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Automatic routing mechanism for data aggregation in wireless sensor networks

Automatic routing mechanism for data aggregation in wireless...

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IEEE International conference on Systems, Man and Cybernetics

作者： Hung-Chi Chu Yong-Hsun Lai Yi-Ting Hsu Graduate Institute of Networking and Communication Engineering Chaoyang University of Technology Taichung Taiwan

To act an appropriate response for intelligent system, it is necessary to obtain sufficient information as possible. Wireless sensor networks technology is one of possible solutions that can provide intelligent system with sensing information of specific task. However, a large number of data transmissions for a long period of time might cause sensor node to lose its functionality. This is because sensor nodes have the restriction of energy, computing capability, and communication bandwidth. Therefore, data aggregation mechanism is one of possible solutions to prolong the life time of sensor nodes. In this paper, we present an automatic routing scheme for data aggregation using geographic information. Clustering the entire interesting field and chaining interesting nodes with " virtual link " of which " virtual path " is composed are proposed. The simulation results show that the proposed method can effective save transmission energy and bandwidth utilization.

关键词： Routing Wireless sensor networks intelligent sensors intelligent systems Bandwidth Wireless communication intelligent networks Temperature sensors Data communication Aggregates

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Poster abstract: Virtualizing external wireless sensors for designing personalized smartphone services

Poster abstract: Virtualizing external wireless sensors for ...

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International Symposium on information processing in sensor networks (IPSN)

作者： JeongGil Ko Byung-Bog Lee Sang Gi Hong Naesoo Kim Electronics and Telecommunications Research Institute Daejeon Republic of Korea

By interacting with external sensors, smartphones can gather high-fidelity data on the surrounding environment to develop various environment-aware, personalized applications. In this work we introduce the sensor virtualization module (SVM) which virtualizes external sensors so that smartphone applications can easily utilize a large number of sensing resources. Implemented on the Android platform, our SVM simplifies the management of external sensors by abstracting them as virtual sensors to provide the capability of resolving conflicting data requests from multiple applications and also mashing-up sensing data from different sensors to create new customized sensors. We envision our SVM to open the possibilities of designing novel personalized smartphone applications.

关键词： sensors Support vector machines Virtualization Wireless sensor networks Wireless communication Telecommunications Standards

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A simulator for generating and visualizing sensor data for ambient intelligence environments

A simulator for generating and visualizing sensor data for a...

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2nd International conference on Ambient Systems, networks and Technologies, ANT-2011 and 8th International conference on Mobile Web information Systems, MobiWIS 2011

作者： Buchmayr, Mario Kurschl, Werner Küng, Josef Research Center Hagenberg 4232 Hagenberg Austria Upper Austria University of Applied Sciences 4232 Hagenberg Austria Institute for Application Oriented Knowledge Processing 4020 Linz Austria

The development of ambient intelligence environments has become a complex task and faces several challenges due to improved sensing possibilities and new fields of application, like detecting activities of daily living or classifying situations. Without having representative test data for experimentation during the development phase, the choice of suitable sensors and classification mechanisms becomes a critical issue. From an economical point of view, hardware and test labs are expensive and require lead time before test data are generated. To compensate the temporal gap, data needs to be simulated until real data are available for testing. In this paper we present an adaptive and extensible simulator which can be used during the design phase to generate data from various sensors within a simulated ambient intelligence environment. Our approach allows generating and visualizing different sensor data as well as simulating faulty or unexpected sensor behaviour. © 2011 Published by Elsevier Ltd.

关键词： Simulators

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Kingfisher: a system for remote sensing image database management

Kingfisher: a system for remote sensing image database manag...

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conference on sensors, Systems and Next-Generation Satellites VI

作者： Bruzzo, M Giordano, F Dellepiane, S Univ Genoa Dept Biophys & Elect Engn I-16126 Genoa Italy

ISBN: (纸本)0819446637

At present retrieval methods in remote sensing image database are mainly based on spatial-temporal information. The increasing amount of images to be collected by the ground station of earth observing systems emphasizes the need for database management with intelligent data retrieval capabilities. The purpose of the proposed method is to realize a new content based retrieval system for remote sensing images database with an innovative search tool based on image similarity. This methodology is quite innovative for this application, at present many systems exist for photographic images, as for example QBIC and IKONA, but they are not able to extract and describe properly remote image content. The target database is set by an archive of images originated from an X-SAR sensor (spaceborne mission, 1994). The best content descriptors, mainly texture parameters, guarantees high retrieval performances and can be extracted without losses independently of image resolution. The latter property allows DBMS (Database Management System) to process low amount of information, as in the case of quick-look images, improving time performance and memory access without reducing retrieval accuracy. The matching technique has been designed to enable image management (database population and retrieval) independently of dimensions (width and height). Local and global content descriptors are compared, during retrieval phase, with the query image and results seem to be very encouraging.

关键词： content based retrieval indexing image database management remote sensing images texture analysis image processing

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Impact of coverage preservation techniques on prolonging the network lifetime in traffic surveillance applications

Impact of coverage preservation techniques on prolonging the...

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IEEE International conference on intelligent Computer Communication and processing (ICCP)

作者： Codruta Istin A. Doboli Dan Pescaru Horia Ciocarlie Department of Computers Politehnica University Timisoara Romania Department of ECE State University of New York Stony Brook USA

ISBN: (纸本)9781424426737

Wireless sensor networks have gained importance in various domains due to their rapid development in the past years. However, their greatest limitation remains energy. The lifetime of the sensor network depends on the amount of energy consumption that reflects the amount of data processing done locally in the sensor network. Limited energy resource to the sensor becomes an obstacle for its applications. Research efforts have been focused on energy saving techniques. This paper proposes a technique that determines the redundancy of the nodes and manages to maintain the degree of coverage with the minimum of sensors that are active. The algorithm gains its effectiveness by choosing in each moment the optimal sensor that offers the best coverage. Experimental results are presented to show the efficiency of the method in prolonging the network lifetime with minimum losing of coverage.

关键词： Wireless sensor networks Roads Redundancy Energy consumption sensors Vehicles Cameras

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information Systems: Modeling, Development, and Integration: Third International United information Systems conference, UNISCON 2009 Proceedings

Information Systems: Modeling, Development, and Integration:...

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3rd International United information Systems conference, UNISCON 2009

ISBN: (纸本)9783642011115

The proceedings contain 53 papers. The topics discussed include: robust web service provisioning through on-demand replication;modelling and maintenance of very large database schemata using meta-structures;SOM-Based dynamic image segmentation for sign language training simulator;agile software solution framework: an analysis of practitioners's perspectives;facilitating interorganisational collaboration via flexible sharing of rapidly developed web applications;sales forecasting using an evolutionary algorithm based radial basis neural network;micro implementation of join operation at clustering nodes of heterogeneous sensor networks;facilitating reuse of code checking rules in static code analysis;achieving adaptively through strategies in a distributed software architecture;improving product usage monitoring and analysis with semantic concepts;and using GA and KMP algorithm to implement an approach to learning through intelligent framework documentation.

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Road surface networks technology enablers for enhanced ITS

Road surface networks technology enablers for enhanced ITS

引用

2010 IEEE Vehicular Networking conference, VNC 2010

作者： Birk, Wolfgang Eliasson, Jens Lindgren, Per Osipov, Evgeny Riliskis, Laurynas Department of Computer Science and Electrical Engineering Luleå University of Technology SE-97187 Luleå Sweden

ISBN: (纸本)9781424495252

The increased need for mobility has led to transportation problems like congestion, accidents and pollution. In order to provide safe and efficient transport systems great efforts are currently being put into developing intelligent Transport Systems (ITS) and cooperative systems. In this paper we extend proposed solutions with autonomous on-road sensors and actuators forming a wireless Road Surface Network (RSN). We present the RSN architecture and design methodology and demonstrate its applicability to queue-end detection. For the use case we discuss the requirements and technological solutions to sensor technology, data processing and communication. In particular the MAC protocol is detailed and its performance assessed through theoretical verification. The RSN architecture is shown to offer a scalable solution, where increased node density offers more precise sensing as well as increased redundancy for safety critical applications. The use-case demonstrates that RSN solutions may be deployed as standalone systems potentially integrated into current and future ITS. RSN may provide both easily deployable and cost effective alternatives to traditional ITS (with a direct impact independent of penetration rate of other ITS infrastructures - i.e., smart vehicles, safe spots etc.) as well as provide fine grain sensory information directly from the road surface to back-end and cooperative systems, thus enabling a wide range of ITS applications beyond current state of the art. © 2010 IEEE.

关键词： Network architecture

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Fusion in sensor networks with communication constraints

Fusion in sensor networks with communication constraints

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International Symposium on information processing in sensor networks (IPSN)

作者： S.A. Aldosari J.M.F. Moura Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh PA USA

We address the problem of optimizing the detection performance of sensor networks under communication constraints on the common access channel. Our work helps understanding tradeoffs between sensor network parameters like number of sensors, degree of quantization at each local sensor, and SNR. Traditionally, this problem is tackled using asymptotic assumptions on the number of sensors, an approach that leads to the abstraction of important details such as the structure of the fusion center. We adopt a non-asymptotic approach and optimize both, the sensing and the fusion sides with respect to the probability of detection error. We show that the optimal fusion rule has an interesting structure similar to the majority-voting rule. In addition, we study the convergence with respect to the number of sensors of the performance of the fusion rule. We show that convergence is SNR dependent and that, in low-SNR environments, asymptotics may require a large number of sensors.

关键词： intelligent networks sensor fusion Quantization Convergence Computer networks Communication networks Algorithm design and analysis Permission Face detection Constraint optimization

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Virtual cluster tree based distributed data classification strategy using locally linear embedding in wireless sensor network

Virtual cluster tree based distributed data classification s...

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8th International conference on intelligent Computing Technology, ICIC 2012

作者： Song, Xin Wang, Cuirong Wang, Cong Hu, Xi School of Information Science and Engineering Northeastern University 110819 Shenyang China Key Laboratory of Complex System and Intelligence Science Institute of Automation Chinese Academy of Sciences 100190 Beijing China

ISBN: (纸本)9783642315879

With recent advances in wireless communication and low cost, low power sensors are enabling the deployment of large-scale and collaborative wireless sensor network (WSN), which performs different tasks using the subsets formation of sensor on specific requirement of event monitoring. For implementing the differentiated monitoring task of the heterogeneous sensor network in the same geographical region, efficient classification of the various sensed data becomes a critical task due to stringent constraint on network resources, frequent link and indeterminate variations in sensor readings. In this paper, we present a virtual cluster tree based distributed data classification strategy using locally linear embedding (LLE). The strategy can realize the structure representation of original sensed data by LLE to meet the classification for forming the virtual cluster tree of the various monitoring task. The theoretical analysis and experimental results show that the proposed strategy can effectively reduce the energy consumption using LLE based classifier. © 2012 Springer-Verlag.

关键词： Wireless sensor networks

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Environmentally sensitive particle filter tracking in multistatic AUV networks with port-starboard ambiguity

Environmentally sensitive particle filter tracking in multis...

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2014 IEEE International conference on Acoustics, Speech, and Signal processing, ICASSP 2014

作者： Goldhahn, Ryan Braca, Paolo Lepage, Kevin D. Willett, Peter Marano, Stefano Matta, Vincenzo NATO STO CMRE La Spezia Italy University of Connecticut Storrs CT United States University of Salerno Fisciano Italy

ISBN: (纸本)9781479928927

This paper presents a Bayesian multi-sensor tracking strategy for a network of autonomous underwater vehicles (AUVs) for the purpose of anti-submarine warfare (ASW). A bistatic configuration and the corresponding acoustic model for the bistatic signal-to-noise ratio (SNR) is used. The Bayesian posterior distribution of the target state based on all available information from sensors and on the acoustic model is reconstructed via particle filtering methods, taking into account the port-starboard ambiguity typical of horizontal line arrays. The posterior distribution is the optimal estimation procedure, the only approximation derives from the particle representation. The effectiveness of the proposed algorithm is demonstrated on a real data set collected by the NATO Centre for Maritime Research and Experimentation (CMRE) during the NATO Proud Manta 2012 exercise (ExPOMA12). © 2014 IEEE.

关键词： Autonomous underwater vehicles

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