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检索条件"任意字段=First IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS 2005"

共 1159 条记录，以下是121-130 订阅

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Random Gossip Processes in Smartphone Peer-to-Peer Networks 15

Random Gossip Processes in Smartphone Peer-to-Peer Networks

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15th Annual international conference on distributed computing in sensor systems (dcoss)

作者： Newport, Calvin Weaver, Alex Georgetown Univ Washington DC 20057 USA

ISBN: (纸本)9781728105703

In this paper, we study random gossip processes in communication models that describe the peer-to-peer networking functionality included in standard smartphone operating systems. These processes are well-understood in standard peer-to-peer network models, but little is known about their behavior in models that abstract the smartphone peer-to-peer setting. With this in mind, we begin by studying a simple random gossip process in the synchronous mobile telephone model (the most common abstraction used to study smartphone peer-to-peer systems). We prove that the simple process is actually more efficient than the best-known gossip algorithm in the mobile telephone model, which required complicated coordination among the nodes in the network. We then introduce a novel variation of the mobile telephone model that removes the synchronized round assumption, shrinking the gap between theory and practice. We prove that simple random gossip processes still converge in this setting and that information spreading still improves along with graph connectivity.

关键词： gossip distributed algorithms peer-to-peer networks

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Towards a Traffic Data Enrichment sensor based on Heterogeneous Data Fusion for ITS 15

Towards a Traffic Data Enrichment Sensor based on Heterogene...

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15th Annual international conference on distributed computing in sensor systems (dcoss)

作者： Rettore, Paulo H. Lopes, Roberto Rigolin F. Maia, Guilherme Villas, Leandro A. Loureiro, Antonio A. F. Univ Fed Minas Gerais Dept Comp Sci Belo Horizonte MG Brazil Fraunhofer FKIE Commun Syst Bonn Germany Univ Estadual Campinas Inst Comp Campinas SP Brazil

ISBN: (纸本)9781728105703

In this work, we propose Traffic Data Enrichment sensor (TraDES), towards a low-cost traffic sensor for Intelligent Transportation System (ITS) based on heterogeneous data fusion. TraDES aims at fusing data from vehicular traces with road traffic data to enrich current spatiotemporal traffic data. In that direction, we propose a robust methodology to group spatially and temporally these different data sources, producing a vehicular trace with its respective traffic conditions, which is given as input to a learning-based model based on Artificial Neural Networks (ANN). Hence, TraDES is an enriched traffic sensor that is able to sense (detect) traffic conditions using a scalable and low-cost approach and to increase the spatiotemporal traffic data coverage.

关键词： Intelligent Transportation systems Heterogeneous Data Fusion Big Data Participatory Sensing

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Resilient Self-Calibration in distributed Visual sensor Networks 15

Resilient Self-Calibration in Distributed Visual Sensor Netw...

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15th Annual international conference on distributed computing in sensor systems (dcoss)

作者： Simonjan, Jennifer Dieber, Bernhard Rinner, Bernhard Alpen Adria Univ Klagenfurt Klagenfurt Austria JOANNEUM RES Graz Austria

ISBN: (纸本)9781728105703

Today, camera networks are pervasively used in smart environments such as intelligent homes, industrial automation or surveillance. These applications often require cameras to be aware of their spatial neighbors or even to operate on a common ground plane. A major concern in the use of sensor networks in general is their robustness and reliability even in the presence of attackers. This paper addresses the challenge of detecting malicious nodes during the calibration phase of camera networks. Such a resilient calibration enables robust and reliable localization results and the elimination of attackers right after the network deployment. Specifically, we consider the problem of identifying subverted nodes which manipulate calibration data and can not be detected by standard cryptographic methods. The experiments in our network show that our self-calibration algorithm enables location-unknown cameras to successfully detect malicious nodes while autonomously calibrating the network.

关键词： Calibration Cameras Wireless sensor networks Reliability Tracking Cryptography

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BYEE: Batch Fully Private Scheme for Coded distributed Matrix Multiplication

BYEE: Batch Fully Private Scheme for Coded Distributed Matri...

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

作者： Guojing Li Jin Wang Xiaotian Zou Lingzhi Li Fei Gu School of Computer Science and Technology Soochow University Suzhou China Collaborative Innovation Center of Novel Software Technology and Industrialization

Recently, user privacy in distributed computing has received increasing attention. Matrix multiplication is one of the fundamental high-frequency operations in distributed machine learning (e.g., gradient descent, linear regression). This paper studies the batch Fully Private distributed Matrix Multiplication (FPMM) problem. In batch FPMM, the user aims to compute multiple desired matrix multiplications from two public libraries which are stored across all workers. Batch FPMM requires that colluding workers cannot obtain the indexes of all desired ma-trices in the two public libraries (i.e., privacy constraint). In this paper, we first propose the Bath fullY privatE schemE (BYEE) to encode multiple desired matrix multiplications together based on the construction of bilinear complexity. We then perform a solid theoretical analysis to prove the privacy and decodability of BYEE. Multi-aspect analysis and extensive simulation results illustrate that BYEE can significantly reduce the computation latency than state-of-the-art schemes that do not jointly encode multiple desired matrix multiplications, especially when the number of desired matrix multiplications and the number of colluding workers are large.

关键词： Privacy Analytical models Simulation Computational modeling Linear regression Machine learning Solids

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PotatoScanner - A Mobile Delay Tolerant Wireless sensor Node for Smart Farming Applications 15

PotatoScanner - A Mobile Delay Tolerant Wireless Sensor Node...

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15th Annual international conference on distributed computing in sensor systems (dcoss)

作者： Gernert, Bjoern Schlichter, Jan Wolf, Lars Tech Univ Carolo Wilhelmina Braunschweig Inst Operating Syst & Comp Networks Braunschweig Germany

ISBN: (纸本)9781728105703

Smart Farming has the goal to support farmers in their various activities, i.e., achieve best results in quality and quantity of their products, with low and efficient resource usage, working in sustainable manners etc. For that, a lot of information is needed, e.g., about the current state of the monitored agricultural area. Typically this requires a large number of sensors which collect important sensor data at predefined intervals. For further evaluation such data is usually processed in a central place, for which it must first be transferred from the field to a data sink at the farm premises. Cellular networks could be used for such data transmissions, but the network deployment in rural areas is costly with less likely revenues. Thus, mobile operators are not eager to roll out their networks in rural areas so that they are often not well covered. In this paper we introduce PotatoScanner, a mobile Delay Tolerant Wireless sensor Node (DTWSN) that closes this gap and acts with the help of a field sprayer as a data mule for the collected data. In addition, PotatoScanner itself has sensors to obtain further information about the cultivated field. The paper provides an overview of the overall system and analyses the measurement data obtained in real operation over the past two years 2017 and 2018.

关键词： wireless sensor networks delay tolerant networking wireless sensor nodes smart farming precision farming field sprayer

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A Configurable distributed Data Analytics Infrastructure for the Industrial Internet of Things 15

A Configurable Distributed Data Analytics Infrastructure for...

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15th Annual international conference on distributed computing in sensor systems (dcoss)

作者： Kefalakis, Nikos Roukounaki, Aikaterini Soldatos, John Athens Informat Technol IoT Grp Maroussi Greece

ISBN: (纸本)9781728105703

Executing analytics functionalities over data from highly distributed data sources and data streams is at the very core of the vast majority of Industrial Internet of Things (IIoT) applications. State of the art streaming engines provide the means for high performance analytics over high velocity IIoT streams, yet they still need significant programming and customization efforts when deployed in heterogeneous industrial environments. This paper introduces a configurable engine for distributed data analytics for IIoT applications. The engine leverages the performance of state of the art data streaming middleware platforms, which it augments with a set of digital models for configuring DDA operations. As such the introduced engine reduces the effort needed to implement and deploy distributed data analytics in IIoT environments. The engine is available as open source software and has been validated in a various real-life IIoT applications in different environments.

关键词： distributed Data Analytics BigData Industrial Internet of Things Industry4.0

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Weak Network Oriented Mobile distributed Storage: A Hybrid Fault-Tolerance Scheme Based on Potential Replicas

Weak Network Oriented Mobile Distributed Storage: A Hybrid F...

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

作者： Xinlei Wei Yujuan Tan Duo Liu Daitao Wu Yu Wu Xianzhang Chen Jian Li College of Computer Science Chongqing University Chongqing China School of Big Data & Software Engineering Chongqing University Chongqing China School of Electrical Engineering Chongqing University Chongqing China

Node failure is one of the most typical issues in distributed storage systems. The classic fault-tolerance methods can meet the fault tolerance needs of systems deployed in edge storage, 5G IoT, and other high-performance data centers. However, mobile distributed systems contend with inconsistent network signals and relatively low bandwidth in weak network environments. The traditional fault-tolerance schemes have difficulty ensuring distributed storage and data repair simultaneously, posing a considerable challenge to data storage reliability. To address this problem, we proposed a hybrid fault-tolerance scheme based on potential replicas, called HFPR, which trades off storage overhead and performance for weak network mobile distributed storage systems. HFPR first stores data with the erasure code redundancy and then gradually increases data redundancy by reserving potential replicas, enabling the system to disperse network transmission pressure and reduce network transmission. To maximize replica utilization and control the storage overhead of potential replicas, we design a node state prediction mechanism and a file lifecycle management mechanism. Evaluation results show that, compared with the traditional hybrid fault-tolerant scheme with the same storage overhead, HFPR achieves better replica-level repair efficiency in data repair and a reduced probability of degraded reads by approximately 50%. During data distribution, HFPR can minimize data write amplification by up to 1.1× and additional network transfers by up to 77.5%.

关键词： Data centers Fault tolerant systems Redundancy distributed databases Memory Bandwidth Maintenance engineering

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3DS: An Efficient DPDK-based Data Distribution Service for distributed Real-time Applications

3DS: An Efficient DPDK-based Data Distribution Service for D...

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

作者： Tianyu Xu Xianzhang Chen Changze Wu Jiapin Wang Rongwei Zheng Duo Liu Yujuan Tan Ao Ren Jian Li College of Computer Science Chongqing University Chongqing China School of Big Data and Software Engineering Chongqing University Chongqing China School of Electrical Engineering Chongqing University Chongqing China

Data Distribution Service (DDS) is a widely-used middleware for data transmission in distributed real-time applications, such as autonomous vehicles and robotics. However, the communication of existing DDS middlewares generally relies on the network stacks of the operating system, which brings long latency to the real-time applications. In this paper, we propose a DPDK-based DDS, dubbed 3DS, to improve the performance of communication of DDS middlewares. first, 3DS reduces the latency of communication between distributed real-time applications by avoiding the latency of kernel. Second, 3DS reduces the overhead of dynamic memory allocation and deallocation by a reserved memory pool. Finally, 3DS adopts a thread-exclusive CPU model to reduce the resource contention between threads. We implement and evaluate 3DS on real systems running Linux. The experimental results show that 3DS reduces 44% of the communication latency over FastDDS, which is the state-of-the-art DDS middleware used by ROS2. Moreover, the throughput of data transfer in 3DS can be 1.51 times that of FastDDS.

关键词： Three-dimensional displays Smart cities Instruction sets distributed databases Throughput Real-time systems Virtual machining

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An Architecture model for Smart Farming 15

An Architecture model for Smart Farming

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15th Annual international conference on distributed computing in sensor systems (dcoss)

作者： Triantafyllou, Anna Tsouros, Dimosthenis C. Sarigiannidis, Panagiotis Bibi, Stamatia Univ Western Macedonia Dep Informat & Telecommun Engn Kozani Greece

ISBN: (纸本)9781728105703

Smart Farming is a development that emphasizes on the use of modern technologies in the cyber-physical field management cycle. Technologies such as the Internet of Things (IoT) and Cloud computing have accelerated the digital transformation of the conventional agricultural practices promising increased production rate and product quality. The adoption of smart farming though is hampered because of the lack of models providing guidance to practitioners regarding the necessary components that constitute IoT based monitoring systems. To guide the process of designing and implementing Smart farming monitoring systems, in this paper we propose a generic reference architecture model, taking also into consideration a very important non-functional requirement, the energy consumption restriction. Moreover, we present and discuss the technologies that incorporate the four layers of the architecture model that are the sensor Layer, the Network Layer, the Service Layer and the Application Layer. A discussion is also conducted upon the challenges that smart farming monitoring systems face.

关键词： Wireless sensor Networks Internet of Things Precision Agriculture Smart Farming Communication technologies Cloud computing

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Mobility Management Solutions in Industrial Wireless sensor Networks 15

Mobility Management Solutions in Industrial Wireless Sensor ...

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15th Annual international conference on distributed computing in sensor systems (dcoss)

作者： Zinonos, Zinon Vassiliou, Vasos Neapolis Univ Pafos Dept Comp Sci Pafos Cyprus Univ Cyprus Dept Comp Sci Nicosia Cyprus RISE Res Ctr Interact Media Smart Syst & Emerging Nicosia Cyprus

ISBN: (纸本)9781728105703

A number of sensor network applications are envisioned to be applied to industry settings where the existence of mobile nodes (MN) is required. In critical applications, the real-time monitoring of a MN must always be available, something that requires the existence of a suitable mobility protocol to control the handoff procedure. In this paper, we use an industrial WSN setting to perform a comprehensive performance evaluation of different mobility handling solutions based on single- and multiple-metric options. The results show that Fuzzy Logic-based Mobility Controller (FLMC), the multiple-metric approach we used (based on Fuzzy Logic), performs better compared to any single metric-based approach under a varying set of conditions. More specifically, we demonstrate that the Fuzzy Logic -based approach can efficiently control the handoff triggering procedure and provide high reliability (low packet loss) under different mobility models, different radio propagation models, and different topologies.

关键词： sensor Networks Mobility Management Fuzzy Logic

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