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

共 1447 条记录，以下是261-270 订阅

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Optimal deployment for wireless sensor networks using lifetime expectation estimation

Optimal deployment for wireless sensor networks using lifeti...

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

作者： Wang, Chu-Fu Lee, Chun-Chia Chu, Hui-Sheng Natl Pingtung Univ Educ Dept Comp Sci Pingtung 90044 Taiwan

ISBN: (纸本)9780769529943

This paper considers a sensor deployment problem of a hierarchical cluster-based Wireless sensor Network (WSN), which consists of sensor clusters scattered over a sensing region. We formulated the sensor deployment as a network optimization problem called the OSCDP (Optimum sensor Cluster Deployment Problem). Given a fixed quantity of total energy power of sensors for deployment and a static routing scheme, the OSCDP aims to determine the amount of energy deployed in each cluster such that the network lifetime expectation will be maximized. We propose an exact algorithm to provide the optimum solution to the OSCDP. The simulation results show that this solution performed better in prolonging the network lifetime of a WSN, compared to other conventional deployment schemes.

关键词： Wireless sensor networks

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Thermocouple signal conditioning with genetic optimizing RBF neural networks

Thermocouple signal conditioning with genetic optimizing RBF...

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2011 IEEE 3rd international Conference on Communication Software and networks, ICCSN 2011

作者： Li-Hui, Guo Wu, Wang Xiao-Bo, Jiao Xuchang University School of Electrical and Information Engineering Xuchang China Xuchang Electric Power Company Power Telecommunication Center Xuchang China

ISBN: (纸本)9781612844855

Thermocouple sensor for temperature measurement has been widely used, however, the increase of precision is constrained due to the shortcoming of hardware based or table look up method, especially with nonlinear adjustment and cold end compensation. A new method was presented to compensate nonlinearity and cold-side-offset for signal processing of thermocouple with RBF neural networks. The structure of RBF neural networks was proposed and optimized with genetic algorithm, the principle of temperature measurement with thermocouple was analyzed and the neural networks model for signal conditioning was created. The simulation experiments show that the algorithm can improve network generation ability and high accurate compensation and nonlinear adjustment for cold-side-offset was realized effectively. © 2011 IEEE.

关键词： Signal processing

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Human perception based image retrieval using Emergence Index and Fuzzy Similarity Measure

Human perception based image retrieval using Emergence Index...

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3rd Intelligent sensors, sensor networks and information processing Conference

作者： Deb, Sagarmay Kulkarni, Siddhivinayak So Cross Univ Sch Commerce & Management Mil Rd E Lismore NSW 2480 Australia Univ Ballarat Sch Informat Technol & Math Sci Ballarat Vic 3353 Australia

ISBN: (纸本)9781424415014

The main concern dealing with Content-based Image Retrieval (CBIR) is to bridge the semantic gap. The high level query posed by the user and low level features extracted by the machine illustrates the problem of semantic gap. To solve the problem of semantic gap, this paper presents a hybrid technique using an emergence index and fuzzy logic for efficient retrieval of images based on the colour feature. Emergence Index (EI) is proposed to understand the hidden meaning of the image. Fuzzy Similarity Measure is developed to calculate the similarity between the target image and the images in the database. The images were ranked based on their similarity along with the fuzzy similarity distance measure. The preliminary experiments conducted on small set of images and promising results were obtained.

关键词： Fuzzy logic

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Network Formation Games for Wireless Multi-hop networks in the Presence of Eavesdroppers

Network Formation Games for Wireless Multi-hop Networks in t...

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3rd IEEE international Workshop on Computational Advances in Multi-sensor Adaptive processing (CAMSAP)

作者： Saad, Walid Hjorungnes, Are Han, Zhu Basar, Tamer Univ Oslo UNIK Univ Grad Ctr N-0316 Oslo Norway Univ Houston Dept Elect & Comp Engn Houston TX 77004 USA Univ Illinois Coordinated Sci Lab Urbana IL 61801 USA

ISBN: (纸本)9781424451807

Physical layer security has recently attracted an increasing attention in wireless networks. While existing work on physical layer security focuses on the information theoretic aspects, this paper studies the impact of the presence of eavesdroppers on the topology and dynamics of wireless multi-hop networks. In this context, we investigate the problem of the distributed formation of a hierarchical tree topology among a number of nodes that seek to send data in the uplink to a central base station through multi-hop in the presence of multiple eavesdroppers. We model the problem as a network formation game where the nodes engage in pairwise negotiations to form the path that connects them to the central base station, while maximizing their utility in terms of the minimum secrecy capacity achieved. For forming the topology, we propose a myopic best response algorithm that enables the wireless nodes to self-organize into a Nash tree structure. Simulation results show that the proposed algorithm presents significant gains in terms of average achieved expected utility per node compared to a best-neighbor algorithm.

关键词： Base stations

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An energy saving scheme for long range and high data rate wireless sensor networks

An energy saving scheme for long range and high data rate wi...

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7th IEEE international symposium on Signal processing and information Technology

作者： Lin, Li-Hsieh Tsou, Wen-An Fan, Long-Sheng Wuen, Wen-Shen Wen, Kuei-Ann Natl Chiao Tung Univ Dept Elect Engn 1001 Ta Hsueh Rd Hsinchu Taiwan Natl Tsing Hua Univ Inst NanoEngn & MicroSyst Hsinchu Taiwan Natl Chiao Tung Univ Microelect & Informat Syst Res Ctr Hsinchu Taiwan

ISBN: (纸本)9781424418343

For increasing demands on transceiving coverage, reliability and high resolution of sensing data in modem wireless sensor network applications, a novel digital transceiver scheme for wireless sensor node with integration of WiMAX PHY QoS, and low-density parity check (LDPC) code had been proposed. It will be 67% energy saving to support high gain sensing amplifier thus to provide high resolution digitization of sensing data. With WiMAX based regulation, 30 mile transmission range and 74Mbps data rate for long range and high data rate wireless sensor networks can be achieved.

关键词： wireless sensor networks WiMAX LDPC

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A Real-time Evaluation Method on Internet Data Centre's Equipment Corrosion by Wireless sensor networks

A Real-time Evaluation Method on Internet Data Centre's Equi...

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

作者： Liu, Xiangzhi Hu, Yifan Wang, Fuqiang Pang, Yong Liu, Hong Shandong Comp Sci Ctr Nat Supercomp Ctr Jinan Shandong Prov Key Lab Comp Networks 19 Keyuan Rd Jinan 250014 Shandong Peoples R China

ISBN: (纸本)9781509030712

With the implementation of European Union's restriction of hazardous substances directive, there is a sharp decline on electronic equipment corrosion resistance. The reason is that gaseous contaminations cause creep corrosion on printed circuit boards. Based on wireless sensor networks, three-dimensional space model, environmental information and computational fluid dynamics theory, an evaluation method is proposed to calculate the wind speed, temperature, relative humidity and corrosive gas concentration around each equipment in internet data centre. To evaluate the performance of this method, a wireless sensors system is set up. Test results show that the real-time evaluation method can effectively guarantee equipment in safe environment.

关键词： Wireless sensor networks Internet Data Centre Creep Corrosion CFD RoHS

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Dynamic data compression algorithm for wireless sensor networks based on grid deduplication 3

Dynamic data compression algorithm for wireless sensor netwo...

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3rd IEEE international Conference on Communications, information System and Computer Engineering, CISCE 2021

作者： Zheng, Donghua School of Information Technology and Engineering Guangzhou College of Commerce Guangzhou China

ISBN: (纸本)9780738112152

In order to improve the status monitoring and management ability of wireless sensor networks, a dynamic data compression method based on grid deduplication is proposed. Grid-based sensor node spatial positioning and big data fusion method are adopted to realize dynamic feature mining of wireless sensor network data, extract feature sequence points of wireless sensor network data, reconstruct wireless sensor network data feature space by adopting spatial grid node recombination, build a statistical detection model of dynamic feature mining of wireless sensor network data by combining grid area grouping compression method, and realize embedded fuzzy control and joint feature distributed adaptive learning. The association matching degree of wireless sensor network data is analyzed. Combining fuzzy subspace compression and big data fusion clustering, the quantitative regression analysis model of wireless sensor network data is established. The time series reorganization of wireless sensor network database is realized by index table name, index column and other information. Compressed sensing method is used in linear fusion subspace to realize data compression and adaptive detection of wireless sensor network. Constraint feature points of wireless sensor network data compression are constructed, and dynamic compression and clustering processing of wireless sensor network data are realized at constraint points. Simulation results show that the feature clustering of data compression in wireless sensor networks is better and the storage space of data is reduced. © 2021 IEEE.

关键词： Digital storage

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Cryptanalysis and Improvement of ECC - Based Security Enhanced User Authentication Protocol for Wireless sensor networks 3rd

Cryptanalysis and Improvement of ECC - Based Security Enhanc...

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3rd international symposium on Security in Computing and Communications (SSCC)

作者： Maurya, Anup Kumar Sastry, V. N. Udgata, Siba Kumar Inst Dev & Res Banking Technol Hyderabad Andhra Pradesh India Univ Hyderabad Hyderabad 500134 Andhra Pradesh India

ISBN: (纸本)9783319229157;9783319229140

User authentication and secret session key exchange between a user and a sensor node are important security requirements of wireless sensor networks for retrieving the important, confidential and real time information from the sensor nodes. In 2014, Choi et al. proposed a elliptic curve cryptography based user authentication protocol with enhanced security for wireless sensor networks and after security analysis of their protocol we find that their protocol has some security drawbacks such as (1) no resilient against node capture attack, (2) insecure against stolen smart card attack (3) vulnerable to sensor node energy exhausting attacks. Based on the security analysis we propose a scheme to withstand the various security weaknesses of WSNs. Furthermore, the comparative security and computational performance analysis indicate that our proposed scheme is relatively more secure and efficient.

关键词： User authentication Session key establishment Smart card Elliptic curve cryptography(ECC) Wireless sensor networks (WSNs)

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Dynamic sensor scan optimisation using reinforcement learning

Dynamic sensor scan optimisation using reinforcement learnin...

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3rd Intelligent sensors, sensor networks and information processing Conference

作者： Lilith, Nimrod Dogancay, Kutluyil Ibal, Gokhan Univ S Australia Sch Elect & Informat Engn Mawson Lakes SA 5095 Australia Def Sci & Technol Org Air Operat Div Port Melbourne Vic 3207 Australia

ISBN: (纸本)9781424415014

This paper presents the application of reinforcement learning-an unsupervised learning technique-to sensor scan optimisation for the purpose of multi-target tracking from helicopter platforms. The sensor considered in this paper is the forward looking IR (FLIR) sensor The potential for reinforcement learning based optimisation techniques to provide improved performance over deterministic scan pattern search methods is illustrated by way of simulation examples. Ground targets to be tracked by FLIR are modelled as Markovian processes. The optimisation problem is cast into a "sensor scheduling" framework to facilitate the use of reinforcement learning. Prioritisation of targets in multiple-target detection problems and targets of different threat levels are also considered and illustrated with simulation examples.

关键词： Reinforcement learning

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Proceedings of the 3rd international symposium on Uncertainty Modeling and Analysis and Annual Conference of the North American Fuzzy information processing Society, (ISUMA - NAFIPS'95)

Proceedings of the 3rd International Symposium on Uncertaint...

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Proceedings of the 3rd international symposium on Uncertainty Modeling and Analysis and Annual Conference of the North American Fuzzy information processing Society, (ISUMA - NAFIPS'95)

The proceedings contains 142 papers. Topics discussed include risk and reliability, uncertainty analysis, control, fuzzy data analysis, civil engineering applications in Japan, structural engineering applications, patterns and fuzzy reasoning, uncertainty in engineering designs, fuzzy decision analysis, neural networks, genetic methods, approximate reasoning, fuzzy information processing, optimization, uncertainty in logic, transportation and scheduling, fuzzy sets and systems in signal processing, numerical methods, uncertainty in databases, uncertainty in information, knowledge bases, and complexity.

关键词： Fuzzy sets

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