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检索条件"任意字段=3rd International Symposium on Information Processing in Sensor Networks"

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Distributed estimation from relative measurements in sensor networks 3

Distributed estimation from relative measurements in sensor ...

引用

3rd international Conference on Intelligent Sensing and information processing, ICISIP 2005

作者： Barooah, P. Hespanha, J.P.

ISBN: (纸本)0780395883

We consider the problem of estimating vector-valued variables from noisy "relative" measurements. The measurement model can be expressed in terms of a graph, whose nodes correspond to the variables being estimated and the edges to noisy measurements of the difference between the two variables. We take the value of one particular variable as a reference and consider the optimal estimator for the differences between the remaining variables and the reference. This type of measurement model appears in several sensor network problems, such as sensor localization and time synchronization. Two algorithms are proposed to compute the optimal estimate in a distributed, iterative manner. The first algorithm implements the Jacobi method to iteratively compute the optimal estimate, assuming all communication is perfect. The second algorithm is robust to temporary communication failures, and converges to the optimal estimate when certain mild conditions on the failure rate are satisfied. It also employs an initialization scheme to improve accuracy in spite of the slow convergence of the Jacobi method. © 2005 IEEE.

关键词： sensor networks

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Radar localization with multiple unmanned aerial vehicles using support vector regression 3

Radar localization with multiple unmanned aerial vehicles us...

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3rd international Conference on Intelligent Sensing and information processing, ICISIP 2005

作者： Sundaram, B. Palaniswami, M. Reddy, S. Sinickas, M. Dept. of EEE University of Melbourne Australia

ISBN: (纸本)0780395883

This paper presents a first attempt to solve the Geolocation problem using Support Vector Regression (SVR). This paper proposes a method to pinpoint the location of stationary, hostile radar using the Time Difference of Arrival (TDoA) of the same characteristic pulse emitted by the radar at 3 different Unmanned Aerial Vehicles (UAVs) flying in a fixed triangular formation. The performance of the proposed SVR method is compared with a variation of the Taylor Series Method (TSM) used for solving the same problem and currently deployed by the DSTO, Australia on the Aerosonde Mark III UAVs. The robustness to error of the SVR method is explored and compared with the TSM. Extended applications of the SVR approach to more general localization scenarios in Wireless sensor networks are proposed for further work. © 2005 IEEE.

关键词： Wireless sensor networks

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Utility max-min fair flow control for heterogeneous sensor networks

Utility max-min fair flow control for heterogeneous sensor n...

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3rd Intelligent sensors, sensor networks and information processing Conference

作者： Jin, Jiong Wang, Wei-Hua Palaniswami, Marimuthu Univ Melbourne Dept Elect & Elect Engn Melbourne Vic 3010 Australia

ISBN: (纸本)9781424415014

This paper considers flow control and resource allocation problem as applied to heterogeneous sensor networks with multipath routing. As heterogeneous sensor networks consist of diverse sensor types and applications, either elastic data collecting or real-time monitoring, the utility functions (a model of performance) of these applications do not consistently stay concave. By virtue of this, the traditional optimal flow control approach, which requires the utility function to be strictly concave, is no longer applicable. Therefore, we propose a novel utility-based flow control algorithm that is able to allocate the resources (both wireless channel usage and sensor node energy) efficiently and guarantee the application performance in a max-min fair manner Furthermore, by combining a first order Lagrangian method and filtering mechanism, the typical oscillation behavior for the multipath network is alleviated and a rapid convergence property is possessed.

关键词： Flow control

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3D vision measurement method and realization technique based on radical basis function

3D vision measurement method and realization technique based...

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3rd international symposium on Multispectral Image processing and Pattern Recognition

作者： Peng, WD Dong, ZL Sun, MX Liuhui Shenyang Univ Technol Sch Informat Sci & Engn Shenyang Peoples R China

ISBN: (纸本)0819451819

A new vision location method based on radical basis function networks (RBFN) is presented in this paper. It fully utilizes the excellent ability of RBFN to approach the nonlinear mapping and have a good performance of high learning rate and adapting the different environment generalization. It sets tip a non-linear relationship between the space sample points and the corresponding image information by learning, instead of traditional calibration method, and can be used for 3D measurement. In our lab. it was applied to 3D vision location system based on a multi-linear photoelectrical sensor system. The experiment proves that it can quickly realize high-accuracy space location. This method could be supplied as a new one to solve the 3D space location problem.

关键词： locating technique position measurement position sensitive detector (PSD) radical basis function networks (RBFN) k-means least squares (LS)

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A new design of efficient key pre-distribution scheme for secure wireless sensor networks

A new design of efficient key pre-distribution scheme for se...

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3rd international Conference on Intelligent information Hiding and Multimedia Signal processing

作者： Huang, Hui-Feng Natl Taichung Inst Technol Dept Informat Management Taichung 404 Taiwan

ISBN: (纸本)9780769529943

sensor networks are widely used for applications such as environmental monitoring, airports safety, health care, etc. Owing to the property of sensor devices, the sensor networks are easily compromised by an attacker who sends forged or modified messages. Therefore, the security is very important in the sensor networks. However, the traditional asymmetric cryptography such as Diffie-Hellman key agreement or RSA cryptography system are impractical for the sensor network due to limited computation, energy resources of sensor nodes, and network dynamics, etc. This paper will present a new efficient key pre-distribution scheme for secure wireless sensor network. It provides that any pair of sensor nodes can find a common secret key between them with simple calculation. Compared with previous proposed key pre-distribution schemes, the proposed method could significantly improve the performance and energy efficiency of the sensor nodes. It is very suitable for the sensor nodes that are limited in power, computational capacities, and memory.

关键词： sensor nodes

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Hybrid data aggregation algorithm for energy efficient wireless sensor networks 3

Hybrid data aggregation algorithm for energy efficient wirel...

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3rd international Conference on Intelligent Communication Technologies and Virtual Mobile networks, ICICV 2021

作者： Deepakraj, D. Raja, K. Annamalai University Faculty of Science Dept. of Computer and Information Science Chidambaram Tamilnadu India Annamalai University Faculty of Engineering and Technology Department of Information Technology Chidambaram Tamilnadu India

ISBN: (纸本)9780738111834

The Wireless sensor networks are pertained in several applications like agriculture, security areas that the node density for the gathered data through the various types of sensor which has the problem of redundancy and it must be avoided through data aggregation technique. This paper demonstrates the Hybrid Data Aggregation Algorithm (HDAA) for providing data processing in real-time. Initially, the network is constructed into cluster members that the cluster head has been elected according to the ranking of the sensors according to the location from the base station, energy level. The aggregation is applied to the real-time application that every sensor node has been prioritized in energy-efficient way. The simulation results prove that the proposed technique reduces the energy consumption and communication delays which automatically enhancing the network lifetime. © 2021 IEEE.

关键词： Energy efficiency

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A better range-free localization algorithm in wireless sensor networks

A better range-free localization algorithm in wireless senso...

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3rd international symposium on Computer, Consumer and Control (IS3C)

作者： Liu Yan Zhang Yaming Xian Univ Sci & Technol Sch Commun & Informat Engn Yanta Rd 58 Xian 710054 Shaanxi Peoples R China Xian Shiyou Univ Sch Elect Engn 182nd Dianzi Rd Xian 710065 Shaanxi Peoples R China

ISBN: (纸本)9781509030712

Localization is a fundamental issue for many applications in wireless sensor networks. This paper proposes a better range-free algorithm based on DV-Hop, which increases localization accuracy without increasing hardware or communication costs. First, this algorithm utilizes average hop-size correction to reduce ranging errors. Second, the algorithm uses an improved equation solving method to reduce the impact of errors inherent in distance measurement, and the weighted least square method to improve localization accuracy. Finally, the algorithm uses additional information in the equation solving process to correct node coordinates. Simulation results show that the performance of the proposed algorithm is significantly better than the basic DV-Hop algorithm and other similar algorithms.

关键词： wireless sensor networks node localization range-free maximum likelihood estimation DV-Hop

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Image processing technologies in intelligent transportation systems

Image processing technologies in intelligent transportation ...

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3rd international symposium on Multispectral Image processing and Pattern Recognition

作者： Wang, Z Liu, JL Zhejiang Univ Dept Informat Sci & Elect Engn Inst Informat & Commun Engn Hangzhou 310027 Peoples R China

ISBN: (纸本)0819451819

Nowadays in intelligent transportation systems (ITS), information gathering depends heavily on visual information. Image processing technologies (IPT) play a key role. After a brief introduction of ITS, IPT is illustrated from three aspects: image sensor, image processing methods and image processing system. Among many applications for image processing in ITS, the paper presents a roadside example, license plate recognition (LPR). Attention is centered around two aspects of LPR: plate character isolation and plate character recognition. Lastly, the paper indicates the trends of image-processing technologies in ITS.

关键词： image processing intelligent transportation system (ITS) image sensor inter-frame processing intra-frame processing license plate recognition (LPR)

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Research on optoelectronic image identifying technology of biomolecule encoding

Research on optoelectronic image identifying technology of b...

引用

3rd international symposium on Advanced Optical Manufacturing and Testing Technologies

作者： Li, Bangxu Yuan, Xiuhua Cao, Yuting Huazhong Univ Sci & Technol Sch Optoelect Sci & Engn Wuhan 430074 Hubei Peoples R China

ISBN: (纸本)9780819468802

An innovation way to detect and identify biomolecule encoding is studied and a practical optical-mechanical-electrical integrative sensor system is accomplished, for which, a comprehensive analysis of the spectrum information, grayscale information as well as the location information is conducted. In our system, a LED as a light source, is used to provide a uniform illumination, and a CCD image sensor is used to obtain gray grading information of biomolecule encoding chip. And then, Wavelet analysis technology is used to eliminate noise and smooth the image signals. The location of each encoding dot and its average gray can be realized automatically by means of these methods, the features of the biomolecule encoding can be identified. And all of the characteristics on molecule encoding are displayed on screen in several different ways finally. Compared with NMR and IR technique, our design of the system is small in size, easy to operate and low cost.

关键词： biomolecule encoding photoelectric detection CCD imaging technology image processing wavelet transform

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Caching for Distributed Parameter Estimation in Wireless sensor networks

Caching for Distributed Parameter Estimation in Wireless Sen...

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IEEE international Conference on Communications (ICC) / Wireless Communications symposium / 3rd Workshop on Optical Wireless Communications (OWC)

作者： Chennakesavula, Pradeep Hong, Y. -W. Peter Scaglione, Anna Natl Tsing Hua Univ Inst Commun Engn Hsinchu Taiwan Arizona State Univ Dept Elect & Comp Engn Tempe AZ 85287 USA

ISBN: (纸本)9781467389990

This work examines a cross-layered caching problem for distributed estimation in wireless sensor networks (WSNs). In WSNs, large amounts of data are produced continuously over time, and storing all the data collected from the sensors can be costly. In distributed estimation applications, sensors first gather information about a common phenomenon, and then forward the information to a fusion center where the final estimate is computed. By assuming that the parameters are correlated over time, the estimation quality at the fusion center can be improved by combining both present and past information, where the latter can be obtained from cached data. Different from conventional caching problems, where the goal is to reconstruct the sensors' observations, our caching strategy is designed to minimize the long term average mean-square error (MSE) of the final estimate. This problem can be modelled as a Markov decision process but, due to the curse of dimensionality, is solved here using a greedy one-step-ahead caching strategy, which only minimizes the expected MSE in the next time slot. This results in a nonlinear fractional programming problem that is solved approximately using semi-definite relaxation and a modified Dinkelbach's algorithm. The effectiveness of the proposed scheme is demonstrated through numerical simulations.

关键词： Wireless sensor networks Estimation sensor fusion Linear programming Signal processing sensor phenomena and characterization

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