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检索条件"任意字段=3rd IEEE International Conference on Distributed Computing in Sensor Systems"

共 5112 条记录，以下是131-140 订阅

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Data Loss and Reconstruction for Wireless Environmental sensor Networks 3

Data Loss and Reconstruction for Wireless Environmental Sens...

引用

ieee 3rd international conference on Big Data Security on Cloud (BigDataSecurity) / 3rd ieee international conference on High Performance and Smart computing (HPSC) / 2nd ieee international conference on Intelligent Data and Security (IDS)

作者： Bao, Ting Huang, Zhangqin Li, Da Beijing Univ Technol Beijing Adv Innovat Ctr Future Internet Technol Beijing Peoples R China Beijing Univ Technol Beijing Engn Res Ctr IoT Software & Syst Beijing Peoples R China

ISBN: (纸本)9781509062966

Environmental sensor Networks (ESNs) in forests facilitate the study of fundamental processes, and the development of wireless communication makes ESNs into 'intelligent' sensor network, named as Wireless Environmental sensor Networks (WESNs). However, data loss is prevalent in wireless transmission, which may result in incompletion of sensory datasets. Thus, if we want to achieve a satisfactory accuracy in a WESNs system, the task of recovering data from achieved sensory datasets is unavoidable. Previous works provide many approaches to solve the data missing problem. Compared with other methods, Compressing Sensing (CS) is powerful technique for estimating data, which can utilize a small fraction of data to reconstruct the entire dataset. In real forests, because of the complicated geographic conditions and deployment of sensors, sensory data will largely loss during the wireless transmission. Despite CS technique is a better choice, it cannot be directly applied for the data missing problem. In this paper, we will present a reliable WESNs system and a better approach based on CS to reconstruct sensory datasets.

关键词： Wireless Environmental sensor Networks forests data loss Compressing Sensing

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Towards Context-Aware and Dynamic Management of Stream Processing Pipelines for Fog computing 3

Towards Context-Aware and Dynamic Management of Stream Proce...

引用

3rd ieee international conference on Fog and Edge computing (ICFEC)

作者： Wiener, Patrick Zehnder, Philipp Riemer, Dominik FZI Res Ctr Informat Technol Karlsruhe Germany

ISBN: (纸本)9781728123653

Newly arising IoT-driven use cases often require low-latency analytics to derive time-sensitive actions, where a centralized cloud approach is not applicable. An emerging computing paradigm, referred to as fog computing, shifts the focus away from the central cloud by offloading specific computational parts of analytical stream processing pipelines (SPP) towards the edge of the network, thus leveraging existing resources close to where data is generated. However, in scenarios of mobile edge nodes, the inherent context changes need to be incorporated in the underlying fog cluster management, thus accounting for the dynamics by relocating certain processing elements of these SPP. This paper presents our initial work on a conceptual architecture for context-aware and dynamic management of SPP in the fog. We provide preliminary results, showing the general feasibility of relocating processing elements according to changes in the geolocation.

关键词： fog computing distributed systems context-aware computing stream processing

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Firefly Algorithm Approach for Localization in Wireless sensor Networks 3rd

引用

3rd international conference on Advanced computing, Networking, and Informatics (ICACNI)

作者： Harikrishnan, R. Kumar, V. Jawahar Senthil Ponmalar, P. Sridevi Sathyabama Univ Madras Tamil Nadu India Anna Univ CEG Madras 600025 Tamil Nadu India

ISBN: (纸本)9788132225294;9788132225287

Development of sensor technology has led to low power, low cost and small sized distributed wireless sensor networks (WSN). The self organizable and distributed characteristics of wireless sensor networks had made it for monitoring and control applications at home and other environment. In most of these applications location information plays a crucial role in increasing the performance and reliability of the network. This paper makes an attempt in analyzing and implementation of a novel nature based algorithm known as firefly localization algorithm. This is a distributed algorithm which uses range based trilateration method for distance measurement required for estimating the location of the sensor node. The algorithm is simple to implement and has better convergence and accuracy.

关键词： Firefly localization algorithm WSN Biological inspired algorithm Landmark node sensor node Firefly Attractiveness Brightness

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Federated Kalman Consensus Filter in distributed Track Fusion

Federated Kalman Consensus Filter in Distributed Track Fusio...

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3rd ieee Annual international conference on Cyber Technology in Automation, Control and Intelligent System (CYBER)

作者： Li, Jiahong Chen, Jie Chen, Chen Deng, Fang Beijing Inst Technol Sch Automat Beijing 100081 Peoples R China

ISBN: (纸本)9781479906109;9781479906123

Multi-sensor tracking fusion plays a fundamental role in networked information system, especially in the field of fire control systems. According to the diversity, networked and flexible recombined characteristics of the modern information system, a bottom-up architecture of networked information system and the method of track fusion are investigated. distributed track fusion problem under limited communication is discussed, and federated Kalman consensus filtering(FKCF) algorithm is proposed. Compared to conventional federated filter, FKCF algorithm considers the mobile sensor model, applies Kalman consensus filter to design the sub-filter and designs information-driven method to improve information allocation. The algorithm not only achieves auto recombination and improves survivability, but increases fused tracking accuracy of mobile sensor network with limited communication capability. The experimental results show that FKCF algorithm is better than conventional federated filtering algorithm in track fusion with limited communication.

关键词： Kalman filters sensor fusion target tracking

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A distributed VIDEO SHARE SYSTEM BASED ON HADOOP 3

A DISTRIBUTED VIDEO SHARE SYSTEM BASED ON HADOOP

引用

3rd ieee international conference on Cloud computing and Intelligence systems (CCIS)

作者： Liu, Chen Fan, Kun Yang, Zengqiu Xiu, Jiapeng Beijing Univ Posts & Telecommun Beijing 100876 Peoples R China Beijing Univ Posts & Telecommun Dept Softerware Engn Beijing Peoples R China

ISBN: (纸本)9781479947195

The paper present a framework for video playing and video storage based on Hadoop. Our framework consist of 3 layers. CDN for receiving clinets' requests;CCN for connecting clients and sending data;Hadoop cluster for data storage. This kind of structure helps to provide high availablility services, which could support high concurrent access and play smooth streaming media in mobile terminals.

关键词： Hadoop streaming media media codec h264

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WOrd distributed REPRESENTATION BASED TEXT CLUSTERING 3

WORD DISTRIBUTED REPRESENTATION BASED TEXT CLUSTERING

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3rd ieee international conference on Cloud computing and Intelligence systems (CCIS)

作者： Feng, Shan Liu, Ruifang Wang, Qinlong Shi, Ruisheng BUPT Sch Informat & Commun Engn Beijing 100876 Peoples R China BUPT Key Lab Trustworthy Distributed Comp & Serv Educ Minist Beijing 100876 Peoples R China BUPT Sch Humanities Beijing 100876 Peoples R China

ISBN: (纸本)9781479947195

The fast growth of Internet web documents has posed new challenges on how to efficiently and accurately manage and retrieve the textual collections, text clustering plays a significant role. Traditional document clustering is an unsupervised categorization of a given document collection based on vector space model, which is a high sparse vector. In this paper, we propose a means to fight the existing shortcomings with a word vector in distributed representation which is obtained from a neural probabilistic language model. To improve the representation of document vector and enhance the accuracy of text clustering, we first computing semantic similarities between words using word embedded vector, and then expanding the keywords of each document. The experiment results show the method can improve the accuracy of clustering.

关键词： Word distributed representation Keyword extension NMF

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Using Locality-enhanced distributed Memory Cache to Accelerate Applications On High Performance Computers 3

Using Locality-enhanced Distributed Memory Cache to Accelera...

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作者： Yu, Jie Liu, Guangming Dong, Wenrui Li, Xiaoyong Natl Univ Def Technol Changsha Peoples R China Natl Supercomp Ctr Tianjin Tianjin Peoples R China

ISBN: (纸本)9781509062966

Nowadays high performance computers (HPC) are used to solve increasingly complex problems and process larger amounts of data. The growing computational requirements of applications can be met by utilizing more compute nodes. However, the average I/O performance a compute node can utilize is reduced with increased number of nodes. The performance gap between computation and I/O has long been a primary issue impacting application performance. distributed memory cache has been proposed to narrow the performance gap by caching data in the memory of multiple compute nodes. However, former approaches didn't fully optimize the performance of accessing locally cached data. We design and implement a locality-enhanced distributed memory cache (LeCache) to address such problem. LeCache separates the location of metadata and data, with which it enables data to be preferentially cached in local memory. The proposed metadata caching strategy further minimizes the overhead of querying metadata remotely. We conduct extensive evaluation with IOR and BTIO in Tianhe-1A. The results show that LeCache has significant performance advantage under various kinds of workloads.

关键词： Metadata Servers distributed databases Kernel Bandwidth Writing Computers

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DFDA: A distributed Fault Detection Algorithm in Two Tier Wireless sensor Networks 3

DFDA: A Distributed Fault Detection Algorithm in Two Tier Wi...

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3rd international conference on Frontiers in Intelligent computing - Theory and Applications (FICTA)

作者： Nitesh, Kumar Jana, Prasanta K. Indian Sch Mines Dept Comp Sci & Engn Dhanbad 826004 Bihar India

ISBN: (纸本)9783319120126;9783319120119

Detection of faulty relay nodes in two tier wireless sensor network (WSN) is an important issue. In this paper, we present a distributed fault detection algorithm for the upper tier of a cluster based WSN. Any faulty relay node is identified by its neighbors on the basis of the neighboring table associated with them. Time redundancy is used to tolerate transient faults and to minimize the false alarms. The algorithm has O(m) message complexity in the worst case for a WSN with m relay nodes. Simulation results are presented and analyzed with various performance metrics, including detection accuracy and false alarm rate.

关键词： Relay node Fault Detection False Alarm Rate Detection Accuracy

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A THREE-LAYER distributed MEASUREMENT SYSTEM FOR CLOUD SERVICE NETWORK 3

A THREE-LAYER DISTRIBUTED MEASUREMENT SYSTEM FOR CLOUD SERVI...

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3rd ieee international conference on Cloud computing and Intelligence systems (CCIS)

作者： Xu, Liren Huang, Xiaohong Li, Zichao Beijing Univ Posts & Telecommun Inst Network Technol Beijing 100876 Peoples R China

ISBN: (纸本)9781479947195

This paper presents a novel distributed probe system to measure the performance of the network in the cloud service system. Specifically, a three-layer architecture is designed to support a large number of network probes. Furthermore, the probes, which are used to implement the measurements across networks, have negligible influence on the entire network. Compared with the existing methods, our approach is more flexible and adaptable to the large-scale network. Our method can be adapted to the network in various kinds of cloud service systems, including private, public and hybrid ones. Moreover, the performance data will be returned in real time. By utilizing a statistical algorithm to analyze the data, our system will give the Cloud Service Administrator (CSA) a better and deeper evaluation of the situation of the network in the cloud service system. Experimental results demonstrate that our system is efficient and practical.

关键词： distributed Probe System Three-layer Network Measurement System Hybrid Cloud Service Network

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Spatial data correlation based clustering algorithms for wireless sensor networks

Spatial data correlation based clustering algorithms for wir...

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3rd international conference on Innovative computing Information and Control, ICICIC'08

作者： Chongqing, Zhang Binguo, Wang Sheng, Fang Jiye, Zheng Department of Network Engineering Shandong University of Science and Technology Qingdao China

ISBN: (纸本)9780769531618

In this paper, spatial data correlations are exploited to group sensor nodes into clusters of high data aggregation efficiency. The problem of selecting the set of cluster heads is defined as the weighted connected dominating set problem. Then centralized and distributed algorithms are developed to select the cluster heads. Simulation results demonstrate the effectiveness and efficiency of the designed algorithms. © 2008 ieee.

关键词： Clustering algorithms

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