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Optimal Dynamic Transmission Scheduling for Wireless networked control systems

IEEE TRANSACTIONS ON control systems TECHNOLOGY 2022年第6期30卷 2360-2376页

作者： Ma, Yehan Guo, Jianlin Wang, Yebin Chakrabarty, Ankush Ahn, Heejin Orlik, Philip Guan, Xinping Lu, Chenyang Washington Univ Comp Sci & Engn Dept St Louis MO 63130 USA Mitsubishi Elect Res Labs Cambridge MA 02139 USA Shanghai Jiao Tong Univ John Hoperoft Ctr Shanghai 200240 Peoples R China Univ British Columbia Dept Elect & Comp Engn Vancouver BC V6T 1Z4 Canada Univ British Columbia Dept Comp Sci Vancouver BC V6T 1Z4 Canada Shanghai Jiao Tong Univ Dept Automat Shanghai 200240 Peoples R China Washington Univ Dept Comp Sci & Engn St Louis MO 63130 USA

Wireless networked control systems (WNCSs) have the potential to revolutionize industrial automation in smart factories. Optimizing closed-loop performance while maintaining stability is a fundamental challenge in WNCS due to limited bandwidth and nondeterministic link quality of wireless networks. In order to bridge the gap between network design and control system performance, we propose an optimal dynamic transmission scheduling strategy that optimizes the performance of multiloop control systems by allocating network resources based on predictions of both link quality and control performance at run time. We formulate the optimal dynamic scheduling problem as a nonlinear integer programming problem, which is relaxed to a linear programming problem. We further extend the optimization problem to balance control performance and communication cost. The proposed optimal dynamic scheduling strategy renders the closed-loop system mean-square stable under mild assumptions. Its efficacy is demonstrated by simulating a four-loop control system over an IEEE 802.15.4 wireless network simulator--TOSSIM. The run-time network reconfiguration protocol tailored for optimal scheduling is designed and implemented on a real wireless network consisting of IEEE 802.15.4 devices. Hybrid simulations integrating a real wireless network and simulated physical plant control are performed. Simulation and experimental results show that the optimal dynamic scheduling can enhance control system performance and adapt to both constant and variable wireless interference and physical disturbance to the plant.

关键词： Wireless sensor networks Wireless networks IEEE 802 15 Standard Dynamic scheduling control systems Job shop scheduling Optimal scheduling Cyber-physical system dynamic scheduling industrial internet of Things wireless networked control system (WNCS)

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Analyzing User Satisfaction with Mobile internet Service Providers through Technical performance and User Experience Evaluation

Analyzing User Satisfaction with Mobile Internet Service Pro...

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2024 International Research conference on Smart Computing and systems Engineering, SCSE 2024

作者： Pothuwilage, Prasanga Hewa Dissanayaka, Pansujee Liyanage, Uditha Prabhath University of Moratuwa Faculty of Engineering Department of Mathematics Moratuwa Sri Lanka University of Kelaniya Faculty of Science Department of Statistics and Computer Science Kelaniya Sri Lanka

ISBN: (纸本)9798350375688

In today's digital era, the internet holds a fundamental position in daily life, particularly in Sri Lanka. This study addresses two primary objectives: first, to quantify the technical performance of internet services, and second, to assess customer satisfaction and its alignment with service provider performance. Conducted in the Narthanagala Grama Niladhari Division, specifically the 616C division in Horana, the study utilizes a structured questionnaire to gather customer experience data. Technical data are collected using the "Open Signal"and "network Cell Info"mobile applications. Statistical techniques are employed to achieve the objectives. Principal Component Analysis reduces the initial 9 dimensions of internet service quality to a singular dimension, with the primary principal component explaining 84.40% of variance. This reduction is validated through the composite index of "Application Based Technical performance of Mobile Data Service (AppBased_TecPerf)". Factor Analysis and simple linear regression unveil two influential latent factors: Customer-Perceived Technical performance of Mobile Data Service (Customer_TecPerf) and Customer Service Satisfaction (Customer_Service), collectively accounting for 60.66% of variability across six dimensions. These dimensions include Video quality Experience, Gaming Experience, Voice & Video quality Experience on Social Media Apps, Client Rating for internet Speed at Residence, Client Rating for Satisfaction with Price Fairness, and Client Rating for Customer Service quality. Reliability analysis confirms the effectiveness of these factors in measuring the Application Based Technical performance of Mobile Data Service. Regression analysis confirms that the index, AppBased_TecPerf, effectively captures Customer_TecPerf. © 2024 IEEE.

关键词： Factor analysis

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Process-Aware Intrusion Detection in MQTT networks 24

Process-Aware Intrusion Detection in MQTT Networks

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14th ACM conference on Data and Application Security and Privacy (ACM CODASPY)

作者： Empl, Philip Boehm, Fabian Pernul, Guenther Univ Regensburg Regensburg Bavaria Germany

ISBN: (纸本)9798400704215

Intrusion Detection systems (IDS) allow for detecting malicious activities in organizational networks and hosts. As the Industrial internet of Things (Industrial IoT) has gained momentum and attackers become process-aware, it elevates the focus on anomaly-based network Intrusion Detection systems (NIDS) in IoT. While previous research has primarily concentrated on fortifying SCADA systems with NIDS, keeping track of the latest advancements in resource-efficient messaging (e.g., MQTT, CoAP, and OPC-UA) is paramount. In our work, we straightforwardly derive IoT processes for NIDS using distributed tracing and process mining. We introduce a pioneering framework called MISSION which effectively captures, consolidates, and models MQTT flows, leading to a heightened process awareness in NIDS. Through our prototypical implementation, we demonstrate exceptional performance and high-quality models. Moreover, our experiments provide empirical evidence for rediscovering pre-defined processes and successfully detecting two distinct MQTT attacks in a simulated IoT network.

关键词： IDS MQTT internet of Things Distributed Tracing Process Mining

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Federated learning-based intrusion detection system for industrial internet of Things: enhancing security and efficiency 4

Federated learning-based intrusion detection system for indu...

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4th International conference on network Communication and Information Security, ICNCIS 2024

作者： Sun, Yan Liu, Caiyun Weng, Ying Liu, Yitong China Industrial Control Systems Cyber Emergency Reponse Team Beijing100040 China

ISBN: (数字)9781510688261

ISBN: (纸本)9781510688254

As the Industrial internet of Things (IIoT) rapidly evolves, cybersecurity issues have become increasingly prominent. Traditional centralized intrusion detection methods face significant challenges, including privacy, security, and computational resource limitations with large-scale heterogeneous data. This paper proposes a federated learning-based intrusion detection method, combining Convolutional Neural networks (CNN) and Gated Recurrent Units (GRU) with Isolation Trees for anomaly detection and removal. This approach addresses the non-independent and identically distributed (non-IID) data in IIoT and provides personalized local model training. Experimental results show that the proposed method significantly improves intrusion detection accuracy and real-time performance. © 2025 SPIE.

关键词： Federated learning

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Lightweight Authentication and Key Establishment Scheme for Cloud-network-End Integrated System

Lightweight Authentication and Key Establishment Scheme for ...

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International conference on Future Communications and networks (FCN)

作者： Tian, Chuang Zhang, Junwei Li, Teng Ma, Zhuo Shen, Yulong Ma, Jianfeng Xidian Univ Sch Cyber Engn Xian Peoples R China Xidian Univ Sch Comp Sci & Technol Xian Peoples R China

ISBN: (纸本)9798350396041;9798350396034

The cloud-network-end integrated system is the inevitable result of integrating cloud-based internet of Things (IoT) systems and new-generation network communication architectures. It can achieve wide-area coverage to enable efficient control and secure communication between various manned/unmanned end systems. For example, as a typical application in such systems, cloud-based Unmanned aerial vehicles (UAVs) surpass the payload limitations of traditional unmanned end systems by leveraging the computing and storage capabilities of cloud servers. This enables a significant enhancement in the diversity and complexity of various types of manned/unmanned end systems, leading to promising development prospects. In particular, the establishment and development of the space-air-ground integrated network (SAGIN) has greatly expanded and improved the communication range and quality between end systems. With a control paradigm centered on cloud servers, it can effectively meet the control requirements of various end systems in all areas and at all times. And further achieve secure data sharing among multiple end systems, as well as secure collaboration between multiple end systems. This paper proposes two lightweight authentication and key establishment (AKE) protocols for two typical scenarios of cloud-network-end integration systems to ensure secure communication between end systems based on SM2. We briefly analyze the correctness of our schemes and conduct a basic performance analysis. The results show that our schemes are reliable, effective, and very suitable for use in cloud-network integrated systems.

关键词： Cloud-network-End Integrated System Authentication and Key Establishment Protocol SM2

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A Systematic Study and Detailed performance Assessment of SDN controllers Across a Wide Range of network Architectures 6th

A Systematic Study and Detailed Performance Assessment of SD...

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6th International conference on Soft Computing and Signal Processing, ICSCSP 2023

作者： Sujatha, V. Prabakeran, S. Department of Networking and Communication SRMIST Kattankulathur Chennai India

ISBN: (纸本)9789819984503

internet access is the primary motivating factor behind the revolutionary modern digital era. Almost everything is connected to the internet because of the internet of Things (IoT) concept. However, because typical IP networks have a close relationship between the data plane and the control plane, managing and configuring the network are extremely time-consuming and expensive to compute. Software-defined networking (SDN) has been recommended as a conceptual shift toward a perceived and functionally unified network control plane that will decrease the complexity of network administration. SDN makes it possible to program the network’s configuration and divides the data plane from the control plane. In the control plane, the controller supervises all data plane operations as its primary component. Therefore, for optimal performance, the controller’s performance and capabilities are crucial. The literature contains several controller designs for both broad and narrow networks have been proposed. Yet, there is just a little amount of thorough quantitative examination of them. In this article, a comprehensive qualitative comparison of various SDN controllers and a quantitative analysis of their performance in a variety of network scenarios are presented. We classify and categorize controllers, then compare them qualitatively. Several types of network controllers are compared and contrasted, including those used in IoT, blockchain, vehicle, and wireless sensor networks. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： controllers

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network Based control systems for Six Axis Robot System 8

Network Based Control Systems for Six Axis Robot System

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8th IEEE International conference on Computing, Communication, control and Automation, ICCUBEA 2024

作者： Nikam, Ajit Argade, Sachin Kole, Dipak Nimbokar, Prajwal Jspm Rajarshi Shahu College Of Engineering Pune India

ISBN: (纸本)9798350391770

Principal network traffic in network-based control systems (NBCS) is driven by plant Sensor-controller-Actuator nodes operating in closed-loop. The performance provided by an NBCS's quality-of-control (QoC), and Every closed-loop operation is dependent on both the message scheduling method and the controller *** this paper, We discuss the problem of NBCS afterwards we describe the token ring scheduling algorithm solution ,sampling algorithm calculation and the simulation results. © 2024 IEEE.

关键词： Closed loop control systems

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Revolutionizing Indoor Air quality: An Intelligent IoT Solution for Pollution Detection 5

Revolutionizing Indoor Air Quality: An Intelligent IoT Solut...

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5th International conference on High performance Big Data and Intelligent systems, HDIS 2023

作者： Hong, Weiqi Moussa, Karim H. School of Internet of Things Xi’an Jiaotong-liverpool University Suzhou China

ISBN: (纸本)9798350394160

Indoor air pollution is a persistent and significant issue with detrimental effects on human health, including respiratory problems, allergies, carcinogenic risks, and impacts on the nervous and cardiovascular systems. The presence of harmful gases resulting from human activities further exacerbates these health concerns, leading to reduced productivity, increased morbidity, and economic losses. This paper aims to address the current challenges of indoor air pollution by proposing a practical internet of Things (IoT)-based online monitoring system. The system comprises three key components: (1) the design and implementation of sensor-based data collection for indoor air quality using Raspberry Pi, (2) the development of network protocols and data storage utilizing the Ali cloud platform, and (3) the creation of user-friendly web visualization and UI design. By integrating IoT technology, the poposed air quality control system can achieve enhanced intelligence and performance, making it a valuable tool for improving indoor air quality. ©2023 IEEE.

关键词： Digital storage

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Introspective Congestion control for Consistent High performance 25

Introspective Congestion Control for Consistent High Perform...

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20th European conference on Computer systems-EuroSys

作者： Jiang, Wanchun Li, Haoyang Wu, Jia Wang, Kai Ren, Fengyuan Wang, Jianxin Cent South Univ Changsha Peoples R China Tsinghua Univ Beijing Peoples R China

ISBN: (纸本)9798400711961

The congestion control (CC) algorithm is expected to achieve consistent high performance under different network environments. Traditionally, classic CCs are designed with the methodology of inferring path conditions to guide the rate adjustment. However, this methodology suffers from wrong path condition inferences in certain cases, which mislead the rate adjustment and lead to performance degradation. To avoid wrong path condition inferences, we develop the projection-based introspective method and design the introspective congestion control (ICC) algorithm in this paper. Specifically, the rate adjustment rules are designed to possess a specialized profile such that the projection of the profile can be distinguished under unchanged path conditions. In this way, the projection, which can be distinguished from the time series of delay signals in the frequency domain, facilitates ICC to extract more information for path condition inferences. Consequently, with the introspection on the projection, ICC can avoid being misled by wrong path condition inferences and thus achieve consistent high performance under different conditions. The advantages of ICC are confirmed through extensive experiments conducted on various locally emulated scenarios, global testbeds over the internet, and the Alipay platform.

关键词： Congestion control Consistent High performance Path Condition Inferences Introspective internet

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performance Analysis of Deep Learning's CNN Architectures for internet of Vehicles Classification 1

Performance Analysis of Deep Learning's CNN Architectures fo...

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1st International conference on Smart Energy systems and Artificial Intelligence (SESAI)

作者： Iyavoo, Amaren Armoogum, Vinaye Sunhaloo, Sameer Univ Technol Mauritius Sch Innovat Technol & Engn Port Louis Mauritius

ISBN: (纸本)9798350349696;9798350349689

The World Health Organization estimates that road accident fatalities reached about 1.19 million in 2021 and keep increasing yearly, with about 90% due to human errors. Artificial intelligence can elevate the environmental awareness of drivers and reduce human errors. With the ever-evolving field of deep learning, this study aims to compare the accuracy and effectiveness along with the computational capabilities of the seventeen most popular convolutional neural network architectures from AlexNet, published in 2012, to MaxVit in 2022, for an image binary classification problem. This study aims to be a foundation for future research on computer vision applications in the internet of Vehicles domain in various ways, such as the effectiveness of transfer learning and the behaviour of CNN models on low-quality images. A total of sixty-seven models were trained with and without pre-trained weights, and the performance and computational metrics of each hundred and thirty-four models were measured. Among the chosen models, it was observed that the DenseNet model emerged as the most effective and efficient model, with a training time of 11.8 minutes, predictive accuracy of 100%, memory footprint of 26.53 MB and GPU utilisation of 4.1 GB.

关键词： IoT IoV Convolutional Neural network Deep Learning Transfer Learning

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