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

共 3168 条记录，以下是71-80 订阅

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Crowdsourced Edge: A Novel Networking Paradigm for the Collaborative Community 16

Crowdsourced Edge: A Novel Networking Paradigm for the Colla...

引用

16th Annual international conference on distributed computing in sensor systems (dcoss)

作者： Kundig, Stephan Angelopoulos, Constantinos Marios Kuppannagari, Sanmukh R. Rolim, Jose Prasanna, Viktor K. Univ Geneva Comp Sci Dept Geneva Switzerland Bournemouth Univ Fac Sci & Technol Bournemouth Dorset England Univ Southern Calif Ming Hsieh Dept Los Angeles CA 90007 USA

ISBN: (纸本)9781728143514

Edge computing established paradigms are prone to implicate solely powerful server-like edge nodes, in static or semistatic topologies, of centrally-controlled edge networks. In this paper, leveraging upon recent technological advancements and trends, we introduce a novel networking paradigm employing resources provided by independent crowd peers, within a zone of local proximity, to establish collaborative networks for edge computing. We call this paradigm the Crowdsourced Edge. We detail the architecture and characteristics of this novel paradigm, highlighting its unique characteristics and specific challenges, while also positioning it vis-a-vis the existing edge computing concretisations. Finally, we demonstrate the Crowdsourced Edge functionality by presenting an ongoing use case regarding a video-enhanced object search.

关键词： edge computing crowdsourced systems distributed networking

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Anomaly detection of data and topology patterns in WSNs 17

Anomaly detection of data and topology patterns in WSNs

引用

17th Annual ieee international conference on distributed computing in sensor systems (ieee dcoss)

作者： Zakrzewski, Robert Martin, Trevor Oikonomou, George Univ Bristol Commun Syst & Networks Bristol Avon England Univ Bristol Artificial Intelligence Grp Bristol Avon England

ISBN: (纸本)9781665439299

Wireless sensor networks are often distributed which makes detection of cyber-attacks or misconfiguration hard. Topology and data patterns change may result from attacks leading to the compromise of data and service availability or indicate operational problems. Graphs are often used to model topology and data paths to describe and compare state of a system. For anomaly detection, the definition of normal patterns, deviation from normal, and criteria when to declare anomaly are required. In this contribution the process of acquisition of normal patterns (ground truth), and criteria when to declare anomaly based on graph comparison are proposed. The anomaly detection is suitable for deployment at the edge of a network. Finally, the inability to define all security threats is addressed by a custom tree-based classifier which only requires normal patterns for training. A simulated wireless sensor network was used to acquire data and apply the method. Our experiments show that data and topology change can be detected at the edge of a network.

关键词： Anomaly detection Machine learning sensor network Data pattern Topology Graph Cyber-security Fault detection

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distributed computing Framework for Underwater Acoustic sensor Networks

Distributed Computing Framework for Underwater Acoustic Sens...

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9th ieee international conference on distributed computing in sensor systems (dcoss)

作者： Pandey, Parul Pompili, Dario Rutgers State Univ Dept Elect & Comp Engn New Brunswick NJ 08903 USA

ISBN: (纸本)9780769550411

The goal of this paper is to enable near-realtime acquisition and processing of high resolution, high-quality, heterogeneous data from mobile and static sensing platforms to advance ocean exploration by providing infrastructure for a distributed computing framework. Reaching this goal will improve the efficiency of monitoring dynamic oceanographic phenomena such as phytoplankton growth and rate of photosynthesis, salinity and temperature gradient, and concentration of pollutants. resource provisioning framework for organizing the heterogeneous sensing, computing, and communication capabilities of static and mobile devices in the vicinity in order to form an elastic resource pool a hybrid static/mobile computing grid is presented. This local computing grid can be harnessed to enable innovative data- and compute-intensive mobile applications such as onshore near-real-time data processing, analysis and visualization, mission planning and online ocean adaptive sampling.

关键词： mobile computing underwater acoustic communication wireless sensor networks

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WiDeo: One Shot Domain Adaptation for Cross-Environment WiFi-Based Activity Classification Through RF-Visual Joint Embedding 17

WiDeo: One Shot Domain Adaptation for Cross-Environment WiFi...

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17th Annual ieee international conference on distributed computing in sensor systems (ieee dcoss)

作者： Islam, Md Tamzeed Nirjon, Shahriar Univ N Carolina Dept Comp Sci Chapel Hill NC 27515 USA

ISBN: (纸本)9781665439299

The effect of environmental change in WiFi signal is a major obstacle for generalized WiFi-based activity recognition. In this paper, we propose a novel method for adapting a WiFi-based activity classifier, that is trained on a large-scale dataset for an environment, to a new environment with only one labeled sample per activity. To this end, we propose a novel representation extraction algorithm using the supervision of visual data during the training phase. Our proposed feature extraction explicitly learns the corresponding relation between WiFi signal and movement of human body parts. For environment adaptation, we propose a framework that relies on only one labeled sample per activity class in comparison with current state-of-the-art solutions which are not suitable for few-shot adaptation. We collect data from four volunteers from five different environments and show that our proposed solution is able to achieve 28% higher accuracy than state-of-the-art solutions for environmental adaptation.

关键词： Training Visualization Adaptation models Correlation distributed databases Activity recognition Feature extraction

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Utilizing Blockchain for distributed Machine Learning based Intrusion Detection in Internet of Things 16

Utilizing Blockchain for Distributed Machine Learning based ...

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16th Annual international conference on distributed computing in sensor systems (dcoss)

作者： Cheema, Muhammad Asaad Qureshi, Hassaan Khaliq Chrysostomou, Chrysostomos Lestas, Marios Natl Univ Sci & Technol NUST Islamabad Pakistan Frederick Univ Nicosia Cyprus

ISBN: (数字)9781728143514

ISBN: (纸本)9781728143514

In this paper, we present a distributed machine learning based intrusion detection system in Internet of Things (IoT) utilizing Blockchain technology. In particular, spectral partitioning is proposed to divide the IoT network into autonomous systems (AS) enabling traffic monitoring for intrusion detection (ID) to be performed by the selected AS border area nodes in a distributed manner. The ID system is based on machine learning, where a support-vector machine algorithm is trained using prominent IoT data sets and detection of the attackers is provided. Furthermore, the integrity of the attackers' list is offered by utilizing Blockchain technology, which enables a distributed sharing of the attackers' information among the AS border area nodes of the Blockchain network. Simulations are performed to evaluate different aspects of the proposed IoT system and demonstrate the potential of integrating machine learning based ID to a distributed spectral partitioned Blockchain network.

关键词： Blockchain Spectral Partitioning Machine Learning Intrusion Detection Internet of Things

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S-GinMob: Soft-Handoff Solution for Mobile Users in Industrial Environments

S-GinMob: Soft-Handoff Solution for Mobile Users in Industri...

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7th ieee international conference on distributed computing in sensor systems (dcoss)

作者： Zinonos, Zinon Vassiliou, Vasos Univ Cyprus Dept Comp Sci Networks Res Lab Nicosia Cyprus

ISBN: (纸本)9781457705137

In current research studies and testbed deployments of sensor networks, individual sensor nodes are usually assumed to be static. However, recent applications require mobile sensor nodes, something that poses unique challenges in aspects like resource management, topology control, and performance. In this paper we propose a novel soft-handoff mobility protocol that provides zero handoff time and zero packet losses. The proposed solution uses cross-layer information from the MAC layer, the Topology Control, and the Performance Debugging modules of the employed architecture. Our solution was implemented and evaluated in a critical scenario inside an oil refinery.

关键词： MAC layer S-GinMob access protocols cross-layer information industrial environment mobile sensor nodes mobile users mobility management (mobile radio) oil refinery oil refining performance debugging modules resource management sensor network soft-handoff

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Towards Ambiently Powered Inference on Wireless sensor Networks: Asynchrony is the Key! 17

Towards Ambiently Powered Inference on Wireless Sensor Netwo...

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17th Annual ieee international conference on distributed computing in sensor systems (ieee dcoss)

作者： Papageorgiou, Vasileios Nichoritis, Athanasios Vasilakopoulos, Panagiotis Vougioukas, Georgios Bletsas, Aggelos Tech Univ Crete Sch Elect & Comp Engn Khania 73100 Greece

ISBN: (纸本)9781665439299

Is it possible to build ultra-low power wireless sensor networks (WSN) that exploit the inherent parallel and distributed nature of powerful message passing/inference algorithms, embrace ultra-low power communication principles and make autonomous, in-network decisions, solely powered by the environment? While edge and cloud computing emerge, this work points towards the opposite direction, inspired by the fact that ambient energy, either from radio frequency (RF), sun, motion, temperature or even living organisms, has fixed (on average) density per surface (or volume). It is shown, perhaps for the first time in the literature (to the best of our knowledge), a proof of concept, where a WSN harvests energy from the environment and processes itself the collected information in a distributed manner, by converting the (network) inference task to a probabilistic, message passing problem. Examples from Gaussian Belief Propagation and Average Consensus are offered;ambient energy harvesting and availability are quantified, controling the probability of successful (or not) message passing. Such interrupted communication requires distributed algorithms robust to asynchrony, at the expense of increased overall delay. Simulation and experimental validation are offered in a WSN testbed with solar energy harvesting. Future work will focus on overall delay minimization.

关键词： Wireless communication Wireless sensor networks Message passing Solar energy sensor systems Delays Low-power electronics

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Cooperative Modulation Diversity Applied to Heterogeneous Wireless sensor Networks

Cooperative Modulation Diversity Applied to Heterogeneous Wi...

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9th ieee international conference on distributed computing in sensor systems (dcoss)

作者： Sousa, Marcelo Portela Araujo Lopes, Waslon Terllizzie Madeiro, Francisco Alencar, Marcelo S. Fed Inst Paraiba IFPB Campina Grande PB Brazil Inst Adv Studies Commun Iecom Campina Grande PB Brazil Fed Univ Campina Grande UFCG Campina Grande PB Brazil Univ Pernambuco Polytech Sch Pernambuco Recife PE Brazil

ISBN: (纸本)9781479946181

The technology of Wireless sensor Networks (WSNs) has been applied to automatic monitoring systems, and used in a wide variety of environments. In this paper, the authors evaluate the performance of a cooperative technique, applied to heterogeneous WSNs. The main contribution is the analysis of the impacts between the energy factor, the channel Signal-to-Noise Ratio (SNR) and the packet loss rate. The analysis also considers the energy consumption aspect. The cooperative modulation diversity performance is evaluated for different propagation scenarios and for two values of interleaving depth (K). A large value for K, leads the network to present lower values of packet lost rate. Some limiting conditions are obtained and the retransmission algorithm is discussed.

关键词： Wireless sensor networks energy factor signal to noise ratios Potassium automatic monitoring

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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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Experimental Evaluation of Energy Balance Algorithms in the SenseWALL sensor Network Test-bed

Experimental Evaluation of Energy Balance Algorithms in the ...

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7th ieee international conference on distributed computing in sensor systems (dcoss)

作者： Angelopoulos, Constantinos Marios Efstathiou, Dionysios Nikoletseas, Sotiris Computer Technology Institute (CTI) and University of Patras Greece

ISBN: (纸本)9781457705137

We present key aspects (hardware, software, topology, networking) of SenseWall, an experimental sensor network test-bed we have created for the implementation and engineering of distributed sensor network algorithms. We then describe how SenseWall has been in particular used to implement two recent state of the art algorithms for energy balanced sensor data propagation. We elaborate on the issues and challenges created by the restrictions and particularities of the experimental test-bed and how we dealt with them. We also carry out a detailed performance evaluation comparing the energy balance protocols to two baseline protocols that include only either single hop or direct data transmissions.

关键词： Batteries Energy consumption Energy measurement Hardware Protocols Radiation detectors Universal Serial Bus baseline protocols data communication data transmissions distributed sensor network algorithms energy balance algorithms energy balance protocols e

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