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

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performance Analysis of Multipath TCP Congestion control Algorithms 14

Performance Analysis of Multipath TCP Congestion Control Alg...

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

作者： Biswal, Subhra Priyadarshini Chatterjee, Akash Alanam, Khair Patel, Sanjeev Department of Computer Science and Engineering National Institute of Technology Rourkela Odisha 769008 India

ISBN: (纸本)9798331531935

In modern high-speed networks, providing reliable and high-quality internet services is essential. However, maintaining consistent network performance in dynamic environments with varying scenarios presents significant challenges. To address these, Multipath TCP (Transmission control Protocol) offers a viable solution by aggregating multiple network paths, resulting in improved bandwidth utilization, higher throughput, and reduced delay. This approach overcomes the limitations of traditional single-path TCP by enhancing responsiveness, friendliness, and reducing window oscillation. Moreover, MPTCP incorporates congestion control mechanisms that couple several subflows, ensuring efficient traffic distribution across multiple paths, thereby improving overall network performance and fairness. In this paper, we analyze the performance of LIA (Linked Increases Algorithm), OLIA (Opportunistic Linked Increases Algorithm), and BALIA (Balanced Linked Adaptation) congestion control algorithms using the ns-3 network simulator. The results show that BALIA achieves 21% higher throughput compared to LIA. © 2025 IEEE.

关键词： Transmission control protocol

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Using IoT Technology for the Skilled Crafts 24th

Using IoT Technology for the Skilled Crafts

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24th International conference on Enterprise Information systems (ICEIS)

作者： Pomp, Andre Burgdorf, Andreas Paulus, Alexander Meisen, Tobias Univ Wuppertal Chair Technol & Management Digital Transformat Wuppertal Germany

ISBN: (纸本)9783031393853;9783031393860

The internet of Things (IoT) is a rapidly growing technology that connects everyday objects to the internet, allowing them to send and receive data. This technology has the potential to revolutionize the way that craftsmen work, by providing them with access to real-time information and automation capabilities. For instance, devices that are equipped with sensors can transmit data about their usage and performance, providing craftsmen with valuable insights into their work. Moreover, IoT can also enable craftsmen to remotely monitor and control their tools and machines, increasing efficiency and productivity. In addition, IoT can help craftspeople to better manage their inventory and supply chain. By attaching sensors to raw materials and finished products, craftspeople can track the movement and status of their goods in real-time, improving the accuracy of their forecasts and reducing the risk of stock-outs. Thus, adopting the IoT technology has the potential to greatly enhance the capabilities of the skilled crafts, allowing them to work more efficiently and effectively, and to better serve the needs of their customers. The aim of the IoT4H project is to make IoT technology usable for craftsmen. For that, we develop a platform that helps craft businesses in exploring and implementing IoT solutions. The platform will help craftsmen to identify suitable IoT use cases and business models for their trades, provide an overview of required components, and allow them to set up use cases without technical expertise. It will also collect and manage data and allow craft businesses to share new use cases with other platform users. So far, the project has already identified many different IoT use cases for the skilled crafts sector, which are presented in this paper. In addition, initial platform architecture considerations have also been made based on these use cases and are presented in this paper. Overall, the results are intended to assist craft businesses from a wide ran

关键词： internet of things Semantic systems Engineering Usability Skilled crafts

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Joint Cooperation Clustering and Downlink Power control for Cell-Free Massive MIMO with Deep Reinforcement Learning 23

Joint Cooperation Clustering and Downlink Power Control for ...

引用

23rd IEEE International conference on Communication Technology, ICCT 2023

作者： Du, Mingjun Sun, Xinghua Zhang, Yue Wang, Junyuan Liu, Pei School of Electronics and Communication Engineering Sun Yat-sen University Shenzhen518107 China Shantou University Department of Electronic Information Engineering Shantou515063 China College of Electronic and Information Engineering Tongji University Shanghai201804 China School of Information Engineering Wuhan University of Technology Wuhan430070 China Nanjing University of Posts and Telecommunications Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing210003 China

ISBN: (纸本)9798350325959

Recently, numerous clustering and power control approaches have been developed to optimize network performance for cell-free massive multiple-input multiple-output (MIMO) systems. Notably, deep reinforcement learning (DRL) has emerged as a promising solution for network optimization. This paper investigates the joint cooperation clustering and downlink power control problem in cell-free massive MIMO, utilizing the deep deterministic policy gradient (DDPG) algorithm to maximize the long-term global average proportional fairness (PF). Our results demonstrate that the proposed DDPG method effectively outperforms the baselines in both clustering and power control. Furthermore, the proposed scheme exhibits robustness as it maintains superior performance even as the number of clusters varies. © 2023 IEEE.

关键词： cell-free massive MIMO clustering Deep reinforcement learning power control

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Learning Neural Contracting Dynamics: Extended Linearization and Global Guarantees 38

Learning Neural Contracting Dynamics: Extended Linearization...

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38th conference on Neural Information Processing systems, NeurIPS 2024

作者： Jaffe, Sean Davydov, Alexander Lapsekili, Deniz Singh, Ambuj K. Bullo, Francesco Center for Control Dynamical Systems and Computation University of California Santa Barbara United States Department of Computer Science University of California Santa Barbara United States

Global stability and robustness guarantees in learned dynamical systems are essential to ensure well-behavedness of the systems in the face of uncertainty. We present Extended Linearized Contracting Dynamics (ELCD), the first neural network-based dynamical system with global contractivity guarantees in arbitrary metrics. The key feature of ELCD is a parametrization of the extended linearization of the nonlinear vector field. In its most basic form, ELCD is guaranteed to be (i) globally exponentially stable, (ii) equilibrium contracting, and (iii) globally contracting with respect to some metric. To allow for contraction with respect to more general metrics in the data space, we train diffeomorphisms between the data space and a latent space and enforce contractivity in the latent space, which ensures global contractivity in the data space. We demonstrate the performance of ELCD on the high dimensional LASA, multi-link pendulum, and Rosenbrock datasets. © 2024 Neural information processing systems foundation. All rights reserved.

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Collaborative Decentralized Learning for Detecting Bearing Faults in Industrial internet of Things 29

Collaborative Decentralized Learning for Detecting Bearing F...

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29th IEEE Asia Pacific conference on Communications, APCC 2024

作者： Putra, Made Adi Paramartha Zainudin, Ahmad Sampedro, Gabriel Avelino Utami, Nengah Widya Kim, Dong-Seong Lee, Jae-Min Primakara University Faculty of Information Technology and Design Denpasar Indonesia Kumoh National Institute of Technology Department of Electronic Engineering Gumi Korea Republic of University of the Philippines Open University Faculty of Information and Communication Studies Laguna Philippines Kumoh National Institute of Technology Department of It Convergence Engineering Gumi Korea Republic of

ISBN: (纸本)9798331517816

An essential aspect of Industrial internet of Things (iioT) systems lies in their reliability and resilience against failures. Fault detection serves as a crucial method for mitigating errors, leading to reduced downtime. Previous studies have predominantly focused on fault detection using centralized Artificial Intelligence (AI) approaches, wherein participant information is centralized and forwarded to a central server. However, Federated Learning (FL) offers a solution to these issues, enhancing the system's reliability. In this study, we propose a Decentralized FL (DFL) approach for collaborative learning in bearing fault detection. DFL is preferred over centralized FL due to its elimination of a single point of failure. By leveraging the decentralized FL concept, the vulnerability of the collaborative framework to attacks can be minimized. Our proposed DFL integrates continual learning techniques to reduce communication overhead. The results demonstrate that decentralized collaborative learning achieves satisfactory performance, with an accuracy rate of 96.08% and a learning time reduction of up to 37.52%. © 2024 IEEE.

关键词： Federated learning

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Research on Real-time Monitoring System of Multi-scenario Health Data Based on internet of Things 3

Research on Real-time Monitoring System of Multi-scenario He...

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3rd International conference on Digital Society and Intelligent systems, DSInS 2023

作者： Wang, Hongyang Huo, Jiuyuan Hu, Jun Wang, Tingjuan School of Electronic and Information Engineering Lanzhou Jiaotong University Lanzhou730070 China Gansu YiWangKeJi Network Technology Co. LTD Lanzhou730070 China

ISBN: (纸本)9798350331387

para>With the continuous development of society and people's growing concern for health, health monitoring technology has become an important part of our lives. For this reason, this study designs and implements a multi-scene real-time health data monitoring system based on the internet of Things. The system adopts innovative technologies such as smart bracelet, Bluetooth gateway and message queue telemetry transfer (MQTT) to collect and transmit health data in real time. In addition, users can adjust the parameters of the data collection terminal through the remote control function. Through the web interface, users are able to conveniently view their health data in real time. The experimental results show that the data collected by this monitoring system has high accuracy, multi-scene adaptability and real-time performance. Meanwhile, the system is easy to operate and understand, providing users with a convenient experience. This will bring important technological innovation and practical application value to the field of health monitoring, providing people with more convenient and efficient health monitoring services. Future research directions can include optimising system performance, expanding application scenarios, etc., which will help promote the further development of health monitoring technology and protect people's health. © 2023 IEEE.

关键词： internet of things

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Resilient Robust Model Predictive control under Adaptive Event-Triggered Mechanism

Resilient Robust Model Predictive Control under Adaptive Eve...

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internet of Things, Automation and Artificial Intelligence (IoTAAI), International conference on

作者： Yanye Yu Huangju Li Jianhua Wang Min Zhou Jiawei Zuo School of Engineering Huzhou University Huzhou China Huzhou Key Laboratory of Intelligent Sensing and Optimal Control of Industrial Systems Huzhou China

ISBN: (数字)9798350386974

ISBN: (纸本)9798350386981

The problem of resilient robust model predictive control (RMPC) with hard constraints based on an adaptive event-triggered mechanism for a class of polytopic uncertain systems is investigated in this article. To reduce the burden of network communication, a novel adaptive event-triggering mechanism is introduced between the sensor and the controller (S/C) network. The objective of this paper is to design a resilient RMPC controller while considering the system performance degradation caused by the adaptive event-triggered mechanism, aiming to maintain high system performance while conserving communication resources. Moreover, by solving an online optimization problem, sufficient conditions are obtained to ensure that all states of the system are in the time-varying terminal constraint set. To conclusively validate the efficacy of the proposed resilient RMPC algorithm under the adaptive event-triggered mechanism, we adopt a specific distillation parameter example for illustration.

关键词： Uncertain systems Sufficient conditions Adaptive systems System performance systems architecture Prediction algorithms Stability analysis Resource management Time-varying systems Predictive control

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SDN Security on IT and OT networks: A Systematic Literature Review 1st

SDN Security on IT and OT Networks: A Systematic Literature ...

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1st International conference on Electrical systems and Smart Technologies, ICESST 2024

作者： Cadi, Abderrahmane Bahnasse, Ayoub Majdoul, Radouane Laboratory LCCPS ENSAM Hassan II University Casablanca Morocco Laboratory LISPS2 ENSAM Hassan II University Casablanca Morocco

ISBN: (纸本)9783031867040

The rapid evolution of Software-Defined networking (SDN) has significantly transformed the landscape of network management and configuration, particularly within Information Technology (IT) and Operations Technology (OT) environments. Despite these advancements, SDN introduces new security and privacy challenges that require further investigation. This systematic literature review (SLR) analyzes existing research from 2016 to 2024, focusing on the key security and privacy concerns in SDN, particularly across the data plane, control plane, and application plane. We categorize and evaluate the main threats, including unauthorized access, denial of service (DoS) attacks, and advanced persistent threats (APTs), while also reviewing proposed solutions such as encryption techniques, intrusion detection systems (IDS), and blockchain-based security frameworks. Our analysis highlights trends in the evolution of security solutions, revealing a shift from conventional methods such as basic encryption to more adaptive approaches that incorporate AI, machine learning, and quantum-safe protocols. This review also identifies gaps in the current body of research, particularly in the areas of SDN integration with emerging technologies such as the internet of Things (IoT), 5G, and edge computing. We conclude with recommendations for future research to address these challenges, including the need for standardized security protocols, advanced AI-driven threat detection, and secure, scalable frameworks for SDN in IT and OT networks. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Authentication

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Research on New Energy Protection Strategy Based on Zero-sequence Voltage and Current Balance Configuration 7

Research on New Energy Protection Strategy Based on Zero-seq...

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7th IEEE conference on Energy internet and Energy System Integration, EI2 2023

作者： Lin, Xia Wang, Zhenghao Hu, Taiyuan Li, Qiang Control Center Zaozhuang Power Supply Company Shandong Province Zaozhuang City China

ISBN: (纸本)9798350345094

At present, due to the continuous access of new energy, in particular, the penetration rate of distributed power supply to the grid continues to increase, a flexible and smooth contact interface is needed to complete the efficient absorption of new energy in peak scheduling. The establishment of the energy storage station is based on the smooth interface of the provincial power grid peak regulation means, so that the energy storage, distributed power supply and load can be regarded as a coupling unit, and the health of the coupling unit can be improved by improving the protection performance within the unit, so as to achieve a high degree of integration of the power grid. At the same time, by analyzing the distribution of ground points in the network and the value of the zero-sequence fault quantity of the grounding system, this paper gives the choice of different grounding modes on wind field and solar power field collector systems and the choice of system-side grounding modes. At the same time, through the analysis of power-frequency overvoltage level and the size of the zero-sequence voltage, is given of the selection principle of reclosing mode of new energy grid-connected power station, which has guiding significance for engineering application. © 2023 IEEE.

关键词： Electric grounding

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Priority-Considered Channel Access for Registration-Backoff-Time (RBT) -based IEEE 802.11ah IOT network 17

Priority-Considered Channel Access for Registration-Backoff-...

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IEEE Congress on Cybermatics: 17th IEEE International conference on internet of Things, iThings 2024, 20th IEEE International conference on Green Computing and Communications, GreenCom 2024, 17th IEEE International conference on Cyber, Physical and Social Computing, CPSCom 2024, 10th IEEE International conference on Smart Data, SmartData 2024

作者： Huang, Chung-Ming Chen, Chia-Hsiang Ma, Jianhua National Cheng Kung University Dept. of Computer Science and Information Engineering Tainan Taiwan Hosei University Faculty of Computer and Information Science Tokyo Japan

ISBN: (纸本)9798350351637

This work devises a High Priority Reservation - centric Registered Backoff Time -based (HPR-RBT) channel access method to enhance the performance of IEEE 802.11ah IoT network. The proposed HPR-RBT method allows the STAs that have high priority's uplinked data to reserve, which is through the claiming action, the privilege of channel access. HPR-RBT adopts the Trigger RAW mode of IEEE 802.11ah and the RBT mechanism. In HPR-RBT, the Restricted Access Window (RAW) of IEEE 802.11ah is divided into (1) a claiming RAW that contains multiple claiming slots and (2) a data RAW that contains multiple data slots. Each claiming slot is further divided into many tiny slots, each of which is for one STA to claim its channel access's reservation for its high priority's uplinked data. Each data slot is further divided into a scheduled sub-slot, in which the channel access of the high priority's uplinked data is scheduled, and an unscheduled sub-slot, in which the channel access of the regular priority's uplinked data is allowed. Furthermore, this work proposes a grouping mechanism to balance the load of high priority's uplinked data across RAW's data slots to prevent excessive high priority's uplinked data in any particular RAW's data slot. Through the grouping mechanism, the IEEE 802.11ah Access Point (AP) can assign the data slot that has the lowest load of high priority's uplinked data to a newly associated STA of the AP. Comparing with the legacy 802.11ah method, the experiment result shows that the proposed HPR-RBT method has (i) the shorter transmission latency and (ii) the better throughput when the number of STA becomes bigger. © 2024 IEEE.

关键词： internet of things

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