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检索条件"任意字段=Conference on Sensor Fusion - Architectures, Algorithms, and Applications"

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Revisiting Key-Swapping Collusion Attack on Distributed sensor Networks

Revisiting Key-Swapping Collusion Attack on Distributed Sens...

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International conference on sensor Technologies and applications, sensorComm

作者： Thanh Dai Tran Johnson I. Agbinya Faculty of Engineering and Information Technology Sydney University of Technology Sydney NSW Australia Faculty of Engineering and Information Technology University of Technology-Sydney Sydney NSW Australia

Recent study has demonstrated that quite a few well-know pairwise key establishment schemes are susceptible to key-swapping collusion attack aiming to subvert crucial applications that require cooperative efforts, e.g., data fusion algorithms, routing protocols, etc. Previous works against this attack have shown their own limitations. To overcome these limitations, we propose a new countermeasure in this paper. Our approach makes good use of symmetric-key cryptographic primitives and a hidden one-way hash chain to avoid unreasonable assumptions and/or costly methods, and guarantee network scalability. The intensive security analysis reveals that the countermeasure eliminates the possibility of the attack under normal conditions with only a tiny increase in under the worst case. This susceptibility can be eliminated by some additional mechanisms. Lastly, performance overheads are well justified by theoretical analyses and simulation to be suitable for current sensor node generations.

关键词： Encryption Elliptic curve cryptography Protocols Servers

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Data Aggregation with Spatially Correlated Grouping Technique on Cluster-Based WSNs

Data Aggregation with Spatially Correlated Grouping Techniqu...

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International conference on sensor Technologies and applications, sensorComm

作者： Chuan-Yu Cho Chun-Lung Lin Yu-Hung Hsiao Jia-Shung Wang Kai-Chao Yang Department of Computer Science National Tsing Hua University Taiwan National Chip Implementation Center Taiwan

Wireless sensor networks have received considerable attention in recent years due to their invaluable potential applications. To achieve long-term deployment, in-network aggregation has been studied and argued as an effective data reduction technique. In this paper, an efficient algorithm to construct and maintain aggregation architecture in cluster-based sensor networks, such as LEACH, is proposed. The architecture takes the spatial and temporal correlations among nodes into account simultaneously to develop the suppression strategies. The main idea is to organize nodes inside the same cluster into highly spatial-correlated groups. One representative node of each group will be selected as base node used as a reference for compressing (using linear regression) the transmissions of the nodes inside the same group. The proposed architecture was evaluated on the real dataset, Intel Lab dataset, and the results indicate that a large amount of transmissions can be reduced without introducing large errors. In contrast to the existing aggregation architectures, such as TAG and TiNA, the results also portray that the hybrid architecture can perform better by considering both spatial and temporal correlations simultaneously.

关键词： Correlation Technical Activities Guide - TAG Wireless sensor networks Clustering algorithms Computer architecture Linear regression Algorithm design and analysis

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Fusing image data with location and orientation sensor data streams for consumer video applications

Fusing image data with location and orientation sensor data ...

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IEEE Computer Society conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

作者： Yoram Gat Igor Kozintsev Oscar Nestares Intel Labs Intel Corporation Santa Clara CA USA

We discuss the problem of fusing the information in a video stream with synchronized streams of location and orientation data obtained from sensors attached to the video camera. We are interested in using this information for the reconstruction of camera trajectory and observed scenery from consumer videos with the objective of visualizing those in a 3D virtual environment. We review existing literature and applications and suggest application scenarios for personal video. We discuss the issues that distinguish the personal video application from similar applications and present outlines of algorithms for several consumer video application scenarios.

关键词： Image sensors Streaming media Cameras Virtual environment Layout sensor fusion Image reconstruction sensor phenomena and characterization Data visualization Video sequences

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A Framework for Golf Training Using Low-Cost Inertial sensors

A Framework for Golf Training Using Low-Cost Inertial Sensor...

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International Workshop on Wearable and Implantable Body sensor Networks (BSN)

作者： Ryan Burchfield S. Venkatesan University of Texas Dallas Richardson TX USA

Body sensor Networks are rapidly expanding to everyday applications due to recent advancements in Micro-Electro-Mechanical Systems (MEMS) sensing, wireless communication and power management technologies. We leverage these advancements to develop a framework for the use of MEMS inertial sensors as a low-cost putting coach for golf. Accurate putting requires substantial control and precision that is acquired via significant practice. Unfortunately, many golfers are not aware that they are practicing flawed mechanics. An electronic coach has the capability to point out these flawed movements before they become the norm. Our framework is the first step to an electronic coach and consists of a model for a putting swing, the design of a custom sensor platform and the implementation of signal processing functions to accurately estimate the trajectory of the golf club. Based upon our model we propose the use of sensor fusion algorithms to increase accuracy without increasing hardware demands. The accuracy of the system is experimentally evaluated using a controlled test platform.

关键词： Micromechanical devices Signal processing algorithms Management training Body sensor networks Microelectromechanical systems Wireless communication Energy management Technology management Power system management Communication system control

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Cellular multi-core fusion-tracking system

Cellular multi-core fusion-tracking system

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IEEE International Workshop on Cellular Nanoscale Networks and their applications, (CNNA)

作者： Csaba Rekeczky Tibor Kozek Eutecus Inc. Berkeley CA USA Imagize LLC Berkeley CA USA

ISBN: (纸本)9781424466795;9781424466788

A novel real-time signal processing device has been designed and implemented for improved target feature extraction, discrimination, and tracking. The device utilizes a unique combination of advanced signal processing techniques for multi-spectral fusion and image analysis. It incorporates state-of-the-art algorithm and the associated electronics to combine the functions of a multi-spectral fusion (MSF) engine and a multi-target tracking and discrimination (MTTD) engine. The resulting compact MSF-MTTD system, currently is capable of processing image flows from two external sensors (e.g. infrared and visible) by utilizing the processing power of massively parallel cellular nonlinear processor architectures at different levels of processing. Within this framework topographic data fusion (Stage 1) is followed by parallel feature extraction (Stage 2) and the analysis, tracking and discrimination (Stage 3) of multiple targets at ultra-high frame rates (>1000 fps). The compact (<2in ¿ 3) light-weight (<25 g), low-power (<5 W for the entire system) prototype of the multi-core MSF-MTTD engine and system has been implemented on high-end FPGAs and will be described in this paper.

关键词： Signal processing algorithms Target tracking Engines Feature extraction Infrared image sensors Signal design Image analysis sensor systems Prototypes Field programmable gate arrays

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A Novel Dvs Algorithm for Distributed fusion sensor System

A Novel Dvs Algorithm for Distributed Fusion Sensor System

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International conference on Advances in Computer Engineering (ACE)

作者： V.L. Sreenivaas S. Gayathri Dwibhashi Sharat S. Swathi P. Harish EIE Dept RMKEC Chennai India IT Dept. RMDEC Chennai India RCET/EEE Dept. Bhilai Chattisgarh India

Distributed fusion sensor system will enable the reliable monitoring and control of a variety of applications for remote environment monitoring. The sensors have to be designed in a highly integrated fashion, optimizing across all levels of system abstraction, with the goal of minimizing energy dissipation. Crucial to long system lifetimes for these micro sensors are algorithms and protocols that provide the option of trading quality for energy savings. Dynamic Voltage Scaling (DVS) has been a key technique in exploiting the hardware characteristics of processors to reduce energy dissipation by lowering the supply voltage and operating frequency. In this paper a novel DVS algorithm is presented, which achieves dynamic voltage scaling on the sensor node's processor enables energy saving and been demonstrated using a commercial processor, a digitally adjustable DC-DC regulator and a power aware operating system. The simulations results show that up to 60% less energy is consumed with DVS than with a fixed supply voltage.

关键词： Voltage control sensor systems Dynamic voltage scaling Remote monitoring Energy dissipation sensor phenomena and characterization Control systems Design optimization Protocols Hardware

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A Multi-Disciplinary University Research Initiative in Hard and Soft information fusion: Overview, research strategies and initial results

A Multi-Disciplinary University Research Initiative in Hard ...

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International conference on Information fusion

作者： James Llinas Rakesh Nagi David Hall John Lavery Department of Industrial and Systems Engineering State University of New York University at Buffalo Buffalo NY USA School of Information Sciences and Technology Pennsylvania State University University Park PA USA Army Research NC USA

The University at Buffalo (UB) Center for Multisource Information fusion (CMIF) along with a team including the Pennsylvania State University (PSU), Iona College (Iona), and Tennessee State University (TSU) is conducting research to develop a generalized framework, mathematical techniques, and test and evaluation methods to address the ingestion and harmonized fusion of Hard and Soft information in a distributed Level 1 and Level 2 data fusion environment. The primary Research Thrusts addressed are framed around the major functional components of the JDL fusion Process; these include: 1. Source Characterization of Soft Data input streams including; human observation-direct, indirect, open source inputs, linguistic framing, and text processing. 2. Common Referencing and Alignment of Hard and Soft Data, especially strategies and methods for meta-data generation for Hard-Soft data normalization. 3. Generalized Data Association Strategies and algorithms for Hard and Soft Data. Robust Estimation Methods that exploit associated Hard and Soft Data. 5. Dynamic Network-based Effects on Hard-Soft Data fusion architectures and Methods. 6. Test and Evaluation Methodology Development to include Human-in-the-Loop. 7. Extensibility, Adaptability, and Robustness Assessment. 8. fusion Process Framework. 9. Technology Concept of Employment. This program is a large, 5-year effort and considered distinctive in being a major academic thrust into the complexities of the hard and soft fusion problem. This paper summarizes the research strategy, the early technology decisions made, and the very early results of both design approaches and prototyping.

关键词： Humans Feature extraction sensor fusion Semantics Pragmatics Uncertainty

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A novel anchor-free position algorithm based on cluster technique

A novel anchor-free position algorithm based on cluster tech...

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International conference on Software Technology and Engineering (ICSTE)

作者： Xingfu Wang Renzhi Cao Qiuyuan Huang Zineng Ke Zhiqiang Liu School of Computer Science and Technology University of Science and Technology Hefei China

ISBN: (纸本)9781424486670

The WSN has a large spectrum of applications, and most of the applications are associated with position information. Considering the hostile environment of the sensors, it is very important to acquire the node's position without GPS. This paper proposes one novel anchor-free algorithm based on cluster technique, node's energy is considered, connective degree and the geometric limit principles of triangle inequality to heuristically build clusters, then fuse the clusters into one cluster. This algorithm effectively solves the position problem without any anchor node, conquer the cumulative error problem in traditional anchor-free algorithm, improve the localization precision and save the sensors energy. Simulation results show that after improving the fusion section, our algorithm can improve localization precision by 30% to 70% comparing to the traditional algorithm ABC.

关键词： Clustering algorithms Wireless sensor networks Heuristic algorithms sensors Software algorithms Distance measurement Algorithm design and analysis

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Tradeoffs among Delay, Energy and Accuracy of Partial Data Aggregation in Wireless sensor Networks

Tradeoffs among Delay, Energy and Accuracy of Partial Data A...

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International conference on Advanced Information Networking and applications (AINA)

作者： Wuyungerile Li Masaki Bandai Takashi Watanabe Faculty of Information Shizuoka University Hamamatsu Japan

Due to the Recent development in wireless technology, wireless sensor networks attract researchers' attention because of their applicability in many fields for effective collection of sensing data with low cost. Wireless sensor networks have many applications; some of the applications are military application, environmental application and flood detection. For example, in an environmental application for forest fire detection, the sensor nodes sense the fire information, then transmit or relay the information to base station in a multi-hop way. In wireless sensor networks, energy saving is critical issue as sensor nodes are battery-powered. Here we propose, partial data aggregation as one of the energy saving technique. In this paper, we analyze the tradeoffs among communication delay, energy consumption, and data accuracy of the partial data aggregation technique and discuss the results. First, we analyze the partial data aggregation with Markovian chain; analytical result shows that, non-aggregation method suffers large energy consumption while full aggregation suffers long transmission delay. From the analysis results, we find that the proposed partial aggregation method WRP (Waterfalls Random partial aggregation) can trade off energy consumption and transmission delay. Thus, we discuss the tradeoffs among data accuracy, transmission delay and energy consumption with different criteria and parameters. The results show that we could control the significance of transmission delay, energy consumption and data accuracy by tradeoffs index (TOI). We also analyze the several applications of wireless sensor networks with different significance based on the TOI. From the observed results, we found that we could set the significance of transmission delay, energy consumption and data accuracy for different applications based on different criteria TOI. Thus, by evaluating and comparing the criteria with different data generation rate as well as aggregation factor, we get the

关键词： Wireless sensor networks Energy consumption Routing protocols sensor fusion Approximation algorithms Fires Base stations Delay effects Costs Relays

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One-Bit Quantizer Design for Distributed Estimation under the Minimax Criterion

One-Bit Quantizer Design for Distributed Estimation under th...

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IEEE conference on Vehicular Technology (VTC)

作者： Tao Wu Qi Cheng School of Electrical and Computer Engineering Oklahoma State University Stillwater OK USA

In this paper, we study one-bit quantizer design for distributed estimation under the minimax criterion for wireless sensor network (WSN) applications. Identical local quantizers are generally difficult to design because of the dependence on the unknown parameter under estimation. Nonidentical local quantizers are more robust in that sense. However, its design generally involves multi-dimensional optimization, which is computationally complex and the complexity increases with the number of sensors in the WSN. By studying the optimal nonidentical quantizers of M sensors, two quantizer structures are proposed. One is the sinusoid function, i.e., the quantization thresholds at M sensors follow a sinusoid function. The other is the more general raised cosine function, which requires two-dimensional optimization. The Nelder-Mead optimization method is adopted, which is simplex-based search directly using objective function values. Simulation results show that the quantizers with proposed structures outperform the intuitive uniform quantizer design. The raised cosine structure achieves near optimal performance.

关键词： Minimax techniques Quantization Wireless sensor networks Performance loss Parameter estimation State estimation Optimization methods Environmental management Signal processing algorithms sensor fusion

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