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检索条件"任意字段=IEEE International Conference on Mobile Adhoc and Sensor Systems"

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A Hybrid Deep Learning Models: Optimization for Forecasting Wireless 6G IoT Network 1

A Hybrid Deep Learning Models: Optimization for Forecasting ...

引用

1st international conference on Advances in Computer Science, Electrical, Electronics, and Communication Technologies, CE2CT 2025

作者： Singh, B.P. Venkadeshwaran, Kuthalingam Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India Faculty of Engineering and Technology Department of Mechanical Engineering Karnataka Ramnagar District India

ISBN: (纸本)9798331518578

New specifications for 6G mobile networks will surpass the performance targets of 5G networks. As more 5G networks are deployed, their limits become obvious, encouraging the exploration of networks using 6G as the future solution. This paper covers 6G technology's core privacy and security concerns. Monitoring real-time structures need secured wireless sensor networks (WSNs). Denial of service (DoS) outbreaks increase secure risks for WSNs and potentially undermine the whole system. This study presents a new approach to control and optimize the security of 6G wireless networks based on blockchain technology by means of a machine learning method. Utilizing a blockchain users datagram transit protocol in conjunction with reinforcement projection regression, this research manages security of organized 6G wireless sensor net. The network is then optimized via artificially democratized cuckoo glowworm remora optimizations. Numerous network characteristics pertaining to accuracy, end-to-end latency, packet delivery ratio, energy efficiency, and throughput have formed the basis of the simulation findings. Reduced network traffic may be achieved by figuring out which node and route are best for data transfer. 98% of Throughput, energy effectiveness of 96%, 97% accuracy, end to end latency of 51%, and packet delivery ratio of 95% were all achieved by the suggested method. © 2025 ieee.

关键词： 5G mobile communication systems

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sensor Placement Based on Cellular Communication systems

Sensor Placement Based on Cellular Communication Systems

引用

Power Electronics, Computer Applications (ICPECA), ieee international conference on

作者： Shaobo Yuan Jiaxu Chen Nanjing University of Posts and Telecommunications Nanjing China

ISBN: (数字)9798331533694

ISBN: (纸本)9798331533700

This paper presents a novel approach for optimizing sensor placement within a designated area, leveraging a combination of cellular communication systems and feed-forward neural networks to streamline the selection process for operators. Initially, a modified hill-climbing algorithm, a form of local search, is implemented to generate preliminary data for sensor positioning. However, to prevent the algorithm from converging on local optima, a simulated annealing algorithm is subsequently employed to validate and refine the results. During the construction phase of the cellular communication system, flaws were detected in the evaluation metrics when using Modal Assurance Criterion (MAC) and singular value ratios, which led to the adoption of a feed-forward neural network. This neural network is utilized for both further optimization and a more accurate assessment of the sensor distribution. The study highlights the seamless integration of cellular communication systems with local search methods and underscores the significant improvements in optimization achieved through the use of neural networks. Ultimately, the research successfully develops a method for determining the optimal sensor positions, providing a robust solution for the effective deployment of cellular sensors in complex environments.

关键词： Measurement sensor placement Search methods Clustering algorithms Simulated annealing Computer applications mobile communication Power electronics Feedforward neural networks Optimization

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Integrating Multimodal Perception into Ground mobile Robots

Integrating Multimodal Perception into Ground Mobile Robots

引用

ieee international conference on Autonomous Robot systems and Competitions (ICARSC)

作者： Ricardo B. Sousa Héber Miguel Sobreira João G. Martins Paulo G. Costa Manuel F. Silva António Paulo Moreira Faculty of Engineering University of Porto (FEUP) Porto Portugal INESC TEC - Institute for Systems and Computer Engineering Technology and Science Porto Portugal ISEP Polytechnic of Porto Porto Portugal

ISBN: (数字)9798331538606

ISBN: (纸本)9798331538613

Multimodal perception systems enhance the robustness and adaptability of autonomous mobile robots by integrating heterogeneous sensor modalities, improving long-term localisation and mapping in dynamic environments and human-robot interaction. Current mobile platforms often focus on specific sensor configurations and prioritise cost-effectiveness, possibly limiting the flexibility of the user to extend the original robots further. This paper presents a methodology to integrate multimodal perception into a ground mobile platform, incorporating wheel odometry, 2D laser scanners, 3D Light Detection and Ranging (LiDAR), and RGBD cameras. The methodology describes the electronics design to power devices, firmware, computation and networking architecture aspects, and mechanical mounting for the sensory system based on 3D printing, laser cutting, and bending metal sheet processes. Experiments demonstrate the usage of the revised platform in 2D and 3D localisation and mapping and pallet pocket estimation applications. All the documentation and designs are accessible in a public repository.

关键词： Laser radar Robot vision systems Wheels Three-dimensional printing Cameras Distance measurement Robustness mobile robots Laser beam cutting Autonomous robots

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Simulation Verification Method for Image sensor Interface Processing Unit Based on UVM

Simulation Verification Method for Image Sensor Interface Pr...

引用

Power Electronics, Computer Applications (ICPECA), ieee international conference on

作者： Wenji Ma Department of FPGA Verification Organization Beijing Sunwise Information Technology Ltd. Beijing China

ISBN: (数字)9798331533694

ISBN: (纸本)9798331533700

Image sensors are widely employed across various industries, including smart mobile devices, autonomous vehicles, and surveillance systems. The Image sensor Interface Processing Unit is typically characterized by a high degree of complexity to support diverse image sensor interfaces. Consequently, the effective and efficient verification of this unit is essential for upholding project quality and adhering to timelines. This article presents a simulation verification methodology for the Image sensor Interface Processing Unit utilizing the Universal Verification Methodology (UVM). It explores the features of different sensor interfaces, the architectural framework, core base classes, runtime mechanisms, and reusable components within the UVM verification platform. The study identifies functional verification points based on the specific characteristics and application contexts of the Image sensor Interface Processing Unit and formulates testing incentives. By analyzing the simulation results, the approach ensures comprehensive coverage of all functional points, achieving a 100% functional coverage rate. The testing platform is systematically designed to provide robust portability while meeting fundamental functional verification requirements, thereby serving as a reference for the development of future module verification environments.

关键词： Image sensors Industries Runtime Simulation Surveillance Computer architecture Power electronics mobile handsets Next generation networking Testing

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Scalable Smart Parking System Using sensors and Flutter mobile Application

Scalable Smart Parking System Using Sensors and Flutter Mobi...

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Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI), ieee conference on

作者： Diya Pandey Pratham Mistry Priyanshu Panchal Sulalah Mirkar Dept. of Information Technology SVKM’S NMIMS Mukesh Patel School of Technology Management and Engineering Mumbai India

ISBN: (数字)9798331521691

ISBN: (纸本)9798331521707

This paper presents the concept of an automation system for smart parking management using Wi-F module, infrared sensors, and internet connectivity that enable smooth parking operation and a mobile application dedicated to it. This app determines real-time occupancy based on the sensors whereby available spaces will be displayed, and slots are then assigned through a QR code scanned at the entrance. Live data is collected to have dynamic pricing according to demand. This app will allow users to book slots, make payments, and receive notifications on slot availability and pricing.

关键词： Wireless communication Technological innovation Pricing QR codes Automated parking sensor systems and applications Real-time systems mobile applications Intelligent sensors Wireless fidelity

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Reinforcement Learning for mobile Robot's Environment Exploration

Reinforcement Learning for Mobile Robot's Environment Explor...

引用

Robotics and Technologies for Industrial Automation (ROBOTHIA), ieee international conference on

作者： Saif Alahdal Nasr Abdalmanan Kamarulzaman Kamarudin Muhammad Aizat Abu Bakar Mohd Rizal Manan Ahmad Shakaff Ali Yeon Syed Muhammad Mamduh Faculty of Electrical Engineering & Technology Universiti Malaysia Perlis Arau Malaysia Center of Excellence for Advanced Sensor Technology Faculty of Electrical Engineering & Technology Universiti Malaysia Perlis Arau Malaysia Faculty of Electrical Engineering & Technology Universiti Malaysia Perlis Perlis Malaysia Center of Excellence for Advanced Sensor Technology Universiti Malaysia Perlis Arau Malaysia

ISBN: (数字)9798350356755

ISBN: (纸本)9798350356762

The field of mobile robotics has become increasingly significant in today's technology-driven world, with applications ranging from autonomous vehicles to automated delivery systems. This project aims to enhance the capabilities of mobile robots in navigating and exploring unfamiliar environments by developing and implementing a Reinforcement Learning (RL) model. The core objective is to enable these robots to autonomously explore, navigate, and adapt to new surroundings efficiently. By integrating the RL model into a mobile robot using the Robot Operating System (ROS), the project evaluates the system's efficiency through comprehensive ground experiments. The research compares the RL-based approach with established exploration methods, emphasizing the effectiveness of the Value Iteration algorithm, a dynamic programming algorithm for Markov Decision Processes (MDPs). Controlled experiments conducted in a 6×3 meter flat space with static obstacles and a 2D lidar sensor provide valuable insights into the RL model's performance and potential real-world applications. The findings highlight the advantages of the Value Iteration algorithm over traditional exploration methods, demonstrating its potential for improving autonomous robotic navigation and exploration.

关键词： Adaptation models Accuracy Service robots Heuristic algorithms Reinforcement learning Robot sensing systems Robustness Dynamic programming mobile robots Robots

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Health Monitoring of Ancient Building using Rechargeable Wireless sensor Network

Health Monitoring of Ancient Building using Rechargeable Wir...

引用

Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI), ieee conference on

作者： Saurabh Kumar Srivastava B Mani Pradeep Prasenjit Chanak Computer Science & Engineering Indian Institute of Technology (BHU) Varanasi India

ISBN: (数字)9798331521691

ISBN: (纸本)9798331521707

The inventiveness and originality of our ancestors are demonstrated via the worth of ancient architecture. The utilization of sensor networks is one strategy for preserving these priceless items. By deploying sensors throughout the building, architects and preservationists can monitor its condition in real-time and detect any early signs of damage or deterioration before they escalate. This paper proposes a framework for monitoring the health of ancient architecture using Wireless Rechargeable sensor Networks (WRSNs). A heuristic algorithm based on a dominating set minimizes the number of sensors used for data collection by identifying an anchor set from the deployed sensors within the sensing domain. The minimum number of mobile devices, within the limits of their charging range, are scheduled to periodically recharge and collect data from sensors. Simulations show that the proposed algorithm effectively monitors environmental data around ancient buildings and shows superior performance over other methods.

关键词： Wireless communication Performance evaluation Wireless sensor networks Technological innovation Architecture Buildings mobile handsets Real-time systems sensors Monitoring

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Integrated RFID System for Intralogistics Operations with Industrial mobile Robots

Integrated RFID System for Intralogistics Operations with In...

引用

ieee international conference on Autonomous Robot systems and Competitions (ICARSC)

作者： Fábio Daniel Pacheco Paulo M. Rebelo Ricardo B. Sousa Manuel F. Silva Hélio S. Mendonça INESC TEC - Institute for Systems and Computer Engineering Technology and Science Porto Portugal ISEP Polytechnic of Porto Porto Portugal University of Trás-os-Montes and Alto Douro (UTAD) Vila Real Portugal Faculty of Engineering University of Porto (FEUP) Porto Portugal

ISBN: (数字)9798331538606

ISBN: (纸本)9798331538613

Radio-Frequency IDentification (RFID) technologies automate the identification of objects and persons, having several applications in retail, manufacturing, and intralogistics sectors. Several works explore the application of RFID systems in robotics and intralogistics, focusing on locating robots, tags, and inventory management. This paper addresses the challenge of intralogistics cargo trolleys communicating their characteristics to an autonomous mobile robot through an RFID system. The robot must know the trolley's relative pose to avoid collisions with the surroundings. As a result, the passive tag on the cargo communicates information to the robot, including the base footprint of the trolley. The proposed RFID system includes the development of a controller board to interact with the frontend integrated circuit of an external antenna onboard the industrial mobile robot. Experimental results assess the system's readability distance in two distinct environments and with two different antenna modules. All the code and documentation are available in a public repository.

关键词： Wireless communication Wireless sensor networks Service robots Robot sensing systems sensors mobile robots Object recognition Collision avoidance Radiofrequency identification Autonomous robots

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Smart Lighting systems for Energy Efficiency Using IoT and sensor Technologies

Smart Lighting Systems for Energy Efficiency Using IoT and S...

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3rd ieee international conference on Automation and Computation, AUTOCOM 2025

作者： Swain, Biswaranjan Khurana, Shivam Krishna, Gautham Radhika, S. Alam, Intekhab Faiz, Ayaan Centre for Internet of Things Odisha Bhubaneswar India Chitkara University Chitkara Centre for Research and Development Himachal Pradesh Baddi174103 India Department of Civil Engineering Karnataka Bangalore India Sathyabama Institute of Science and Technology Department of Electrical and Electronics Engineering Tamil Nadu Chennai India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India Chitkara University Centre of Research Impact and Outcome Punjab Rajpura140417 India

ISBN: (纸本)9798331542375

Smart Lighting systems for Energy Efficiency via Internet of Things (IoT) and sensor Technologies A novel method of attaining energy efficiency is combining IoT with sensor technology. The emergence of the IOT given go up to intelligent lighting systems that can leverage sensors, data analytics, and connectivity means for energy optimization. Their purpose is to adjust lighting levels automatically regarding occupancy, daylight availability, and time of day to save significant amounts of power. The sensors are wireless;hence, they are battery-powered IoT devices that measure the ambient light level at the location where they were installed. It also measures movement in their range and temperature readings for an office or conference area, enabling smart lighting systems to adapt to local conditions while minimizing energy wastage. This mechanism of collecting real-time data and analyzing the same gives us insights on patterns or preferences in lighting usage thus can be customized for different type's timings. This increases the effective use of artificial lighting and ensures it takes advantage of natural light availability. In addition to this, these systems can also integrate with other smart building technologies like heating and cooling systems for a well-rounded approach to energy management. The lighting control from mobile devices enhances building owners' and managers' convenience and to manage their property features remotely. © 2025 ieee.

关键词： Battery management systems

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Dynamic Equilibrium in Robotics:Techniques and Applications for Self Balancing Robots

Dynamic Equilibrium in Robotics:Techniques and Applications ...

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ieee Students' conference on Electrical, Electronics and Computer Science (SCEECS)

作者： Nitin Kumar Ujjawal Arora Neelu Chaudhary Computer Science & Technology Manav Rachna University Faridabad India

ISBN: (数字)9798331529833

ISBN: (纸本)9798331529840

Self-balancing robots have become a key focus in robotics and control system studies since they are capable of standing on two wheels as an upright system. In the implementation of these systems, PID control, Linear Quadratic Regulation, fuzzy logic as well as reinforcement learning in machine learning is applied to control the balance and motion of the robots in the robots in different environmental conditions. This article reviews literature on self-balanced robots over the last half century moving beyond mechanical and electrical designs to control strategies including how double loop control incorporated PID control and how this has now shifted to machine learning. It also describes sensor fusion techniques where a Kalman filter or complementary role filters is employed sensor’s accelerometer data and gyroscope data towards the assistance of estimating how tilted the robot is to the ground in degrees. Practical examples are also analyzed from personal devices such as the Segue, to education and robotics research. The paper also investigates the current challenges in the field including sensor drift , battery life, and especially the need for real time adjustment to varying environmental conditions such as bumpy terrain or perturbations. A number of ways are suggested such as using better sensors, control strategies and low power actuators which all improve balance robot systems. The study finishes with the discussion of the optimal developments, particularly focusing on the use of overcome strategies of controls using artificial intelligence for bringing about more flexibility and independency to self-balancing robots.

关键词： PI control Education Wheels Reinforcement learning sensor fusion Robot sensing systems Real-time systems mobile robots PD control Collision avoidance

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