sensors, the detected object's local positions transformed into a global object position. Local and global information exchange allows a missed local object's position to recover. However, the exchange of the information may degrade the detection and tracking performance by incorrectly recovering the local object position, which propagated by false object detection. Furthermore, local object positions corresponding to an identical object can transformed into nonequivalent global object positions because of detection uncertainty such as shadows or other artifacts. We improved the performance by preventing the propagation of false object detection. In addition, we present an evaluation method for the final global object position. The proposed method analyzed and evaluated using case studies.

关键词： visual sensor localization distributed detection system sensor network data combination information exchange

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