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检索条件"任意字段=5th IEEE International Conference on Distributed Computing in Sensor Systems"

共 5705 条记录，以下是81-90 订阅

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Enhanced Secure Communication in Wireless sensor Networks: Quantum Key Distribution with KIRSAN Gate 5

Enhanced Secure Communication in Wireless Sensor Networks: Q...

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5th international conference on Electronics and Sustainable Communication systems, ICESC 2024

作者： Manivannan, Kirankumar Vivekanandan, M. Saranya, G. Kumaran, K. School of Electronics Engineering Vellore Institute of Technology Chennai campus India School of Computer Science and Engineering Vellore Institute of Technology Chennai campus India

ISBN: (纸本)9798350379945

sensor nodes are integral to wireless sensor networks (WSNs) but their deployment across various locations exposes their communications to potential monitoring. Key challenges include message protection and node identification, necessitating efficient mechanisms for key distribution and management, especially in large-scale networks. Quantum cryptography, specifically quantum key distribution (QKD), offers a method to securely establish keys over short distances, leveraging principles like garbage output reduction and quantum communication for enhanced security. To address these issues, reversible logic gates, such as the newly developed © 2024 ieee.

关键词： Quantum cryptography

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9 in 10 cameras agree: Pedestrians in front possibly endangered 5

9 in 10 cameras agree: Pedestrians in front possibly endange...

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5th ieee/ACM international conference on Automation of Software Test (AST)

作者： Prikler, Liliana Marie Wotawa, Franz Graz Univ Technol Inst Software Technol Graz Styria Austria

ISBN: (纸本)9798400705885

Modern cyber-physical systems integrate data from many sensors as a regular part of their operations. Over the years, researchers have proposed methods ranging from statistical approaches to neural networks to achieve this sensor fusion, along with high-level paradigms such as early and late fusion. However, quality assurance of sensor fusion algorithms typically focuses on highlighting their accuracy or ability to reduce uncertainty under given conditions. this paper aims to establish a qualitative approach to testing sensor fusion. We formulate an answer set program based on desirable properties for sensor fusion and show how to apply it to test fusion algorithms. Our results indicate that our approach is effective at finding faults, but does not easily find minimal models for large inputs.

关键词： sensor fusion passive testing qualitative testing

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Proceedings - 2024 ieee 44th international conference on distributed computing systems, ICDCS 2024

Proceedings - 2024 IEEE 44th International Conference on Dis...

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44th ieee international conference on distributed computing systems, ICDCS 2024

ISBN: (纸本)9798350386059

the proceedings contain 151 papers. the topics discussed include: reducing first-frame delay of live streaming by simultaneously initializing window and rate;privacy-preserving finger movement tracking using acoustic sensing enhanced by smartphone case mini-structures;a performance analysis modeling framework for extended reality applications in edge-assisted wireless networks;LinuxFP: transparently accelerating Linux networking;edge-assisted relevance-aware perception dissemination in vehicular networks;CoCFL: a lightweight blockchain-based federated learning framework in IoT context;Hammer: a general blockchain evaluation framework;DNN partitioning and assignment for distributed inference in SGX empowered edge cloud;and towards integrated energy-communication-transportation hub: a base-station-centric design in 5G and beyond.

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distributed Data Sharing and Access Control in Industrial IoT Using Blockchain Technology 5

Distributed Data Sharing and Access Control in Industrial Io...

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5th international conference on Computer Engineering and Intelligent Control, ICCEIC 2024

作者： Li, Rui Sun, Yan Liu, Caiyun Wen, Ying Liu, Yitong Fujian Provincial Industrial and Information Industry Development Research Center Fujian Fuzhou China China Industrial Control Systems Cyber Emergency Reponse Team Beijing China

ISBN: (纸本)9798331507992

With the rapid development of the Industrial Internet of things (IIoT), secure and efficient data sharing has become crucial for enabling industrial automation and smart transformation. However, existing centralized solutions face limitations in scalability, latency, and data privacy. To address these challenges, this paper proposes a blockchain-based distributed data-sharing and access control system tailored for resource-constrained industrial edge networks. the system adopts a three-layer architecture that integrates edge computing and blockchain technology to provide decentralized, low-latency data management. A novel smart contract framework is introduced to enforce multi-level access control and support fine-grained permissions for intra-domain and cross-domain data sharing. Experimental results show the system's improved performance in data access efficiency and throughput, offering a robust solution for real-time, secure IIoT applications. © 2024 ieee.

关键词： Smart contract

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A Virtual Sink-based Strategy for Reducing the Funneling Effect in ieee 802.15.4 DSME Networks 18

A Virtual Sink-based Strategy for Reducing the Funneling Eff...

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18th Annual international conference on distributed computing in sensor systems (DCOSS)

作者： Gonzalez, Ivonne Andrea Mantilla Turau, Volker Hamburg Univ Technol Inst Telemat Hamburg Germany

ISBN: (纸本)9781665495127

the MAC protocol ieee 802.15.4 DSME has features for WSNs to support exigent requirements such as high reliability and adaptability to dynamic traffic. this work introduces the concept of a virtual sink, which comprises the sink and its 1-hop neighbors, a.k.a. satellites, as the core of a strategy to alleviate the burden caused by the funneling effect in data collection scenarios. Our strategy enables the coexistence of a centralized scheduling algorithm at the virtual sink and a decentralized scheduling algorithm for the remaining nodes of the network. through a simulative assessment, we compare the performance of the virtual sink-based strategy with the status quo of DSME via a decentralized slot scheduler TPS. Results show an improvement of the network throughput of up to 38% and a reduction of the energy consumption of about 30% at satellites.

关键词： Funneling effect ieee 802.15.4 DSME virtual sink heuristic scheduling algorithm.

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5th international conference on Advances in distributed computing and Machine Learning, ICADCML 2024

5th International Conference on Advances in Distributed Comp...

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5th international conference on Advances in distributed computing and Machine Learning, ICADCML 2024

ISBN: (纸本)9789819718405

the proceedings contain 35 papers. the special focus in this conference is on Advances in distributed computing and Machine Learning. the topics include: Computer-Aided Bundle Branch Block Detection Using Symbolic Features of ECG Signal;block-Chain and Cloud-Based Tender Allocation System;reliability Assessment of IoT-Enabled systems Using Fault Trees and Bayesian Networks;resnet-50 Integrated with Attention Mechanism for Remote Sensing Classification;revolutionizing Data Annotation with Convergence of Deep Learning and Active Learning to Enhance Credibility on Twitter Datasets;statistical and Deep-Learning Approaches for Individual Carbon Footprint Calculation in India;intelligent Healthcare System Using Emerging Technologies: A Comprehensive Survey;Efficient Energy Management by Using SJF Scheduling in Wireless sensor Network;cost Effective and Energy Efficient Drip Irrigation System for IoT Enabled Smart Agriculture;facial Detection and Recognition in Drone Imagery Using FaceNet;valluvan: Processing Name Board Images to Enhance Communication for Native Tamil Speakers;Optimized VM Migration for Energy and Cost Reduction Using TSO Algorithm in Cloud computing;A Study on the Mental Health Among Indian Population in the Post COVID-19 Pandemic Using Computational Intelligence;Cloud-Based Anomaly Detection for Broken Rail Track Using LSTM Autoencoders and Cross-modal Audio Analysis;Face Recognition Using CNN for Monitoring and Surveillance of Neurological Disorder Patients;a Novel Approach to Breast Cancer Histopathological Image Classification Using Cross-colour Space Feature Fusion and Quantum–Classical Stack Ensemble Method;comparative Analysis of Deep Learning-Based Hybrid Algorithms for Liver Disease Prediction;preface;performance Improvements of Covert Timing Channel Detection in the Era of Artificial Intelligence;sign Detection Using an N-Gram Language Model and MobileNet.

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5th international conference on Advances in distributed computing and Machine Learning, ICADCML 2024

5th International Conference on Advances in Distributed Comp...

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5th international conference on Advances in distributed computing and Machine Learning, ICADCML 2024

ISBN: (纸本)9789819735228

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Blockchain Technology Based Privacy Protection Scheme for Large-Scale distributed systems 5

Blockchain Technology Based Privacy Protection Scheme for La...

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5th international conference on Inventive Research in computing Applications, ICIRCA 2023

作者： Azath, H. Kumar, G. Sathish Menaka, M. thangaraj, S. John Justin School of Computer Science and Engineering Vit Bhopal University Madhya Pradesh Bhopal India Gojan School of Business and Technology Department of Information Technology Tamil Nadu Chennai India Kingston Engineering College Department of Information Technology Tamil Nadu Vellore India Department of Computer Science and Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798350321425

the cloud and mobile cloud deployment in large scale distributed systems offer excellent service that enhances both individual and organizational effectiveness. these cloud and blockchain based systems can provide resources at a very cheap cost since they are built on independent nodes except for any special centralized monitoring and controlling. As a result, the growth of mobile services and apps is unpredictable. Data-driven apps stand out among them in terms of popularities or revenue generation. However, the data-intensive applications have additional issues such as storage, big data filtering, and the critical tasks of securing confidential or sensitive data. In this study, a blockchain model using cloudlet concept is proposed. this model is then used in mobile cloud computing. the simulation of the proposed system is carried out in a mobile cloud computing simulator. According to the experimental analysis and latency result, the blockchain approach outperforms the conventional cloud models by up to 90% © 2023 ieee.

关键词： Blockchain

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Clustering by Improved PSO based Jaya Algorithm for Energy Optimization of Wireless sensor Networks 5

Clustering by Improved PSO based Jaya Algorithm for Energy O...

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5th ieee international conference on Electrical, Computer and Communication Technologies, ICECCT 2023

作者： Malarvizhi, P. Kavithaa, G. Computer Science and Engineering Knowledge Institute of Technology Salem India Electronics and Communication Engineering Government College of Engineering Salem India

ISBN: (纸本)9781665493604

In recent years, industries have automated processes which mean the amount of human participation has decreased, resulting in the Fourth Industrial Revolution. A highly distributed self-organizing system known as a Wireless sensor Networks is employed in so many control systems such as monitoring the surroundings, automate the reporting, and detecting the event. High bandwidth needs, high power consumption, security and quality of service delivery are some of the obstacles that wireless sensor networks must overcome. Each sensor node in a wireless sensor networks has a different power consumption rate based on the non-uniformity of event detection and the interspace between the sink node and sensor node. this shortens the lifespan of the network and causes an energy difference between the sensor nodes. Particle Swarm Optimization based Jaya algorithm (PSO-J) has been experimented to lower the power consumption of the sensor node by improving the selection of cluster head. the proposed algorithm provides better results than existing clustering algorithms. © 2023 ieee.

关键词： sensor nodes

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Modular Platform For Collaborative, distributed sensor Fusion 14

Modular Platform For Collaborative, Distributed Sensor Fusio...

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14th ACM/ieee international conference on Cyber-Physical systems (ICCPS) part of CPS-IoT Week

作者： Spencer, R. Zelter, Nate Hunt, David Angell, Kristen Pajic, Miroslav Duke Univ Durham NC 27706 USA

ISBN: (纸本)9798400700361

Leading autonomous vehicle (AV) platforms and testing infrastructures are, unfortunately, proprietary and closed-source. thus, it is difficult to evaluate how well safety-critical AVs perform and how safe they truly are. Similarly, few platforms exist for much-needed multi-agent analysis. To provide a starting point for analysis of sensor fusion and collaborative & distributed sensing, we design an accessible, modular sensing platform with AVstack [9]. We build collaborative and distributed camera-radar fusion algorithms and demonstrate an evaluation ecosystem of AV datasets, physics-based simulators, and hardware in the physical world. this three-part ecosystem enables testing next-generation configurations that are prohibitively challenging in existing development platforms.

关键词： Ecosystems

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