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

共 30781 条记录，以下是1081-1090 订阅

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Challenges and Opportunities of a Vastly distributed Cloud computing Infrastructure - In the Context of the Dong Shu Xi Suan (DSXS) Project of China 23

Challenges and Opportunities of a Vastly Distributed Cloud C...

引用

23rd international conference on Transparent Optical Networks, ICTON 2023

作者： Liu, Ruiyun Yue, Shengnan Shao, Junyi Zhang, Shuai Zhu, Jiawen Chen, Baojun Sun, Weiqiang Hu, Weisheng Shanghai Jiao Tong University State Key Laboratory of Advanced Optical Communication Systems and Networks Shanghai200240 China

ISBN: (纸本)9798350303032

It has been widely recognized that placing cloud data centers near clean energy sources or in cooler environments may reduce the operational cost and carbon footprint. But when the scale of the system, in terms of the overall computing power and territorial coverage, is large, such benefits may be offset by the additional cost of moving data around and the complexity of efficiently utilizing the network and computational resources. In this paper, we discuss the benefits and challenges of a vastly distributed cloud computing infrastructure, in the particular context of the east-west synergized cloud computing project in China, i.e., the Dong Shu Xi Suan Project (DSXS). We discuss the state of art research that are relevant to this topic, and explore the potential technological advances such a project may bring. © 2023 ieee.

关键词： distributed cloud

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A Novel Levy-Guided Hybrid Algorithm for Energy-Aware Cluster Head Selection in Wireless sensor Networks using GWO-CS

A Novel Levy-Guided Hybrid Algorithm for Energy-Aware Cluste...

引用

2024 OPJU international Technology conference on Smart computing for Innovation and Advancement in Industry 4.0, OTCON 2024

作者： Divekar, Sachin Daruwala, Rohin Veermata Jijabai Technological Institute Department of Electrical Engineering Bombay India

ISBN: (纸本)9798350373783

Wireless sensor Networks (WSN) are crucial in modern communication systems, requiring the use of effective routing strategies to reduce energy usage and prolong the network's lifespan. This study presents an innovative energyefficient Cluster Head (CH) selection and routing scheme that incorporates a Grey Wolf Optimization- Cuckoo Search for Cluster Heads and Routing Scheme (GWO-CS) algorithm, augmented with Levy flights. The algorithm aims to improve the energy efficiency, average throughput, stability, and lifetime of Wireless sensor Networks (WSNs). Tackling challenges in basic Grey Wolf Optimization, the GWO-CS algorithm effectively addresses issues like exploitation-exploration imbalance, lack of population diversity, and premature convergence, leveraging the synergistic benefits of Levy flights. The investigation explores different factors that affect the performance of the network. The simulation results consistently showcase the exceptional performance of the GWO-CS model, highlighting its practical relevance in real-world situations. It outperforms other models in terms of node survival and energy efficiency. This study highlights the significance of selecting cluster heads and routing strategies that are optimized for WSN advancement. It showcases GWO-CS as a solution that is robust, efficient, and reliable in addressing key challenges in networking applications. This solution contributes significantly to the field of wireless sensor networks. © 2024 ieee.

关键词： Energy utilization

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Outlier-Resistant Protocol-Based distributed Fusion Estimator Design for Cyber-Physical systems 5

Outlier-Resistant Protocol-Based Distributed Fusion Estimato...

引用

5th international conference on Robotics, Intelligent Control and Artificial Intelligence, RICAI 2023

作者： Guo, Yaping Zha, Lijuan College of Information Engineering Nanjing University of Finance and Economics Nanjing China

ISBN: (纸本)9798350357950

The outlier-resistant distributed fusion estimation (DFE) issue is researched in this paper for cyber-physical systems (CPSs) with bandwidth constraints. The weighted try-once-discard (WTO D) protocol is used on the sensor-to-estimator channels. A group of outlier-resistant local estimators are devised. The corresponding fusion estimation error system (FEES) model is established. Utilizing Lyapunov theory and linear matrix inequality (LMI) method, sufficient conditions which make FEES asymptotically stable under a preset H∞ index are derived, and local estimator gains and fusion weighting matrices are attained. In the end, to prove the validity of the method developed, a numerical example is provided. © 2023 ieee.

关键词： cyber-physical systems (CPSs) distributed fusion estimation (DFE) outlier-resistant local estimators weighted tryonce-discard (WTOD) protocol

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Asynchronous Gossip in Smartphone Peer-to-Peer Networks 17

Asynchronous Gossip in Smartphone Peer-to-Peer Networks

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

作者： Newport, Calvin Weaver, Alex Zheng, Chaodong Georgetown Univ Washington DC 20007 USA Nanjing Univ Nanjing Peoples R China

ISBN: (纸本)9781665439299

In this paper, we study gossip algorithms in communication models that describe the peer-to-peer networking functionality included in most standard smartphone operating systems. We begin by describing and analyzing a new synchronous gossip algorithm in this setting that features both a faster round complexity and simpler operation than the best-known existing solutions. We also prove a new lower bound on the rounds required to solve gossip that resolves a minor open question by establishing that existing synchronous solutions are within logarithmic factors of optimal. We then adapt our synchronous algorithm to produce a novel gossip strategy for an asynchronous model that directly captures the interface of a standard smartphone peer-to-peer networking library (enabling algorithms described in this model to be easily implemented on real phones). Using new analysis techniques, we prove that this asynchronous strategy efficiently solves gossip. This is the first known efficient asynchronous information dissemination result for the smartphone peer-to-peer setting. We argue that our new strategy can be used to implement effective information spreading subroutines in real world smartphone peer-to-peer network applications, and that the analytical tools we developed to analyze it can be leveraged to produce other broadly useful algorithmic strategies for this increasingly important setting.

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

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Centralized and distributed Consensus in Wireless Network: An Analytical Comparison 20

Centralized and Distributed Consensus in Wireless Network: A...

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20th ieee international conference on Embedded and Ubiquitous computing (EUC)

作者： Yu, Dachao Zhang, Lei Univ Glasgow Sch Engn Glasgow G12 8QQ Lanark Scotland

ISBN: (纸本)9798350396355

The mission-critical decisions are usually made by a central node in connected autonomous systems enabled by IoT, AI and 5G etc. The reliability of decision-making largely depends on the condition of the central node, which can have unaffordable costs and low scalability in a massive-scale mobility network. Therefore, mission-critical IoT networks have been seeking new methods to achieve the growing reliability and latency requirement of cooperative decision-making. The distributed consensus protocol, which has been widely used in distributed computing systems, can provide robustness to the liveness of mission-critical decisions that may encounter node faults. This article first analytically derives the performance of two distributed consensus protocols: Raft and Hotstuff BFT, with the extra synchronization phases. In the presence of communication failure, the results are compared with the analytically derived performance of a centralized consensus. The comparison indicates the strengths and weaknesses of these consensus mechanisms from the perspective of full consensus reliability and communication latency, which provides guidelines for deploying the appropriate distributed autonomous systems in the future.

关键词： Consensus mechanism Crash fault tolerance Byzantine fault tolerance Raft Hotstuff Reliability Latency

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Proceedings - 16th Annual international conference on distributed computing in sensor systems, DCOSS 2020

Proceedings - 16th Annual International Conference on Distri...

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16th Annual international conference on distributed computing in sensor systems, DCOSS 2020

ISBN: (纸本)9781728143514

The proceedings contain 68 papers. The topics discussed include: AnguLoc: concurrent angle of arrival estimation for indoor localization with UWB radios;social-aware energy balancing in mobile opportunistic networks;an IoT based solar park health monitoring system for PID and hotspots effects;RIDER: proactive and reactive approach for urban traffic management in vehicular networks;privacy-preserving solutions in the industrial Internet of things;a gesture recognition approach to classifying allergic rhinitis gestures using wrist-worn devices - a multidisciplinary case study;improving the vehicular mobility analysis using time-varying graphs;and a SLIPT-assisted visible light communication scheme.

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sensor Observability Index: Evaluating sensor Alignment for Task-Space Observability in Robotic Manipulators

Sensor Observability Index: Evaluating Sensor Alignment for ...

引用

ieee/RSJ international conference on Intelligent Robots and systems (IROS)

作者： Wong, Christopher Yee Suleiman, Wael Univ Sherbrooke Sherbrooke PQ Canada

ISBN: (数字)9781665479271

ISBN: (纸本)9781665479271

In this paper, we propose a preliminary definition and analysis of the novel concept of sensor observability index. The goal is to analyse and evaluate the performance of distributed directional or axial-based sensors to observe specific axes in task space as a function of joint configuration in serial robot manipulators. For example, joint torque sensors are often used in serial robot manipulators and assumed to be perfectly capable of estimating end effector forces, but certain joint configurations may cause one or more task-space axes to be unobservable as a result of how the joint torque sensors are aligned. The proposed sensor observability provides a method to analyse the quality of the current robot configuration to observe the task space. Parallels are drawn between sensor observability and the traditional kinematic Jacobian for the particular case of joint torque sensors in serial robot manipulators. Although similar information can be retrieved from kinematic analysis of the Jacobian transpose in serial manipulators, sensor observability is shown to be more generalizable in terms of analysing non-joint-mounted sensors and other sensor types. In addition, null-space analysis of the Jacobian transpose is susceptible to false observability singularities. Simulations and experiments using the robot Baxter demonstrate the importance of maintaining proper sensor observability in physical interactions.

关键词： Jacobian matrices Torque Kinematics Robot sensing systems sensors Indexes Observability

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Efficient Compression Technique for Large Size Binary Sparse Matrix Using Modified Run Length Encoding for Memory Constraint Embedded systems

Efficient Compression Technique for Large Size Binary Sparse...

引用

2023 ieee international conference on Intelligent and Innovative Technologies in computing, Electrical and Electronics, ICIITCEE 2023

作者： Nikhil, G.S. Pandey, Puneet Hota, Manjit Goel, Manish Samsung Semiconductors India R and D Sensor Algo and SW Team Bengaluru India Samsung Semiconductors India R and D Sensor Team Bengaluru India

ISBN: (纸本)9781665462631

Binary Sparse Matrix storage is one of the critical problems in embedded system applications. Storing these matrices in the memory efficiently is important. Magnitude of increase in matrix size also has significant impact on the memory requirement. Sometimes, it might not be possible to accommodate the data due to memory constraints. In this work, we have analyzed some of state-of-the-art methods deployed for storing these matrices in the system on-chip memory and we have demonstrated the shortcomings of each. Thus, we propose a modified version of run length encoding which scales aptly with matrix size and sparsity density of the binary sparse matrix. Through simulations we have shown that the proposed method performs better than many state-of-the-art algorithms. © 2023 ieee.

关键词： Embedded systems

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Distribution Network Digital Twin: a Basic Machine Learning based Voltage Estimator 14

Distribution Network Digital Twin: a Basic Machine Learning ...

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14th ieee international conference on Communications, Control, and computing Technologies for Smart Grids, SmartGridComm 2023

作者： Iaali, Mohamad El Razi, Reza Bruyere, Antoine Francois, Bruno Soares, Joao Univ. Lille Arts et Metiers Institute of Technology Centrale Lille Junia Ulr 2697 - L2EP LilleF-59000 France Gecad - Res. Group on Intelligent Engineering and Computing for Advanced Innovation and Development Lasi - Intelligent Systems Associate LAboratory Polytechnic of Porto Porto Portugal

ISBN: (纸本)9781665455541

The increasing integration of renewable energy sources, and the widespread use of electric vehicles have introduced greater complexity and dynamics in power flows in distribution systems. With bidirectional power flows enhancing the observability of the grid becomes essential to identify critical feeders. In this context, data-driven methods offer a promising approach to enhance situational awareness for power system operators and improve their understanding of the system behavior under variabilities. This paper proposes a voltage estimation method based on a Machine Learning algorithm to address this challenge. By leveraging data-driven techniques, the proposed method aims to provide accurate and efficient voltage estimations in distribution networks, contributing to the effective management and control of modern power systems. © 2023 ieee.

关键词： distributed power generation

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Energy Efficient Mechanism for Reusing Mobile Nodes in WSN and IoT Networks 17

Energy Efficient Mechanism for Reusing Mobile Nodes in WSN a...

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

作者： Temene, Natalie Sergiou, Charalampos Ioannou, Christiana Georgiou, Chryssis Vassiliou, Vasos Univ Cyprus Nicosia Cyprus CYENS Ctr Excellence Nicosia Cyprus

ISBN: (纸本)9781665439299

The operation of Internet of Things (IoT) networks and Wireless sensor Networks (WSN) is often disrupted by a number of problems, such as path disconnections, network segmentations, node faults, security attacks, etc. A method that gains momentum in resolving some of those issues is the use of mobile nodes or nodes deployed by mobile robots. The use of mobile elements essentially increases the resources and the capacity of the network. In this work, we propose a scheme that utilizes mobile nodes for the creation of alternative paths from source to sink by also accounting the energy levels of the nodes as a contributing factor regarding the creation of alternative paths. We offer both a high level description of the concept and also a detailed algorithmic solution. The evaluation of the solution was performed in a case study of resolving congestion in the network. Results have shown that the proposed algorithm can significantly contribute to the alleviation of the problem of congestion in IoT and WSNs and can easily be used for other types of network problems.

关键词： Internet of Things Wireless sensor Networks Mobility Reuse Energy Efficient Mobile Nodes

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