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Digital Twin Driven Blockchain Based Reliable and Efficient 6G Edge Network 18

Digital Twin Driven Blockchain Based Reliable and Efficient ...

引用

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

作者： Ozdogan, Mehmet Ozgen Carkacioglu, Levent Canberk, Berk Istanbul Tech Univ Dept Comp Engn Istanbul Turkey Istanbul Tech Univ Dept Artificial Intelligence & Data Engn Istanbul Turkey Aselsan Inc Ankara Turkey

ISBN: (纸本)9781665495127

With the rapid development of intelligent devices in wireless communication, the fifth generation (5G) mobile networks have limited high data rates, low latency, high availability demands. the sixth -generation (6G) mobile network can use Digital -twin (DT) techniques to meet these demands. DT is the virtual representation of physical aspects such as 6G edge nodes. DT optimize the 6G edge nodes parameters using artificial intelligence (AI) and especially machine learning (ML) algorithms. However, AI and ML bring along privacy and security concerns. therefore, user data must be protected from unauthorized persons during the 6G edge network recovery and expansion phases. In this paper, we proposed a new reliable Digital Twin -based 6G edge network recovery framework using Blockchain technology. We applied the Transfer Learning (TL) technique to improve our proposed framework's performance. We ensured data privacy and security using TL and Blockchain.

关键词： digital twin networks blockchain 6G edge recovery transfer learning knowledge sharing

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Research on the Integrated Algorithm of sensor Network in Water Environment Monitoring 6

Research on the Integrated Algorithm of Sensor Network in Wa...

引用

6th ieee international conference on Civil Aviation Safety and Information Technology, ICCASIT 2024

作者： Qian, Wang Shandong Yellow River Information Center Jinan250013 China

ISBN: (纸本)9798350389418

this paper presents a data video base station designed with an ARM-DSP dual-processor architecture for optimizing multi-source data processing and transmission in water environment monitoring. Addressing the challenges of high data flow and excessive energy consumption at nodes in water monitoring, this study integrates the PEGASIS (PowerEfficient Gathering in sensor Information systems) algorithm with a short-chain aggregation strategy to develop a highly efficient integration algorithm tailored for sensor networks. through system simulation, the proposed algorithm's effectiveness is demonstrated by comparing energy consumption and data transmission delays across various scenarios. the findings indicate that the algorithm excels in enhancing data transmission efficiency and minimizing energy consumption, particularly in complex water monitoring environments, thereby significantly extending the lifespan of sensor nodes. Furthermore, simulations under different processor architectures reveal that the collaborative functioning of the ARM-DSP dual processors can further refine the real-time capabilities of data processing and improve system response speed, offering both theoretical insights and practical foundations for integrated optimization in water environment monitoring systems. © 2024 ieee.

关键词： ARM-DSP dual processor data video base station PEGASIS algorithm short chain aggregation strategy Water environment monitoring

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Event-based sensor Fusion and Application on Odometry: A Survey 6

Event-based Sensor Fusion and Application on Odometry: A Sur...

引用

6th ieee international conference on Image Processing, Applications and systems, IPAS 2025

作者： Zhang, Jiaqiang Yu, Xianjia Sier, Ha Zhang, Haizhou Westerlund, Tomi University of Turku TIERS Lab Turku Finland

ISBN: (纸本)9798331506520

Event cameras, inspired by biological vision, are asynchronous sensors that detect changes in brightness. they offer notable advantages in environments characterized by high-speed motion, low lighting, or wide dynamic range. these distinctive properties render event cameras particularly effective for sensor fusion in robotics and computer vision, especially in enhancing traditional visual or LiDAR-inertial odometry. Conventional frame-based cameras suffer from limitations such as motion blur and drift, which can be mitigated by the continuous, low-latency data provided by event cameras. Similarly, LiDAR-based odometry encounters challenges related to the loss of geometric information in environments such as corridors. To address these limitations, unlike the existing event camera-related surveys, this survey presents a comprehensive overview of recent advancements in event-based sensor fusion for odometry applications particularly investigating fusion strategies that incorporate frame-based cameras, inertial measurement units, and LiDAR. the survey critically assesses the contributions of these fusion methods to improving odometry performance in complex environments, while highlighting key applications, and discussing the strengths, limitations, and unresolved challenges. Additionally, it offers insights into potential future research directions to advance event-based sensor fusion for next-generation odometry applications. © 2025 ieee.

关键词： Computer vision

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distributed Data-Driven Iterative Learning Control for Consensus Tracking of MASs against Deception Attacks 6

Distributed Data-Driven Iterative Learning Control for Conse...

引用

6th international conference on Electronic Engineering and Informatics, EEI 2024

作者： Zou, Runchang Li, Xuefang Huang, Deqing School of Intelligent Systems Engineering Sun Yat-Sen University shenzhen campus Shenzhen518000 China School of Electrical Engineering Southwest Jiaotong University Chengdu610031 China

ISBN: (纸本)9798350353594

In the paper, we study the problem of distributed model-free adaptive iterative learning control (DMFAILC) for multiagent systems (MAS) under deception attacks. Firstly, we introduce an improved dynamic linearization technology in iteration domain to establish an equivalent data model of MASs. then, an attacks compensation strategy is developed to mitigate the impact of deception attacks. Subsequently, a DMFAILC scheme is developed based on input and output of the system model. Moreover, the convergence of the consensus tracking error is proved using the contraction mapping method. Finally, a simulation result is provided to verify the effectiveness of the developed DMFAILC scheme. © 2024 ieee.

关键词： Adversarial machine learning

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Quantized Finite-Time H∞ Control of Fuzzy distributed Parameter CPSs 6

Quantized Finite-Time H∞ Control of Fuzzy Distributed Param...

引用

ieee 6th international conference on Industrial Cyber-Physical systems (ICPS)

作者： Li, Teng-Fei Park, Ju H. Foshan Univ Sch Mechatron Engn & Automat Foshan Peoples R China Yeungnam Univ Dept Elect Engn Gyongsan South Korea

ISBN: (纸本)9798350311259

In this article, the finite-time H-infinity control problem of nonlinear distributed parameter Cyber-Physical systems (CPSs) is studied. By employing the Takagi-Sugeno (T-S) fuzzy model, the nonlinear DPSs are described as a fuzzy parabolic partial differential equation (PDE). the state information is considered to be quantized by a kind of dynamic quantizers. then, a fuzzy state feedback controller is proposed. Based on the free-matrix inequality approach, sufficient design conditions for control gains and the quantizers' adjusting parameters are provided to obtain the boundness of the fuzzy closed-loop system in finite-time interval. Finally, a simulation study in a cascaded of two cylindrical lithium batteries is provided to illustrate the effectiveness of the proposed control strategy.

关键词： distributed parameter CPSs T-S fuzzy model Quantization Finite-time

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Enhancing Visual Inertial Odometry Performance using Deep Learning-based sensor Fusion 17

Enhancing Visual Inertial Odometry Performance using Deep Le...

引用

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： Doorshi, Raoof Saleem, Hajira Malekian, Reza Malmö University Department of Computer Science and Media Technology Malmö20506 Sweden Malmö University Internet of Things and People Research Centre Malmö20506 Sweden

ISBN: (纸本)9798350351637

Odometry estimation plays a key role in facilitating autonomous navigation systems. While significant consideration has been devoted to research on monocular odometry estimation, sensor fusion techniques for Stereo Visual Odometry (SVO) have been relatively neglected due to their demanding computational requirements, posing practical challenges. However, recent advancements in hardware, particularly the integration of CPUs with dedicated artificial intelligence units, have alleviated these concerns. In this paper, we investigate the efficacy of attention mechanisms and the incorporation of stereo input in comparison to monocular odometry, aiming to enhance the performance of SVO. We tested two different types of attention mechanisms, i.e., Triplet Attention (TA) and Convolutional Block Attention Module (CBAM), and their fusion in two stages Early and Late. Our results show that the fusion of the second camera improves the performance of the model, as well as early fusion with TA provided the best results. © 2024 ieee.

关键词： Deep learning

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Q-Learning-Based Traffic-Aware Parent Selection for Wireless Powered sensor Networks 6

Q-Learning-Based Traffic-Aware Parent Selection for Wireless...

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6th international conference on Artificial Intelligence in Information and Communication, ICAIIC 2024

作者： Lee, Sol-Bee Kwon, Jung-Hyok Kim, Eui-Jik Hallym University Division of Software Chuncheon Korea Republic of Hallym University Smart Computing Laboratory Chuncheon Korea Republic of

ISBN: (纸本)9798350344349

this paper presents a Q-learning-based traffic-Aware parent selection for wireless powered sensor networks (WPSNs), abbreviated QTaPS. the QTaPS employs Q-learning to independently select power and data parents, thereby improving the efficiency of energy harvesting and data transmission in WPSNs. To this end, QTaPS uses two Q-learning agents with different reward functions to select power and data parents, respectively. In order to consider the characteristics of each type of traffic, different metrics are used in each reward function. the simulation results showed that QTaPS obtained better performance than the existing scheme in terms of aggregate throughput and average end-To-end delay. © 2024 ieee.

关键词： Energy harvesting

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Smart distributed Parking System using Internet of things 6

Smart Distributed Parking System using Internet of Things

引用

6th international conference on Intelligent computing and Control systems, ICICCS 2022

作者： Leelipushpam Paulraj, Getzi Jeba Johnraja Jebadurai, Immanuel Khan, Pathan Firoz Sumanth, Neela Reddy, Kothapally Vishal Karunya Institute of Technology and Sciences Department of Computer Science and Engineering Coimbatore India

ISBN: (纸本)9781665410359

With the growth of cities and population, urban corporation faces potential challenges. One such challenge is regulating parking spaces. this become a tedious job during weekends and festival season. Improper regulation in parking spaces lead to traffic congestion and affects the fuel economy. Various parking solutions using sensor networks and image processing techniques have been proposed in literatures. For developing smart city environment, single parking space management is not sufficient and image processing based parking system can be applied only to large spaces. this paper proposes distributed parking management system. three parking slots have been created. the IR sensors capture the status of the space and communicate to the cloud. the user can also check the real time parking space availability in mobile application. Prototype has been developed and checked under various condition. the proposed solution provides parking space information on real time and improves fuel efficiency. © 2022 ieee.

关键词： sensor networks

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Micro Voltage sensor Based on Coupling of Electrostatic Force and Piezoresistive Effect 6

Micro Voltage Sensor Based on Coupling of Electrostatic Forc...

引用

6th international conference on Energy systems and Electrical Power, ICESEP 2024

作者： Qin, Si Zhou, Ke Jin, Qingren Mo, Zhiyue Electric Power Research Institute Guangxi Power Grid Co. Ltd. Nanning China

ISBN: (纸本)9798350353563

this paper proposes a miniature voltage sensor based on the coupling of electrostatic force and piezoresistive effect. the measurement principle involves a vibrating diaphragm that produces vertical displacement under the action of electrostatic force, causing deformation in the piezoresistive beam. the piezoresistive effect causes a change in the resistance of the piezoresistive beam due to deformation, and this change is monitored to measure the voltage. A finite element model was established to simulate the theoretical relationship of sensor output., and the device is fabricated using MEMS microfabrication technology. Tests on the sensor's output response characteristics indicate that when the voltage frequency range varies from 50Hz to 1500Hz, the sensor's sensitivity reaches up to 0.1417 mV/V, with nonlinearity error maintained below 1.31%the miniature voltage sensor designed in this paper has the advantage of not requiring additional driving structures or signals. Its output response characteristics align with theoretical analysis, demonstrating good linearity and sensitivity, making it highly promising for voltage sensing applications in smart grids. © 2024 ieee.

关键词： Electrostatic force

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Design and Development of Touch sensor-based Headlight and Mirror Controller for Automobiles 6

Design and Development of Touch Sensor-based Headlight and M...

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6th international conference on Mobile computing and Sustainable Informatics, ICMCSI 2025

作者： Vasuki, A. tharmaraj, R. Saruvardhan, K.S. Aakashpriyadharshan, M. Praveen, D. Department of ECE SRM Institute of Science and Technology Vadapalani Chennai India

ISBN: (数字)9798331522667

ISBN: (纸本)9798331522667

Modern cars frequently have manual regulators and switches for headlight and rearview mirror control, which can be difficult and distracting for drivers. this paper presents a more efficient alternative through the implementation of a touch- sensitive control system utilizing the ESP32 microcontroller. the device substitutes conventional controls with touch sensors to streamline the management of headlamp intensity and rearview mirrors. the technology rotates a stepper motor 20 degrees with a single touch to enhance headlight brightness, 40 degrees with a double touch for additional adjustment, and 60 degrees with a triple touch, facilitating precise control over the illumination. Furthermore, an additional touch sensor is employed to regulate servo motors that facilitate the automation of rearview mirror adjustment. A single touch activates the mirrors, while a double touch deactivates them, providing a more fluid experience. this touch-based technology offers drivers a safer and more intuitive method for controlling essential vehicle functions while simultaneously upgrading the car’s interface. this design employs readily available components and straightforward programming, making it both economical and scalable for future smart car applications. © 2025 ieee.

关键词： Stepping motors

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