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检索条件"任意字段=Conference on Internet Quality and Performance and Control of Network Systems"

共 10533 条记录，以下是281-290 订阅

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Enabling Online Reinforcement Learning Training for Open RAN 23

Enabling Online Reinforcement Learning Training for Open RAN

引用

23rd International-Federation-for-Information-Processing (IFIP) networking conference (IFIP networking)

作者： Lacava, Andrea Pietrosanti, Tommaso Polese, Michele Cuomo, Francesca Melodia, Tommaso Northeastern Univ Inst Wireless Internet Things Boston MA 02115 USA Sapienza Univ Rome Rome Italy

ISBN: (纸本)9798350390605;9783903176638

The Open Radio Access network (RAN) architecture has introduced new elements in the RAN, i.e., the RAN Intelligent controllers (RICs), which allow for closed-loop control of the physical infrastructure through custom, data-driven, intelligent applications. At the near-real-time RIC, xApps access RAN nodes through the E2 interface and offer the option to host traditional algorithms or data-driven Deep Reinforcement Learning (DRL) agents to control and optimize RAN functionalities. The O-RAN specifications suggest that Artificial Intelligence (AI) model training should not be done on production RAN deployments to avoid network disruptions and degradation in the quality of Experience (QoE) of the User Equipments (UEs), suggesting the adoption of offline reinforcement learning. However, this approach limits the exploration phase during training to the static data that has already been collected, potentially affecting the performance of the model and its generalization capabilities. Therefore, a safe environment capable of supporting online reinforcement learning is needed to overcome such constraints and to allow AI agents to perform state explorations freely. In this paper, we present a new control environment based on Gymnasium (gym), a Python library for the creation of reinforcement learning environments, and ns-O-RAN, a software integration between a real-world near-real-time RIC and an network Simulator 3 (ns-3) simulated RAN, which exposes the RAN Key performance Indicators (KPIs) through a standardized Application Programming Interface (API) ready to be used by any solving approach. Leveraging ns-O-RAN, we create an environment that dynamically captures the simulated O-RAN telemetry, waits for the agent to compute a decision, receives and delivers such control action to update the RAN configuration in the underlying simulation, allowing the development and test of models in safe and reproducible conditions. Finally, our framework exposes an abstract API interfac

关键词： Open RAN ns-3 deep reinforcement learning artificial intelligence gymnasium

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Intelligent Auxiliary control System Interoperability Test Framework for Smart Substation with Communication Interference 4th

Intelligent Auxiliary Control System Interoperability Test F...

引用

4th International conference on Power and Electrical Engineering, ICPEE 2023

作者： Zhan, Xiaodong Feng, Fuyong Zheng, Ai Chang’an Communication Technology Co. Beijing China College of Computer Science and Cyber Security Chengdu University of Technology Chengdu China Smart Network Innovation Center China United Network Communications Limited Beijing China

ISBN: (纸本)9789819716739

At present, the intelligent auxiliary control system of smart substations lacks a unified and clear technical specification for entering the network, and the quality of products from various manufacturers varies, which adversely affects the operation and maintenance of smart substations. This paper proposes an interoperability test framework based on information simulation and considers the impact of perturbations caused by fluctuations in the substation communication network on the interoperability of the auxiliary control system. A schematic diagram of substation network communication interference is proposed. A network communication interference simulator can emulate false data interference (FDA), denial of service interference also known as network jamming interference (NJA), and device damage interference depending on the cause of the network simulation (DDA) for the test process. It carries out research on relevant function, performance, and protocol consistency test methods and develops a performance test system for the auxiliary control system of smart substations. The results show that the new test framework improves the interoperability of the Intelligent Auxiliary control System. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： control systems

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An Adaptation Scheme for 5G and EtherCAT Integration 13

An Adaptation Scheme for 5G and EtherCAT Integration

引用

13th IEEE International conference on CYBER Technology in Automation, control, and Intelligent systems, CYBER 2023

作者： Wu, Hanping Jiang, Lianxin Wang, Heng Chongqing University of Posts and Telecommunications Key Laboratory of Industrial Internet of Things and Networked Control Chongqing400065 China

ISBN: (纸本)9798350315196

The integration of 5G and industrial networks is an important direction in the Industrial internet of Things (IIoT). One of the most essential protocols in Industrial Ethernet is EtherCAT with efficient communication mechanism, diverse network topology, and low transmission latency. This paper proposes a protocol adaptation scheme between 5G networks and EtherCAT networks to ensure the quality of service of different EtherCAT service flow. Specifically, service flow sensing, service flow mapping, service flow re-encapsulation, and clock synchronization adaptation mechanisms are presented to achieve efficient adaptation. Also, the presented adaptation scheme is implemented on the open-air interface platform. The experimental results show that the proposed adaptation scheme can meet the quality of service of different EtherCAT service flow while achieving adaptation for 5G and EtherCAT integration. © 2023 IEEE.

关键词： quality of service

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Model Checking for Security Assurance in Cyber-Physical systems 5

Model Checking for Security Assurance in Cyber-Physical Syst...

引用

5th International conference on Emerging systems and Intelligent Computing, ESIC 2025

作者： Gopinathan, Mythili Easwaran, Nathipriya Raja, Pooja Poonkuzhali, Ramadoss K.S. Rangasamy College of Technology Tiruchengode India

ISBN: (纸本)9798331522100

The attacks BW-DDoS represent known onslaughts of packets forwarded by large numbers of participating websites that interfere with a valid stream of traffic through congested networks. While such attacks often rely on blunt force that is not even nearly so effective today they are nonetheless capable of a scale much greater than ever in terms of their attack potential, and far worse. When creating defenses against such malicious acts, it is crucial to use several defensive techniques at the same time in order to successfully counter these threats. The necessity for sophisticated defenses is highlighted by the growing threat posed by adversarial assaults and DDoS situations. BW-DDoS takes advantage of flaws in the internet's congestion control systems, like TCP and related protocols, which lower network utilization in reaction to packet loss and delays. Such attacks result in serious performance degradation;the server, network, or region can even fall down as a result of such an attack. Such attacks, in the past, were deployed to create gigantic failures in times of a calamity. This paper addresses BW-DDoS attack and protection strategies. Even if the brute-force methods used now are basic, they could become much more successful and harmful in the future. In order to counter these changing threats, the article examines both current defenses and possible new tactics. This summary offers useful information for anyone curious about BW-DDoS attacks and defense strategies. © 2025 IEEE.

关键词： network intrusion

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A Verilog-based Design for Real-Time Data Processing and control in Agricultural Fields using FPGAs 12

A Verilog-based Design for Real-Time Data Processing and Con...

引用

12th International conference on internet of Everything, Microwave, Embedded, Communication and networks, IEMECON 2024

作者： Kavya, Tangudu Abhiram, B. Megalingam, Rajesh Kannan Dept. of Electronics and Communication Amrita Vishwa Vidyapeetham Amritapuri India

ISBN: (纸本)9798350387315

Traditional agriculture faces challenges of resource inefficiency and environmental impact. This paper proposes a real-time precision farming system using Field-Programmable Gate Arrays (FPGAs) and Verilog-based Application-Specific Integrated Circuits (ASICs). The system leverages real-time sensor data (moisture, nutrients, environment) for precise control of resources like temperature, humidity, light, CO2, and dissolved oxygen. Verilog HDL programs FPGAs to implement control logic, dynamically adjusting these factors for optimal plant growth. Simulations confirm the effectiveness of three control modules: temperature/humidity, CO2/DO/EC, and light/moisture. A vast sensor network tracks crucial parameters (water quality, weather, soil composition) for data-driven insights. This empowers farmers with real-time monitoring and automated control, promoting sustainable and efficient resource management. The FPGA solution offers scalability, performance, and efficiency, revolutionizing agriculture practices. © 2024 IEEE.

关键词： Dissolved oxygen sensors

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Laboratory study: Human Interaction using Remote control System for Airport Safety Management 16

Laboratory study: Human Interaction using Remote Control Sys...

引用

16th International conference on quality of Multimedia Experience (QoMEX)

作者： Rafiei, Shirin Brunnstrom, Kjell Schenkman, Bo Andersson, Jonas Sjostrom, Marten RISE Res Inst Sweden Stockholm Sweden Mid Sweden Univ Dept Comp & Elect Engn Sundsvall Sweden KTH Royal Inst Technol Div Speech Mus & Hearing Stockholm Sweden

ISBN: (纸本)9798350361599;9798350361582

Remote control technology for machines and robots has experienced significant advancement in many domains where visual information delivery is essential. Safety management at airports is one field that benefits from remote control systems, enabling operators to scan the airstrip for obstacles and debris. Depth perception and proper view position are critical in remote control systems, where operators need to accurately perceive 3D coordinates and maintain an appropriate perspective for performing tasks from a distance. This Demo paper presents a laboratory platform for an experimental study on human interaction with remote control systems using visual interfaces for inspection tasks to enhance airport safety management. The platform can evaluate the user experience of interfaces provided by First Person View, Third Person View, and Augmentation technologies. This platform enables exploration through controlled experiments and by user tests. These provide an avenue for assessing how these interfaces may affect human performance, depth perception, and user experience when conducting inspection tasks remotely. The findings will shed light on the strengths and limitations of each interface type, offering insights into their potential applications in various domains such as industrial inspection, surveillance, and remote exploration.

关键词： Industrial Remote control System User Experience quality of Experience depth perception Augmented Reality viewpoint position Unmanned Ground Vehicle

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5G Campus network Deployment for Outdoor-to-Indoor Rescue Use Cases 7

5G Campus Network Deployment for Outdoor-to-Indoor Rescue Us...

引用

7th IEEE Pune Section International conference, PuneCon 2024

作者： Soukieh, Ayman Yaqot, Abdullah Leugner, Swen Hellbruck, Horst University of Applied Science CoSA Center of Excellence Departement of Electrical Engineering and Information Technology Luebeck Germany

ISBN: (纸本)9798331527822

The advent of 5G private networks enables diverse communication demands including emergency response services such as forest and people rescue. These campus networks can meet specific operational and security demands of stakeholders. Due to the sophistication of network deployment and application integration, this paper explains these procedures showcasing firefighting mission requisites. The development includes the hardware and software of network components, the integration of 5G components, and the integration of internet of Things devices with the network. The deployment has been preceded by a radio planning that assists finding the optimal location and orientation for the sector antenna in rescue context. The network deployment has been assessed by radio, throughput, and latency measurements to examine the network coverage quality, performance and reliability, respectively. The paper summarizes the challenges of outdoor-to-indoor propagation and proposes future solutions based on the state-of-the-art in the technology. © 2024 IEEE.

关键词： 5G mobile communication systems

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Smart-Sec: DL-based Cyber Threat Detection for Autonomous Smart Home System to Enhance Human Life Expectancy 10

Smart-Sec: DL-based Cyber Threat Detection for Autonomous Sm...

引用

10th IEEE International conference on Electronics, Computing and Communication Technologies (IEEE CONECCT)

作者： Jain, Naman Patel, Manas Ramoliya, Fenil Gupta, Rajesh Tanwar, Sudeep Garg, Deepak Nirma Univ Inst Technol Dept Comp Sci & Engn Ahmadabad Gujarat India SR Univ Sch Comp Sci & AI Warangal Telangana India

ISBN: (纸本)9798350385939;9798350385922

Autonomous Smart Home (ASH) systems incorporate various sensors and internet of Things (IoT) modules to automate and enhance residential functionality. ASH represents an IoT communication paradigm for decision-making, data analysis, task automation during triggered events, and remote accessibility. However, the connectivity of modules via wired and wireless channels can introduce cybersecurity challenges, including data privacy concerns, device tampering, network weaknesses, lack of standardization, and risks associated with firmware and software vulnerabilities. Cyber breaches in ASH can have catastrophic effects, such as unauthorized control of critical home, medical systems, emergency response interference, automated lock system failures, and critical home-appliance sabotage. To address this concern, we propose Smart-Sec, which leverages a deep learning-based Convolutional Neural network (CNN) architecture. The performance of Smart-Sec was evaluated using various optimization algorithms, accuracy comparison, loss depiction, confusion matrix, precision, recall, and F1-score. Among all algorithms, our one-dimensional CNN architecture performed well with the RMSProp optimizer.

关键词： Smart Home network Security CNN IoT DL

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Actor-Critic RL Approach to Stabilize Voltage in DC Microgrids for Linear, CPL, and PPL Load Profiles 14

Actor-Critic RL Approach to Stabilize Voltage in DC Microgri...

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14th IEEE International conference on Communication systems and network Technologies, CSNT 2025

作者： Maurya, Rinki Singh, Ashutosh Kumar Electronics & Communication Department IIIT Allahabad Prayagraj India

ISBN: (纸本)9798331531935

Voltage regulation is essential for stable and efficient operation in DC microgrids, especially under varying load conditions, including pulsed power loads (PPL) and constant power loads (CPL). Nonlinear and dynamic load profiles cause significant voltage fluctuations, challenging the performance of conventional control techniques. This paper introduces an Actor-Critic reinforcement learning (RL)-based approach combined with a Proportional-Integral (PI) controller to enhance voltage regulation in DC microgrids. The proposed method dynamically adjusts the duty cycle of DC-DC converters, minimizing voltage variations and ensuring smooth transitions. Simulation results, validated through MATLAB Simulink, demonstrate the superiority of the proposed method over traditional PI controllers. For PPL conditions, the approach achieves a 60% reduction in voltage dip, 50% faster recovery time, and improved damping. Under CPL scenarios, voltage variation is reduced by 57%, steady-state error decreases by 57%, and power quality is enhanced with stable performance. During additional PPL events, the voltage spike is reduced by 55%, settling time improves by 52%, and overall system stability is significantly enhanced. These findings highlight the robustness and adaptability of the proposed hybrid Actor-Critic RL framework in addressing the challenges posed by nonlinear and dynamic load variations in DC microgrids, offering a practical solution for real-world applications. © 2025 IEEE.

关键词： Proportional control systems

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2024 IEEE Global conference on Artificial Intelligence and internet of Things, GCAIoT 2024

2024 IEEE Global Conference on Artificial Intelligence and I...

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2024 IEEE Global conference on Artificial Intelligence and internet of Things, GCAIoT 2024

ISBN: (纸本)9798331529413

The proceedings contain 26 papers. The topics discussed include: tiny machine learning for real-time aquaculture monitoring: a case study in Morocco;a deep learning-based steganalysis model for color images using statistical texture features;a novel framework to safeguard inter-vehicular communication and privacy;a proposed maintenance 4.0 model for laboratory ventilation systems: an Industry 4.0 approach to air quality management;AeroNeuro-GlobalNet: leveraging LEO satellite constellations and 5G/6G networks for real-time emotional monitoring of transport operators;ai-driven anomaly detection framework for improving IoT system reliability;artificial neural network control of a bipedal robot using a bond graph model;and auction-based scheduling for efficient execution of stochastic tasks in diverse vehicular clouds with flexible time datacenter integration.

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