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检索条件"任意字段=6th IEEE International Conference on Distributed Computing in Sensor Systems"

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A Cross-Layer Design for Decentralized Detection in Tree sensor Networks

A Cross-Layer Design for Decentralized Detection in Tree Sen...

引用

international conference on distributed computing in sensor systems (DCOSS)

作者： Ashraf Tantawy Xenofon Koutsoukos Gautam Biswas Institute for Software Integrated Systems (ISIS) Department of Electrical Engineering and Computer Science Vanderbilt University Nashville TN USA

the design of wireless sensor networks for detection applications is a challenging task. On one hand, classical work on decentralized detection does not consider practical wireless sensor networks. On the other hand, practical sensor network design approaches that treat the signal processing and communication aspects of the sensor network separately result in sub optimal detection performance because network resources are not allocated efficiently. In this work, we attempt to cross the gap between theoretical decentralized detection work and practical sensor network implementations. We consider a cross-layer approach, where the quality of information, channel state information, and residual energy information are included in the design process of tree-topology sensor networks. the design objective is to specify which sensors should contribute to a given detection task, and to calculate the relevant communication parameters. We compare two design schemes: (1) direct transmission, where raw data are transmitted to the fusion center without compression, and (2) in-network processing, where data is quantized before transmission. For both schemes, we design the optimal transmission control policy that coordinates the communication between sensor nodes and the fusion center. We show the performance improvement for the proposed design schemes over the classical decoupled and maximum throughput design approaches.

关键词： Wireless sensor networks Wireless communication Quantization Media Access Protocol Random variables Optimization

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Reconciling the theory and practice of (un)reliable wireless broadcast

Reconciling the theory and practice of (un)reliable wireless...

引用

international conference on distributed computing systems Workshop

作者： G. Chockler M. Demirbas S. Gilbert N. Lynch C. Newport T. Nolte MIT Computer Science and Artificial Intelligence Laboratory USA

theorists and practitioners have fairly different perspectives on how wireless broadcast works. theorists think about synchrony; practitioners think about backoff. theorists assume reliable communication; practitioners worry about collisions. the examples are endless. Our goal is to begin to reconcile the theory and practice of wireless broadcast, in the presence of failures. We propose new models for wireless broadcast and use them to examine what makes a broadcast model good. In the process, we pose some interesting questions that help to bridge the gap.

关键词： Broadcasting Algorithm design and analysis Reliability theory Wireless sensor networks Wireless communication Usability Computer science Artificial intelligence Bridges sensor phenomena and characterization

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A distributed sensor Data Stream Delivery System with Communication Loads Balancing for Heterogeneous Collection Cycle Requests

A Distributed Sensor Data Stream Delivery System with Commun...

引用

international conference on Parallel and distributed systems (ICPADS)

作者： Yoshimasa Ishi Tomoki Yoshihisa Tomoya Kawakami Yuuichi Teranishi Cybermedia Center Osaka University Osaka Japan National Institute of Information and Communication Technology Tokyo Japan

Due to the prevalence of sensors such as live cameras or environmental sensors, sensor data stream delivery, which requires continuous and cyclic data delivery attracts great attention. For sensor data stream delivery, various communication loads balancing techniques have been studied since the load of the sensor data source become high to accommodate large number of clients. However, these studies assume only the requests that have the same collection cycle, which is not enough for the actual applications. In this paper, we propose a sensor data stream delivery system with communication loads balancing for heterogeneous collection cycle requests. the proposed system distributes the loads by re-delivering the sensor data that are requested by other clients with different collection cycles but have common cycles.

关键词： Streaming media Cameras Load management Prototypes Smart phones Peer to peer computing conferences

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Integrated Queries over a Heterogeneously distributed Scientific Database using OGSA-DQP

Integrated Queries over a Heterogeneously Distributed Scient...

引用

2011 6th ieee Joint international Information Technology and Artificial Intelligence conference(ITAIC 2011)

作者： Helen X. Xiang Computer Science University of HertfordshireUK

In this paper we experiment with using the UNION ALL operator to make data integration queries over a version of the SDSS scientific Database,distributed using *** paper starts with background information on the SDSS database and the eScience technologies OGSA-DAI and *** recaps how we distributes a SDSS database across three *** then examines the running of several OGSA-DQP queries against the *** discuss our experiences of using UNION ALL for integrating data results from data service resources based on heterogeneous underlying database management systems.

关键词： distributed Query Heterogeneous Database Dis- tributed Database OGSA-DQP

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ACM international conference Proceeding Series

ACM International Conference Proceeding Series

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6th international conference on Network, Communication and computing, ICNCC 2017

ISBN: (纸本)9781450353663

the proceedings contain 48 papers. the topics discussed include: a dynamic convergent replication strategy based on distributed hierarchical systems;association rule mining using apriori for large and growing datasets under Hadoop;forecast method of short - term passenger flow on urban rail transit;research on facial expression recognition based on Kinect;applying binary patch comparison to Cisco IOS;the synthesis of multi-graphic visual encryption technology;CNN-based commercial detection in TV broadcasting;a fuzzy pattern based ICCP matching algorithm in gravity-aided navigation;CNN-Webshell: malicious web shell detection with convolutional neural network;anomaly-based web attack detection: a deep learning approach;network behavioral features for detecting remote access Trojans in the early stage;an intrusion detection model based on deep belief network;research on WebSocket-based authentication system;a case study of detecting and characterizing large-scale prefix hijackings in the internet;self-adaptive consolidation of virtual machines for energy-efficiency in the cloud;grouper: a framework for developing mobile applications using a secret sharing scheme and untrusted servers;an analysis of frame replication and elimination for time-sensitive networking;modeling and simulation of time-division multiplexing navigation satellite network based on OPNET;a network interconnection system and framework based on semantic communication;and robust topology design in time-evolving and predictable spacecraft network with node efficiency.

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6th international conference on Big Data Analytics, BDA 2018

6th International Conference on Big Data Analytics, BDA 2018

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6th international conference on Big Data Analytics, BDA 2018

ISBN: (纸本)9783030047795

the proceedings contain 29 papers. the special focus in this conference is on Big Data Analytics. the topics include: Automated credibility assessment of web page based on genre;cbI: Improving credibility of user-generated content on facebook;a parallel approach to detect communities in evolving networks;modeling sparse and evolving data;polystore data management systems for managing scientific data-sets in big data archives;MPP SQL query optimization with RTCG;big data analytics framework for spatial data;an ingestion based analytics framework for complex event processing engine in internet of things;An energy-efficient greedy mapreduce scheduler for heterogeneous hadoop YARN cluster;blockchain-powered big data analytics platform;Analysis of narcolepsy based on single-channel EEG signals;formal Methods, artificial intelligence, big-data analytics, and knowledge engineering in medical care to reduce disease burden and health disparities;*** based soil N-P-K prediction model for soil and crop specific data: A predictive modelling approach;deep neural network based image captioning;oversample based large scale support vector machine for online class imbalance problem;using crowd sourced data for music mood classification;applying big data intelligence for real time machine fault prediction;PRISMO: Priority based spam detection using multi optimization;malware detection using machine learning and deep learning;spatial co-location pattern mining;humble data management to big data analytics/science: A retrospective stroll;Fusion of game theory and big data for AI applications;distributed financial calculation framework on cloud computing environment;testing concept drift detection technique on data stream;homogenous ensemble of time-series models for indian stock market.

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PTZ Camera Scheduling for Selected Area Coverage in Visual sensor Networks

PTZ Camera Scheduling for Selected Area Coverage in Visual S...

引用

international conference on distributed computing systems

作者： Ling Guo Yuqing Zhu Deying Li Donghyun Kim School of Information Renmin University of China. Department of Computer Science California State University Los Angeles Department of Mathematics and Physics North Carolina Central University.

Visual sensor networks (VSNs) can track multiple pedestrians and capture high-quality videos of the monitored area. therefore, VSNs is ideal for providing good broadcast service. In sports broadcasting, a basic requirement for broadcasters is to report the significant events as quickly as possible when they take place. To meet this requirement, we propose the Camera Scheduling for selected area coverage problem (CamS). Considering that Pan-Tilt-Zoom (PTZ) camera sensor has the flexibility of configuring its angle of view in both horizontal and vertical dimensions, we apply PTZ camera sensors to solve CamS. A polynomial time optimal algorithm that schedules PTZ camera sensors elegantly is devised for CamS. We set many realistic application scenarios in simulation and thoroughly study how our algorithm's performance is affected by different environmental parameters, including angle velocity, the number of camera sensors and the number of sub-areas.

关键词： Cameras Cams Monitoring Visualization Schedules sensors Bipartite graph

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A fission technique enabling parallelization of imperfectly nested loops

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6th international conference on High Performance computing, HiPC 1999

作者： Ju, Jialin Chaudhary, Vipin Pacific Northwest National Laboratory Richland WA 99352 United States Parallel and Distributed Computing Laboratory Wayne State University Detroit MI 48202 United States

ISBN: (纸本)3540441271

this paper addresses the issue of parallelizing imperfectly nested loops. Current parallelizing compilers or transformations would either only parallelize the inner-most loop (which is more like vectorization than parallelization), or not parallelize the loops at *** present an approach that transforms an imperfectly nested loop into at most three fully parallel perfectly nested loops. the transformed loops can be parallelized by any parallelizing compiler. the advantage of our technique is the simplicity of the transformed loops and low synchronization overhead. the feasibility of this approach was tested using several types of loops including those from the Eispack math library and from Linpack benchmark on different multi-processor platforms and performance was compared with Sun's MP C and Cray's autotasking. the results show that our method is very effective. © 1999 Springer-Verlag Berlin Heidelberg.

关键词： Benchmarking

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Energy-Optimal Grid-Based Clustering in Wireless Microsensor Networks

Energy-Optimal Grid-Based Clustering in Wireless Microsensor...

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international conference on distributed computing systems Workshop

作者： Yanyan Zhuang Jianping Pan Guoxing Wu Department of Computer Science University of Victoria Victoria BC Canada School of Computer Science South-East University Nanjing Jiangsu China

Wireless microsensor networks usually consist of a large number of small sensor nodes with limited onboard energy supply and deployed densely in a given area for information harvesting purposes. To reduce energy consumption and prolong network lifetime, clustering techniques are often used, among which the grid-based ones are very popular due to their simplicity and scalability. In this paper, we analyze and evaluate the energy-optimal grid size for a grid-based clustering and routing scheme proposed specifically for wireless microsensor networks. through numerical and simulation results, we reveal the tradeoff generic to all grid-based clustering schemes. In addition, we propose a randomized technique to further prolong the network lifetime and discuss other energy-saving opportunities. this paper provides some insights into the intrinsic limits of grid-based clustering schemes for wireless micro sensor networks.

关键词： Microsensors Wireless sensor networks Energy consumption Routing Computer science Scalability Numerical simulation Energy conservation Propagation losses Energy efficiency

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Power Management in Cluster-Based Energy-Harvesting sensor Networks through Dynamic Modulation Scaling

Power Management in Cluster-Based Energy-Harvesting Sensor N...

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ieee international conference on High Performance computing and Communications (HPCC)

作者： Maryam Bandari Robert Simon Hakan Aydin Department of Computer Science George Mason University Fairfax VA

this paper considers real-time cluster-based wireless sensor networks where the nodes harvest energy from the environment. We target performance sensitive applications that have to collectively send their information to cluster head by a predefined deadline, such as in distributed real-time monitoring and detection. the nodes are equipped with Dynamic Modulation Scaling (DMS) capable wireless radios. the problem is to determine the time slots and modulation levels that will be used by each node while communicating with the cluster-head in order to achieve energy-neutral (perpetual) operation and maximize energy reserves. We propose a solution that adjusts underlying TDMA slots that enables high energy nodes to compensate by transmitting faster producing larger slack for dark nodes, while meeting the performance constraint. We present an optimal mixed integer linear programming based solution. We also develop fast heuristics that are shown to provide approximate solutions through comprehensive experiments with actual solar energy harvesting profiles.

关键词： Modulation Wireless sensor networks Energy harvesting Logic gates Wireless communication Batteries Real-time systems

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