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

共 30763 条记录，以下是91-100 订阅

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A Hybrid Framework for Secure Group Communication Using Quantum-Classical Cryptography and Reinforcement Learning 3

A Hybrid Framework for Secure Group Communication Using Quan...

引用

3rd international conference on Intelligent systems, Advanced computing, and Communication, ISACC 2025

作者： Renisha, P.S. Rudra, Bhawana National Institute of Technology Department of Information Technology Karnataka Surathkal India

ISBN: (纸本)9798331523893

This research work describes a framework for secured and effective way of group interaction incorporating classical cryptography and quantum communication technique. This framework employs a classical cryptographic methods for group logistics like as transmitting of messages and membership management while employing quantum communication strategy for secure key distribution and related authentication. In order to increase the flexibility and data-security of the proposed system further, a supervisor learning based mechanism is incorporated into the framework where reinforcement learning will employed in controlling the interaction of the protocols and the decision-making processes in an active manner. This combination of classical, quantum and supervisor learning strategies gives a solution to the issues of scalability, efficiency, effective and timely actionable response to increasing cyber threats especially in the era of quantum computing. The framework is highly effective and secured for group interaction in distributed network infrastructures. It will be a leading the approach for advanced cryptographic mechanism in the future. © 2025 ieee.

关键词： authentication classical cryptography distributed systems hybrid framework key distribution machine learning quantum communication quantum computing reinforcement learning secure group communication

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Proceedings - 25th ieee international conference on distributed computing systems

Proceedings - 25th IEEE International Conference on Distribu...

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25th ieee international conference on distributed computing systems

The proceedings contain 75 papers from the 25th ieee international conference on distributed computing. The topics discussed include: MNP: multihop network reprogramming service for sensor networks;the impossibility of boosting distributed service resilience;adaptive collaboration in peer-to-peer systems;topk queries across multiple private databases;network-centric buffer cache organization;adaptive counting networks;robust information dissemination in uncooperative environments;a spatiotemporal query service for mobile users in sensor networks;timer interaction in route flap damping;on flow marketing attacks in wireless anonymous communication networks;and semi-probabilistic content-based publish-subscribe.

关键词： distributed computer systems

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2009 29th ieee international conference on distributed computing systems Workshops, ICDCS, 09

2009 29th IEEE International Conference on Distributed Compu...

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2009 29th ieee international conference on distributed computing systems Workshops, ICDCS, 09

作者： Lou, Wei

ISBN: (纸本)9780769536606

The proceedings contain 74 papers. The topics discussed include: joint sleep scheduling and mode assignment in wireless cyber-physical systems;a cluster-based protocol to enforce integrity and preserve privacy in data aggregation;adaptive data replication for load sharing in a sensor data center;automatic mobile vehicle for adaptive real-time communication relay;embedded virtual machines for robust wireless control systems;energy-optimal grid-based clustering in wireless microsensor networks;a straightforward path routing in wireless ad hoc sensor networks;a geometric routing protocol in disruption tolerant network;design and performance evaluation of a service-oriented robotics application;addressing collaborative attacks and defense in ad hoc wireless networks;and intrusion detection in wireless mesh networks using a hybrid approach.

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Application and Evaluation of Real-Time Analysis Algorithms in Dynamic Data Processing systems

Application and Evaluation of Real-Time Analysis Algorithms ...

引用

Integrated Circuits and Communication systems (ICICACS), ieee international conference on

作者： Si Chen College of Digital Business Liaoning Vocational University of Technology Jinzhou Liaoning China

ISBN: (数字)9798331508456

ISBN: (纸本)9798331508463

Dynamic data processing systems are key technologies in modern data-driven applications, widely used in fields such as the Internet of Things, finance and healthcare. This study explores the application and evaluation of real-time analytical algorithms for dynamic data processing. An efficient algorithmic framework combining adaptive windowing, incremental learning and distributed computing is proposed to achieve low-latency and high-accuracy decision-making capabilities. Through experimental validation in a real data streaming environment, the results show that the proposed algorithm significantly outperforms traditional algorithms with about 35% reduction in latency and 20% improvement in prediction accuracy. The research results in this paper show that the real-time analysis algorithm has a promising application in dealing with dynamic heterogeneous data streams. Meanwhile, the article also discusses the limitations and future optimisation directions of the method, which provides a reference for further research in related fields.

关键词： Performance evaluation Incremental learning Accuracy Heuristic algorithms Data processing Prediction algorithms Real-time systems Low latency communication distributed computing Streams

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Foundations of Smart Healthcare: Emerging IoT Technologies in Wireless sensor Networks

Foundations of Smart Healthcare: Emerging IoT Technologies i...

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2025 international conference on Intelligent Control, computing and Communications, IC3 2025

作者： Nisha, B. Mohamed, Hassan Devadasu, G. Punitha, M. Poomani Alias Sandeep, Kandula Karthikeyan, T. Saveetha Medical College and Hospital Saveetha Institute of Medical and Technical Sciences Saveetha University Tamil Nadu Chennai India College of Technical Engineering The Islamic University Department of Computers Techniques Engineering Najaf Iraq Cmr College of Engineering & Technology Department of Eee Telangana Hydrabad India Sethu Institute of Technology Department of Information Technology Pulloor Tamil Nadu Kariapatti626115 India Gokaraju Rangaraju Institute of Engineering and Technology Department of Information Technology Telangana Hyderabad India Sona College of Technology Biomedical Engineering Tamilnadu Salem India

ISBN: (纸本)9798331527495

The study examines the relationship between new technologies and healthcare, with a particular emphasis on how WSNs, or wireless sensor networks, and the World of Things (IoT) work together to create smart healthcare systems. The introduction emphasises the need for creative healthcare solutions by highlighting the growth in life expectancy throughout the world and the resulting issues created by an ageing society. The literature study explores WSN-based communication technologies for healthcare, including standards and technology for both Low Power Wide-Area Networks (LP-WAN) and Low Rate Wireless Small Area Networks. Security and privacy issues in smart healthcare are also covered. The section on the suggested methodology describes the latest advancements and applications in smart healthcare, with a focus on application domains, system architectures, and the function of crowd and crowdsensing in these applications. There is discussion of the technical obstacles in intelligent health care design as well as the issues in crowdsourcing and crowdsensing. The discussion part outlines the essential elements of a successful smart healthcare system, such as energy-efficient equipment, secure communication channels, bandwidth, and Quality of Services (QoS) support. The conclusion emphasises how crucial it is to embrace technological innovations in order to reorganise healthcare systems while also recognising the need of resolving current issues, especially with regard to communication standards that deal with integrity, servicing, dependability, silence, and security. In order to improve early sickness identification and individualised treatment, the study promotes a preventative-focused healthcare approach that makes use of IoT technology, complex algorithms, and artificial intelligence © 2025 ieee.

关键词： Patient treatment

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Integrated Preconcentrator-Enhanced Gas sensor for Low Power Detection of Low Concentration Toluene

Integrated Preconcentrator-Enhanced Gas Sensor for Low Power...

引用

ieee international conference on Micro Electro Mechanical systems

作者： Jeonghyeop Son Hee-Jin Ko Jaebum Jeong Jun Young Kim Jongbaeg Kim School of Mechanical Engineering Yonsei University Seoul Republic of Korea Department of Semiconductor Engineering Gyeongsang National University Jinju Republic of Korea

ISBN: (数字)9798331508890

ISBN: (纸本)9798331508906

This paper presents a miniaturized semiconductor toluene gas sensor with an integrated diffusion-based preconcentrator. The proposed design, featuring a micro-scale integrated and suspended structure, enhances gas detection performance while maintaining low power consumption. Experimental results demonstrated improved sensitivity for toluene detection using pulse-actuation of a microheater. The device eliminates the need for a separate preconcentrator unit, along with any additional structures for pumping or gas flow restriction. The sensor achieves an average power consumption of only 3.26 mW for the microheater, making it suitable for distributed detection of volatile organic compounds (VOCs) at concentrations as low as 50 ppb.

关键词： Volatile organic compounds Performance evaluation Power demand Sensitivity Fluid flow Energy efficiency sensors Safety Gas detectors Optimization

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Cloud-Based AI Robotics for Precision Pruning of Fruit Trees to Improve Sustainable Farming 3

Cloud-Based AI Robotics for Precision Pruning of Fruit Trees...

引用

3rd international conference on Intelligent systems, Advanced computing, and Communication, ISACC 2025

作者： Ilambirai, R.C. Barkathulla, A. Mahalakshmi, G. Babu, J. Jagan Prabu, K. Srinivasan, C. SRM Institute of Science and Technology Department of Electrical and Electronics Engineering Tamil Nadu Chennai India Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology School of Computing Department of Computer Science and Engineering Tamil Nadu Chennai India Chennai Institute of Technology Department of Computer Science and Engineering Tamil Nadu Chennai India R.M.D Engineering College Department of Electronics and Communication Engineering Tamil Nadu Chennai India Gojan School of Business and Technology Department of Electronics and Communication Engineering Tamil Nadu Chennai India Saveetha University Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Department of Computer Science and Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798331523893

The crucial agricultural practice of precision pruning fruit trees greatly impacts fruit production yield and quality. Traditional pruning techniques take a lot of time and money because they need skilled workers and are labor-intensive. It suggests a novel cloud-based AI robotics system intended to precisely prune fruit trees to address these issues. This system uses cutting-edge robotics fitted with Convolutional Neural Networks (CNNs) to carry out precise and effective tasks related to pruning. Cloud computing integration makes it possible to process and make real-time decisions, improving the system's flexibility in responding to changing tree conditions and pruning needs. The system's primary parts are robotic arms for accurate cuts, various sensors for analyzing tree structures, and CNN models for maximizing pruning techniques. Early field trials show noticeable gains in operational efficiency and pruning accuracy compared to conventional techniques. This study demonstrates how cloud-integrated AI robotics can transform agricultural practices and improve fruit farming's sustainability and productivity. © 2025 ieee.

关键词： Agricultural Automation Fruit Trees Real-Time Data Processing sensor Integration Sustainable Farming

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Proceedings: The 23rd ieee international conference on distributed computing systems

Proceedings: The 23rd IEEE International Conference on Distr...

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23th ieee international conference on distributed computing systems

The proceedings contains 75 papers. Topics discussed include self-stabilizing systems, sensor networks and energy management, peer to peer services, distributed algorithms, multimedia streaming, secure data sharing, quality of service, internet protocols, middleware communication services, fault tolerant systems, ubiquitous computing, network security, real time systems, web servers, middleware and interoperability, formal methods, Ad hoc network protocols, peer to peer infrastructure, synchronization, wide area distributed computing, mobile agents, program/software analysis, wireless access control and scalable data services.

关键词： distributed computer systems

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The 24th ieee international conference on distributed computing systems workshops

The 24th IEEE international conference on distributed comput...

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Proceedings - 24th international conference on distributed computing systems Workshops

The proceedings contains 136 papers from the The 24th ieee international conference on distributed computing systems Workshops. The topics discussed include: automatic group protocol for distributed systems;a new media access control protocol for simple hop WDM networks;distributed index updating method for intranet information retrieval;an agent-based consumer recommendation mechanism;pocket SCORM;a general architecture for wireless sensor networks: first steps;log-structured storage for efficient weakly-connected replication and autonomous and proactive adjustment of update allowance in autonomous decentralized database system.

关键词： distributed computer systems

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A Hybrid PSO and K-Means Clustering Approach for Enhanced sensor Localization in WSNs 3

A Hybrid PSO and K-Means Clustering Approach for Enhanced Se...

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3rd international conference on Intelligent systems, Advanced computing, and Communication, ISACC 2025

作者： Singh, Ningombam Hemarjit Manna, Prithwish Majumder, Sudipta Bose, Rajesh Dibrugarh University Dept. of CSE Dibrugarh India JIS University Dept. of CSE West Bengal India

ISBN: (纸本)9798331523893

In Wireless sensor Networks (WSNs), correct sensor location is crucial for optimal data collection and transmission. This work introduces an improved methodology for sensor placement that integrates Particle Swarm Optimisation (PSO) with K-Means clustering to boost the efficacy of RSSI-based localisation. To measure the distance between sensors, researchers commonly employ the Received Signal Strength Indicator (RSSI);nevertheless, errors may be introduced by outside variables including interference and signal attenuation. To tackle these problems, we present a hybrid approach whereby Particle Swarm Optimisation (PSO) is employed for the global optimisation of sensor placements, while K-Means clustering enhances the sensor aggregation based on proximity and Received Signal Strength Indicator (RSSI) signal intensity. The suggested technique reduces localisation errors by optimising sensor placement and classifying nodes into suitable clusters. Experimental findings indicate that the hybrid PSO-K-Means method markedly improves positioning accuracy relative to conventional localisation strategies. The results indicate that combining PSO with K-Means clustering is an efficient approach for enhancing sensor localisation for the considered performance criteria. © 2025 ieee.

关键词： K-Means Clustering Particle Swarm Optimization (PSO) RSSI-Based Localization Wireless sensor Networks (WSNs)

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