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Message from the Chairs of the Joint Workshop on Emerging Topics in sensor systems

Message from the Chairs of the Joint Workshop on Emerging To...

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international conference on distributed computing in sensor systems (dcoss)

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The Influence-Maximizing Node Selection Algorithm Based on Local Isolated Centrality in Large-scale networks Implemented by distributed Graph computing 24

The Influence-Maximizing Node Selection Algorithm Based on L...

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24th ieee international conference on High Performance computing and Communications, 8th ieee international conference on Data Science and systems, 20th ieee international conference on Smart City and 8th ieee international conference on Dependability in sensor, Cloud and Big Data systems and Application, HPCC/DSS/SmartCity/DependSys 2022

作者： Chen, Piaoyang Lei, Rong Deng, Mingsen School of Information Guizhou University of Finance and Economics Guiyang China

ISBN: (纸本)9798350319934

Identifying influence-maximizing (IM) nodes is an effective strategy for designing efficient communication networks or contain the spreading of information for rumors and epidemics with limited budgets. With the growing of the sizes of the social networks, finding solutions to the problem of intfuence - maximizing vertices becomes more and more challenging. Tra-ditionally, the number of users finally affected was the focus. However, the information diffusion speed was becoming a bottle-neck of IM problems. In this paper, we proposed a locality-aware vertex selection strategy based on local isolation centrality (LIC), while the information diffusion experiments used the Independent Cascade (IC) model. The computing scheme was implemented by a distributed graph computing framework. The superiority of the LIC algorithm was confirmed by evaluated on three real-world datasets. It was indistinguishable from algorithms such as K-shell, H-index, degree centrality (DC), local centrality (LC), and VoteRank at the diffusion cascade scale. But it showed better superiority in diffusion speed. More importantly, by comparing LIC with the VoteRank algorithm, which was the closest algorithm on diffusion speed to that of LIC, the huge advantage of the LIC algorithm in terms of time cost was found. We believe that the locality-aware LIC algorithm was more suitable for the influence-maximization problem in very large-scale social networks. © 2022 ieee.

关键词： Bottles

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(POSTER) Network Testbed for Experimenting With Decentralized Federated Learning

(POSTER) Network Testbed for Experimenting With Decentralize...

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international conference on distributed computing in sensor systems (dcoss)

作者： Anirban Mandal Komal Thareja Paul Ruth University of North Carolina at Chapel Hill USA

ISBN: (数字)9798350369441

ISBN: (纸本)9798350369458

Federated Learning (FL) has seen widespread adoption in different domains - healthcare, IoT, edge-computing, etc. While the predominant FL approach is centralized (CFL), more recent approaches are being investigated where the global model is aggregated in a decentralized fashion using innovative client topologies, as in Decentralized FL (DFL), addressing issues of single point of failure, trust etc. Various factors like resource heterogeneity, network performance, data distribution, data volumes, and FL configuration impact the optimization and performance of FL applications, with challenges exacerbating for DFL due to additional factors like client topologies, communication patterns, dynamic updates, etc. It is often non-trivial for FL application developers to provision and configure the resources to experiment with FL applications. This paper makes a case for using the FABRIC testbed and tools to efficiently provision, configure, deploy and manage FL architectures on a real distributed network testbed, by (a) providing a sandbox to emulate a range of infrastructure behaviors to test and optimize FL applications, and (b) enabling a rich set of network topologies beyond the client-server model, e.g. mesh, ring, etc. with support for high volume data movement, dynamic network functions and realistic communication patterns, especially relevant for DFL. We present our architecture and example DFL deployments.

关键词： Network topology Federated learning distributed databases Computer architecture Medical services Dynamic scheduling Fabrics

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Are You Really Charging Me? 42

Are You Really Charging Me?

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42nd ieee international conference on distributed computing systems (ICDCS)

作者： Lin, Chi Yang, Ziwei Ren, Jiankang Wang, Lei Zhong, Wei Wu, Guowei Zhang, Qiang Dalian Univ Technol Sch Software Technol Dalian Peoples R China Xidian Univ State Key Lab Integrated Serv Networks Xian Peoples R China Key Lab Ubiquitous Network & Serv Software Liaoni Dalian Peoples R China Dalian Univ Technol Sch Comp Sci & Technol Dalian Peoples R China Dalian Univ Technol DUT RU Int Sch Informat Sci & Engn Dalian Peoples R China

ISBN: (数字)9781665471770

ISBN: (纸本)9781665471770

Wireless rechargeable sensor networks (WRSNs), which benefit from recent breakthroughs in Wireless Power Transfer (WPT) technology, emerge as very promising for network lifetime extension. Traditional methods concentrate on system performance improvement while little attention has been paid to security, making them vulnerable to novel attacks. In this paper, we develop a novel Charging Spoofing Attack (CSA), in which a mobile charger (MC) is charging a node intuitively. Nevertheless, it is launching an attack based on the nonlinear superposition principle of electromagnetic waves, causing the target node to be unable to receive any energy and finally exhausted in vain. First, we explain and model the nonlinear superposition effect through experiments, which points out the potential of launching such a novel attack. Second, we formalize the attacking problem as a charging uTility optimization problem with key noDe timE window constraints (TIDE). Then, we propose an approximation algorithm termed CSA to solve the TIDE problem with a bounded performance guarantee. Theoretical analyses are presented to exploit the feature of CSA. Finally, to demonstrate the outperformed features of our scheme, extensive simulations and test-bed experiments are conducted, revealing that CSA can exhaust at least 80% of key nodes without being detected.

关键词： Wireless communication Wireless sensor networks System performance Wireless power transfer Programming Approximation algorithms Time factors

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Irregular Honeycomb Network: Revolutionizing k-Coverage in Spatial Wireless sensor Networks

Irregular Honeycomb Network: Revolutionizing k-Coverage in S...

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international conference on distributed computing in sensor systems (dcoss)

作者： Dakshanya Maddala Habib M. Ammari Department of Electrical Engineering and Computer Science Frank H. Dotterweich College of Engineering Wireless Sensor and Mobile Autonomous Networks (WiSeMAN) Research Lab Texas A&M University-Kingsville Kingsville Texas USA

ISBN: (数字)9798350369441

ISBN: (纸本)9798350369458

sensor deployment, and in particular coverage, is a fundamental component in the design and development of wireless sensor networks. Achieving coverage (or 1-coverage) in three-dimensional (or spatial) wireless sensor networks (WSNs), which requires that every point in a spatial field of interest (FoI), is an open challenging problem. In particular, the problem of k-coverage in spatial WSNs, where every point in a spatial FoI is k-covered (or covered by at least k sensors at the same time), is even more challenging. In this paper, we investigate the problem of connected k-coverage in spatial WSNs, where a spatial FoI is k-covered while all the sensors participating in this k-coverage process are connected to each other. Our study aims at producing an energy-efficient and optimized protocol, which helps achieve connected k-coverage in spatial WSNs with a minimum number of sensors, thus, extending the network lifespan. Precisely, this study is based on convex polyhedral space fillers that help establish an irregular hexagonal prism tessellation referred to as Irregular Honeycomb Network (IHN), which serves as a medium to achieve k-coverage in spatial WSNs. First, we propose a randomly distributed sensor placement strategy, which is designed to guarantee full k-coverage of a spatial FoI. To this end, we tile a spatial FoI with irregular hexagonal prisms, known as space fillers, which are adjacent to each other without any gaps or overlaps. Second, we exploit this tiling strategy to guarantee k-coverage of a spatial FoI. Then, we compute the spatial sensor density (i.e., number of sensors per unit volume) to k-cover a spatial FoI. Third, we determine the necessary relationship between the sensors’ communication and sensing ranges to ensure network connectivity. We corroborate our analysis with various simulation results.

关键词： Wireless communication Wireless sensor networks sensor placement Protocols Simulation Stochastic processes Energy efficiency

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Evaluation of Environmental Conditions on Object Detection Using Oriented Bounding Boxes for AR Applications

Evaluation of Environmental Conditions on Object Detection U...

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international conference on distributed computing in sensor systems (dcoss)

作者： Vladislav Li Barbara Villarini Jean–Christophe Nebel Thomas Lagkas Panagiotis Sarigiannidis Vasileios Argyriou Dept. of Networks and Digital Media Kingston University London United Kingdom School of Computer Science and Engineering University of Westminster London UK Dept. of Computer Science Kingston University London UK Dept. of Computer Science International Hellenic University Greece & S.E. Research Centre Dept. of Electrical and Comp. Engineering University of Western Macedonia Kozani Greece

The objective of augmented reality (AR) is to add digital content to natural images and videos to create an interactive experience between the user and the environment. Scene analysis and object recognition play a crucial role in AR, as they must be performed quickly and accurately. In this study, a new approach is proposed that involves using oriented bounding boxes with a detection and recognition deep network to improve performance and processing time. The approach is evaluated using two datasets: a real image dataset (DOTA dataset) commonly used for computer vision tasks, and a synthetic dataset that simulates different environmental, lighting, and acquisition conditions. The focus of the evaluation is on small objects, which are difficult to detect and recognise. The results indicate that the proposed approach tends to produce better Average Precision and greater accuracy for small objects in most of the tested conditions.

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Analysis of the distributed Network Integrated Online Sports Detection System

Analysis of the Distributed Network Integrated Online Sports...

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6th international conference on Intelligent computing and Control systems, ICICCS 2022

作者： Wang, Yongjun Huazhong University of Science and Technology Sports Institute Wuhan 430000 China

ISBN: (纸本)9781665410359

This paper uses a variety of research methods to investigate the implementation effect of online physical education teaching in a primary school during the new crown pneumonia epidemic. The results found that the online teaching strategy is insufficient in the specific implementation process, focusing on the local decision algorithm of wireless sensor network distributed sports online detection and the data fusion algorithm of the system fusion center, and the classical Bayesian and Neyman- Pearson's theory is analyzed, aiming to build a variety of communication and docking platforms, improve the professional quality of physical education teachers, cultivate students' habit of self-exercise, realize the orderly development of the daily online teaching system of physical education classes, and provide the basis for the future development of physical education teaching during the epidemic period. Provide reference and reference. © 2022 ieee.

关键词： Wireless sensor networks

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ReSLB: Load Balanced Workflow for distributed Deep Learning Mass Spectrometry Database 24

ReSLB: Load Balanced Workflow for Distributed Deep Learning ...

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作者： Mocheng, Li Yang, Liu Yang, Ou Zhiguang, Chen Nong, Xiao Tao, Chen College of Computer National University of Defense Technology Institute for Quantum Information State Key Laboratory of High Performance Computing Changsha China College of Computer National University of Defense Technology Changsha China School of Computer Sun Yat-sen University Guangzhou China Beijing China

ISBN: (纸本)9798350319934

The proteomics data analysis pipeline based on the shotgun method requires efficient data processing methods. The parallel algorithm of mass spectrometry database search faces the problems of rapidly expanding database size but low scalability. The heterogeneous database search algorithm based on deep learning is an effective way to solve this problem. Still, the deep learning-based distributed parallel database search algorithm is lacking. This paper analyzes the database searching computational load using a neural network and designs ReSLB, a workflow for the restricted search of mass spectrometry data based on GPU cluster and neural network scoring algorithm. This work aims to ensure the high scalability of future deep learning-based mass spectrometry distributed databases. In the performance estimation of 256 GPUs, the load imbalance of less than 30% and the parallel efficiency of 60% are achieved. Compared with state-of-the-art, the time cost is reduced by 75%, and the parallel efficiency from 1 to 256 GPUs is 3.6x higher than that. © 2022 ieee.

关键词： Mass spectrometry

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An Energy Dispatch Mechanism Based on Double Auction with Multiple Rounds for a Microgrid 23

An Energy Dispatch Mechanism Based on Double Auction with Mu...

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23rd ieee international conference on High Performance computing and Communications, 7th ieee international conference on Data Science and systems, 19th ieee international conference on Smart City and 7th ieee international conference on Dependability in sensor, Cloud and Big Data systems and Applications, HPCC-DSS-SmartCity-DependSys 2021

作者： Liu, Weirong Ma, Cheng Cheng, Yijun Jiang, Fu Rong, Jieqi Peng, Jun School of Computer Science and Engineering Central South University Changsha China School of Automation Central South University Changsha China

ISBN: (纸本)9781665494571

In a microgrid, distributed energy resources (DERs) can supply energy for consumers. How to schedule energy between DERs and consumers and reduce the dependence on the main power grid is of extreme importance for a microgrid. In this paper, a multi-round double auction mechanism is proposed to achieve coordinated and optimal energy dispatch, which allows multiple sellers to trade energy with multiple buyers through adjusting prices dynamically in each round until the buyers' bids are not less than the sellers' asks. Different from existing auctions, the excessive energy of one seller can be divided and traded to multiple buyers, and one buyer can purchase the energy from multiple sellers. The simulation results show that the proposed mechanism significantly reduces auction rounds and the dependence on the main power grid and improves auction utility when compared with the existing double auction. © 2021 ieee.

关键词： Schedules Smart cities Energy resources Simulation Microgrids distributed power generation Resource management

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A Flooding Attack Detection and Mitigation Technique in Wireless sensor Networks 7

A Flooding Attack Detection and Mitigation Technique in Wire...

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7th international conference on Intelligent computing and Control systems, ICICCS 2023

作者： Mahajan, Makul Batra, Salil Malhi, Simarjit Singh Singh, Gursharan Lovely Professional University School of Computer Science and Engineering Phagwara India

ISBN: (纸本)9798350397253

Wireless sensor Networks (WSNs) are made up of sensor nodes with a finite supply of energy that cooperate to accomplish a common goal. WSNs are widely used to carry out a variety of monitoring duties in challenging environments that are difficult to reach and even dangerous. The distributed nature of WSNs makes them vulnerable to a wide range of physical attacks, including eavesdropping, Sybil attacks, node replication attacks, signal or radio jamming, denial of service (DoS) attacks, flooding attacks, node outages, and DoS attacks. In order to stop communicating between source and destination, the flooding outbreak attacks the network with unwarranted bogus route requests. The goal of a data flooding attack is to obstruct the communication between source and destination by flooding the network with an overwhelming amount of useless data packets. Using the networks simulator NS 2.33, this research study has assessed and compared the suggested technique FDMM with native AODV and current state-of-the-art protocols. On an average, the proposed algorithm shows 1.34% and 0.18% increase in PDF, 6.03% and 5.47% increase in throughput, 1.93% and 0.54% increase in average residual energy, 3.30% and 4.09% decrease in end to end delay when compared with state-of-the-art algorithms. © 2023 ieee.

关键词： Denial-of-service attack

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