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16th IEEE International Conference on Mobile Ad Hoc and Smart Systems (IEEE MASS)

作者： Geng, Baocheng Varshney, Pramod K. Syracuse Univ Dept Elect Engn & Comp Sci Syracuse NY 13244 USA

ISBN: (纸本)9781728146010

Human behavior while decision making is quite complex and uncertain. There are fundamental differences between traditional decision making systems based on sensor data and systems where the agents in the decision making process include humans. The modeling and analysis of human-machine collaborative decision making has become an important research area due to the potential applications in a variety of complex autonomous systems. Incorporating human inputs with physical sensors can be advantageous in enhancing situational assessment for certain situations, and at the same time, brings in technical challenges such as how to characterize the human decision making behavior. In this paper, we discuss some aspects of human-machine networks by focusing on three schemes that include collaborative human decision making with random local thresholds, decision fusion in integrated human-machine networks and binary decision making under cognitive biases. In each case, we aim to optimize the system performance based on appropriate modeling of the human behavior. We also provide a summary of current challenges and research directions related to this problem domain.

关键词： Human-machine networks human behavioral analysis human decision making multi-modal fusion distributed detection

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Decision Fusion for Clustered WSNs over IoT Infrastructure using 1-bit Quantization

Decision Fusion for Clustered WSNs over IoT Infrastructure u...

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International Conference on Electrical and Computing Technologies and Applications (ICECTA)

作者： Al-Jarrah, M. A. Yaseen, M. A. Al-Dweik, A. Univ Manchester Sch Elect & Elect Engn Manchester M13 9PL Lancs England Arab Univ Coll Technol Dept Elect Engn POB 926845 Amman Jordan Khalifa Univ Ctr Cyber Phys Syst POB 127788 Abu Dhabi U Arab Emirates

ISBN: (纸本)9781728155326

This paper considers the decision fusion problem for wireless sensor networks (WSNs) where the decisions are transmitted to the fusion center (FC) over Internet-of-Things (IoT) infrastructure. The WSN is configured that each group of sensors transmit their decisions about a certain phenomenon to a cluster-head, and all cluster heads forward the decisions to the a remote FC that is hosted on the cloud. To improve the system spectral and power efficiency, we use 1-bit quantization at the sensor and cluster-head levels. Moreover, 1-bit censoring based quantizers are proposed where the cluster-head forwards only the reliable sensing data to the FC, while dropping the unreliable data. At the FC, the received data are fused to obtain the final decision. The obtained numerical results evaluated for several operating scenarios show that the 1-bit quantization process can produce reliable global decisions while saving the power and bandwidth.

关键词： Internet of things (IoT) data fusion wireless sensor network WSN fusion rule distributed detection

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On Covert Data Falsification Attacks on distributed detection Systems

On Covert Data Falsification Attacks on Distributed Detectio...

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International Symposium on Communications and Information Technologies

作者： Bhavya Kailkhura Yunghsiang S. Han Swastik Brahma Pramod K. Varshney Department of EECS Syracuse University NY 13244 USA Department of EE National Taiwan University of Science and Technology Taiwan ROC

ISBN: (纸本)9781467355797

In distributed detection systems, nodes make one bit decisions regarding the presence of a phenomenon and collaboratively make a global decision at the fusion center (FC). The performance of such systems strongly depends on the reliability of the nodes in the network. The robustness of distributed detection systems against attacks is of utmost impor- tance for the functioning of distributed detection systems. The distributed nature of such systems makes them quite vulnerable to different types of attacks. In this paper, we introduce the problem of intelligent data falsification attacks on distributed detection systems. First, we propose a scheme to detect data falsification attacks and analytically characterize its performance. Next, we obtain the optimal attacking strategy from the point of view of a smart adversary to disguise itself from the proposed detection scheme while accomplishing its attack.

关键词： distributed detection Data falsification attack Byzantines

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POWER ALLOCATION FOR distributed detection IN A MULTIPLE-RING CLUSTER

POWER ALLOCATION FOR DISTRIBUTED DETECTION IN A MULTIPLE-RIN...

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IEEE Statistical Signal Processing Workshop (SSP)

作者： Laitrakun, Seksan Coyle, Edward J. Georgia Inst Technol Sch ECE Atlanta GA 30332 USA

ISBN: (纸本)9781467301831

Power Allocation (PA) strategies are evaluated for distributed detection in a single-hop, multiple-ring cluster. The detection Error Probability (DEP) is affected by the observation Signal-to-Noise Ratios (SNRs), the channel SNRs, and node distances. We seek the PA maximizing the total expected deflection coefficient of the received signals at the fusion center under different constraints: a total power constraint and a per-ring power constraint. Both optimization problems are convex, so the Karush-Kuhn-Tucker conditions lead to analytical expressions for the optimal PA. The DEPs from a uniform PA and the proposed PA are compared for various observation SNRs, channel SNRs, number of nodes, and number of rings.

关键词： distributed detection power allocation water-filling solution censoring

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Iterative distributed Amplitude Optimization for distributed detection in Wireless Sensor Networks

Iterative Distributed Amplitude Optimization for Distributed...

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IEEE 75th Vehicular Technology Conference (VTC Spring)

作者： Choi, Jinho Ha, Jeongseok Swansea Univ Coll Engn Swansea W Glam Wales Korea Adv Inst Sci & Technol Dept Elect Engn Daejeon South Korea

ISBN: (纸本)9781467309905;9781467309882

In this paper, an iterative distributed approach is studied for the signal amplitude optimization when the distributed detection is carried out with a symmetric signaling constraint in a wireless sensor network (WSN) consisting of a fusion center (FC) and multiple sensors. In the conventional distributed detection, if sensors' characteristics change due to aging problems or varying operating conditions, they have to be available at the FC for a best combining result. On the other hand, in the proposed approach, each sensor can adjust its signal amplitude using a type-based multiple access (TBMA) technique to provide a best performance at the FC through an iterative approach without sending their individual characteristics.

关键词： wireless sensor networks distributed detection distributed optimization

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A Hierarchical Model for distributed detection with Conditionally Dependent Observations

A Hierarchical Model for Distributed Detection with Conditio...

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IEEE 7th Sensor Array and Multichannel Signal Processing Workshop (SAM)

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

ISBN: (纸本)9781467310710

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 Observations Likelihood Quantizer

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TRAFFIC ESTIMATION FOR MAC PROTOCOLS IN distributed detection WIRELESS SENSOR NETWORKS

TRAFFIC ESTIMATION FOR MAC PROTOCOLS IN DISTRIBUTED DETECTIO...

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20th European Signal Processing Conference (EUSIPCO)

作者： Aldalahmeh, Sami Ghogho, Mounir Univ Leeds Leeds LS2 9JT W Yorkshire England

ISBN: (纸本)9781467310680

A major challenge in designing MAC protocols for wireless sensor networks (WSN) is the uncertainty about the traffic offered by network, which usually forces conservative assumptions leading to a degradation in throughput and delay performance. Traffic estimation is discussed here in the context of the distributed detection WSNs (DD-WSNs). We approach this issue by first showing that the traffic has a Poisson distribution via stochastic geometry tools. Then the traffic is estimated via two algorithms, the least conditional maximum a priori (lcMAP) estimator and the regularized maximum likelihood estimator (rMLE). To measure the correlation between supplied communication resources and needed resources by the WSN, we propose the supply demand ratio (SDR) as a metric. Simulation results shows that both estimators achieve a performance close to the optimal MAP estimator under low channel SNR, hence transmission energy can be saved. Furthermore, the rMLE achieves the optimal SDR via choosing regularization factor value.

关键词： Traffic estimation distributed detection stochastic geometry wireless sensor networks

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distributed detection in Landslide Prediction Based on Wireless Sensor Networl(s

Distributed Detection in Landslide Prediction Based on Wirel...

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World Automation Congress

作者： Zhao Yu Shouzhi Xu Shuibao Zhang Xiaomei Yang College of Computer and Information Technology China Three Gorges University Yichang 443002 P. 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 realtime 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 the distributed detection algorithm are mainly analysed. The stram data are modeled using variable mean of Gaussian process. Miss alarm ratio is a critical performance parameter to landslide prediction. Comparing with centralized detection method, simulation result shows that distributed detection algonthm 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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Optical Fiber Sensor Based In-Field Structural Performance Monitoring of Multilayered Asphalt Pavement

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JOURNAL OF LIGHTWAVE TECHNOLOGY 2018年第17期36卷 3624-3632页

作者： Wang, Huaping Xiang, Ping Jiang, Lizhong Cent S Univ Sch Civil Engn Changsha 410075 Hunan Peoples R China Hong Kong Polytech Univ Hong Kong Hong Kong Peoples R China Natl Engn Lab High Speed Railway Construct Changsha 410075 Hunan Peoples R China

The durability, robustness, and long-term stability of optical-fiber-based sensors applied to practical engineering have always been challenging problems. Refer to the sensors embedded in asphalt pavements, the situation becomes serious and feasible sensors with enhanced function are in high demand. Therefore, an improved design to configure the quasi-distributed and distributed optical fiber sensors and FBG-based point sensors for monitoring the three-dimensional information of multilayered asphalt pavements is needed. The in-field data declare that the transversal, longitudinal, and vertical deformations of the tested urban asphalt pavement are mainly affected by temperature. The M-shape strain profile induced by heavy vehicles can decrease to the regular state in approximately 30 min after unloading. The tested asphalt pavement presents good structural performance to bear the tensile strain and permanent deformation. The high survival ratio and the good robustness of the proposed sensors against the harsh construction and operation environment validate the feasibility and reliability for the long-term monitoring. Improved design proposals on the construction scheme of asphalt pavement are also addressed to control the strain of the established asphalt concrete course in relatively low level.

关键词： Asphalt pavement condition assessment distributed detection in-field monitoring optical fiber based sensor packaging measure

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Whac-A-Mole: Smart node positioning in clone attack in wireless sensor networks

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COMPUTER COMMUNICATIONS 2018年第Apr.期119卷 66-82页

作者： Ben Jaballah, Wafa Conti, Mauro File, Gilberto Mosbah, Mohamed Zemmari, Akka Univ Padua Dept Math Padua Italy Univ Bordeaux CNRS UMR 5800 LaBRIBordeaux INP Bordeaux France

Wireless sensor networks are often deployed in unattended environments and, thus, an adversary can physically capture some of the sensors, build clones with the same identity as the captured sensors, and place these clones at strategic positions in the network for further malicious activities. Such attacks, called clone attacks, are a very serious threat against the usefulness of wireless networks. Researchers proposed different techniques to detect such attacks. The most promising detection techniques are the distributed ones that scale for large networks and distribute the task of detecting the presence of clones among all sensors, thus, making it hard for a smart attacker to position the clones in such a way as to disrupt the detection process. However, even when the distributed algorithms work normally, their ability to discover an attack may vary greatly with the position of the clones. We believe this aspect has been greatly underestimated in the literature. In this paper, we present a thorough and novel study of the relation between the position of clones and the probability that the clones are detected. To the best of our knowledge, this is the first such study. In particular, we consider four algorithms that are representatives of the distributed approach. We evaluate for them whether their capability of detecting clone attacks is influenced by the positions of the clones. Since wireless sensor networks may be deployed in different situations, our study considers several possible scenarios: a uniform scenario in which the sensors are deployed uniformly, and also not uniform scenarios, in which there are one or more large areas with no sensor (we call such areas "holes") that force communications to flow around these areas. We show that the different scenarios greatly influence the performance of the algorithms. For instance, we show that, when holes are present, there are some clone positions that make the attacks much harder to be detected. We believe that

关键词： Clone detection distributed detection Smart node positioning

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