Communication Module Research Articles

Automated deployment mechanism of containerized communication micro-services for smart manufacturing applications

To swiftly and reliably monitor various information and the operational status of machinery across large smart manufacturing sites, this study introduces the use of LPWAN multi-mode network communication technology. This technology can automatically switch between LoRa and NB-IoT modes based on signal strength to ensure communication stability. Through wireless communication technologies such as LoRa and NB-IoT, the status information of machinery can be transmitted back to the cloud in real-time, facilitating user management. However, LPWAN multi-mode network communication modules often adopt a monolithic architecture, making maintenance and upgrades more difficult. When an application within the module needs upgrading, not only must the consistency between the development environment and the execution environment be ensured, but also a significant amount of time and resources must be spent on on-site deployment. With the development of cloud computing and virtualization technologies, containerized microservices architecture, which focuses on replacing functional modules with services, is set to become the mainstream for future industrial applications. Therefore, this study proposes a remote communication architecture based on container and microservices technologies. Utilizing the concept of microservices, this architecture divides LPWAN multi-mode network communication modules based on different functionalities and offers them to users in a more flexible service manner through containerization technology. This study also designs a mechanism to automate the entire service construction process, followed by the implementation of communication services’ automatic deployment through container management tools. Compared to manual deployment, this significantly reduces the waste of time and human resources. Finally, this study uses a large mobile pumping unit as a practical application case to verify the feasibility of the proposed architecture. In the context of flood prevention and disaster relief, large mobile pumping units are widely used to solve flooding issues. These pumps are often deployed in dangerous areas with poor signal reception, thereby also validating the value of the proposed architecture.

Smart Glasses for Visually Impaired People Using IoT

The visually handicapped have a difficult time getting by in a world that is mostly intended for sighted people. Even seemingly simple things like locating obstacles, traversing new places, and keeping spatial awareness can be difficult for them and frequently impede their freedom and movement. Their sense of dependence and loneliness are exacerbated by the absence of real-time support and systems catered to their individual needs, which exacerbates these challenges. Smart glasses are made especially for those who are blind or visually impaired to address these issues. These smart glasses use technologies to improve the wearer's movement and independence while offering real-time help. It seeks to remove the obstacles that visually impaired people encounter when attempting to safely and successfully navigate their environment by utilizing modern sensor technology and creative IoT solutions. [3] Its primary goal is to create a wearable assistive technology with features including proximity alarms, object detection, distance measuring, and location mapping. It seeks to provide a complete and user-friendly system that caters to the unique needs of visually impaired people by integrating a variety of sensors, communication modules, and cloud-based platforms. The goal of the glasses is to let people to live more independently and confidently by removing the limits imposed by visual impairment, which will ultimately improve their overall quality of life.

Research on autonomous navigation system of greenhouse electric crawler tractor based on LiDAR.

The application of autonomous navigation technology of electric crawler tractors is an important link in the development of intelligent greenhouses. Aiming at the characteristics of enclosed and narrow space and uneven ground potholes in greenhouse planting, to improve the intelligence level of greenhouse electric crawler tractors, this paper develops a navigation system of electric crawler tractors for the greenhouse planting environment based on LiDAR technology. The navigation hardware system consists of five modules: the information perception module, the control module, the communication module, the motion module, and the power module. The software system is composed of three layers: the application layer, the data processing layer, and the execution layer. The developed navigation system uses LiDAR, Inertial Measurement Unit (IMU) and wheel speed sensor to sense the greenhouse environment and the crawler tractor's information, employs the Gmapping algorithm to build the greenhouse environment map, and utilizes the adaptive Monte Carlo positioning algorithm for positioning. The simulation test of different global path planning algorithms in Matlab shows that the A* algorithm obtains the optimal overall global path. In the scene of map 5, the path planned by the A* algorithm is the most significant, and the number of inflection points is reduced by 40.00% and 87.50%, respectively; meanwhile, the path length is the same as that of the Dijkstra algorithm, but the runtime is reduced by 68.87% and 81.49%, respectively; compared with the RRT algorithm, the path length is reduced by 7.27%. Therefore, the A* algorithm and the Dynamic Window Approach (DWA) method are used for tractor navigation and obstacle avoidance, which ensures global path optimality while also achieving effective local path planning for obstacle avoidance. The test results suggest that the maximum lateral deviation of the built map is 6cm, and the maximum longitudinal deviation is 16cm, which meets the requirement of map accuracy. Additionally, the results of the navigation accuracy test indicate that the maximum lateral deviation of navigation is less than 13cm, the average lateral deviation is less than 7cm, and the standard lateral deviation is less than 8cm. The maximum heading deviation is less than 14°, the average heading deviation is less than 7°, and the standard deviation is less than 8°. These results show that the developed navigation system meets the navigation accuracy requirements of electric crawler tractors in the greenhouse environment.

A Low-Cost Energy Monitoring System with Universal Compatibility and Real-Time Visualization for Enhanced Accessibility and Power Savings

Energy management is important for both consumers and utility providers. Utility providers are concerned with identifying and reducing energy wastage and thefts. Consumers are interested in reducing their energy consumption and bills. In Pakistan, residential and industrial estates account for nearly 31,000 MW of the maximum total demand, while the transmission and distribution capacity has stalled at about 22,000 MW. This 9000 MW gap in demand and supply, as reported in 2022, has led to frequent load shedding. Although the country now has an excess generation capacity of about 45,000 MW, the aging transmission and distribution network cannot deliver the requisite power at all times. Hence, electricity-related problems are likely to continue for the next few years in the country and the same is true for other low- and middle-income countries (LMICs). Several energy monitoring systems (EnMS) have been proposed, but they face limitations in terms of cost, ease of application, lack of universal installation capability, customization, and data security. The research below focused on the development of an economical, secure, and customizable real-time EnMS. The proposed EnMS comprises low-cost hardware for gathering energy data with universal compatibility, a secured communication module for real-time data transmission, and a dashboard application for visualization of real-time energy consumption in a user-preferred manner, making the information easily accessible and actionable. The experimental results and analysis revealed that approximately 40% cost savings in EnMS development could be achieved compared to other commercially available EnMSs. The performance of the EnMS hardware was evaluated and validated through rigorous on-site experiments. The front-end of the EnMS was assessed through surveys and was found to be interactive and user-friendly for the target clients. The developed EnMS architecture was found to be an economical end-product and an appropriate approach for small and medium clients such as residential, institutional, commercial, and industrial consumers, all on one platform.

Accident Prevention and Alerting System

The project addresses the increased demand for vehicle tracking systems in the embedded systems industry by providing a solution that combines accident avoidance and real-time tracking capabilities. The system takes a holistic approach to road safety by integrating components such as the Arduino microcontroller, alcohol sensor MQ2, heartbeat sensor, limit switch, relay, Liquid Crystal Display, Global Positioning Satellite, and Global system for mobile communication module. The system's ability, in particular, to detect and prevent drunk driving incidents makes a substantial contribution to road safety. The project's goal is to avoid accidents and fatalities by automatically alerting drivers when they attempt to operate a car while intoxicated. Finally, the project's emphasis on improving road safety through proactive monitoring and intervention highlights its potential to make a significant contribution to reducing traffic accidents and saving lives.

Design and Development of Fire Extinguisher Action Robot

The project titled "Design and Development of Fire Fighting Robot" presents the creation of a robotic system aimed at assisting in firefighting operations. This robot is equipped with various sensors and modules to effectively detect and combat fires remotely. The key components utilized in this project include a camera module, an ESP module for wireless communication, and ultrasonic sensors for environment sensing

Smart Cattle Care: An IOT Based Monitoring and Management System

The "Smart Cattle Care" system, which utilizes Internet of Things (IoT) technology to alter the way cattle are monitored and cared for in agricultural settings, marks a ground-breaking innovation in livestock management. This ground-breaking system combines a network of specialized sensors, wearables, and communication modules to gather and transmit real-time data on important aspects like location, environmental conditions, and health measurements. After that, using cloud-based platforms and cutting-edge analytics and artificial intelligence algorithms, the data is processed and examined. This all-encompassing strategy equips farmers with timely knowledge about the health and behavior of their cattle, allowing for proactive disease detection, improved breeding management, and increased overall productivity. The technology also allows for automatic regulation of feeding and climate, ensuring the provision of ideal circumstances for living. Smart Cattle Care greatly improves operational efficiency, lowers costs, and ultimately promotes enhanced animal care and agricultural sustainability by providing a user-friendly dashboard interface and rapid notifications. This study provides a thorough description of the Smart Cattle Care system, emphasizing its essential features, advantages, and prospective effects on contemporary livestock management techniques.

Early Detection System for Gas Leakage and Fire in Smart Home Using IOT

Gas leakage is an important environmental, commercial and residential problem that threatens human health, safety and the environment. Traditional gas detection methods often lack the ability to track time and do not provide timely information, leading to accidents and damage. In this context, Internet of Things (IoT) technology has been found to provide a reliable solution for continuous monitoring and remote management of gas detection systems. This paper presents an IoT-based gas leak detection system to improve safety and reduce the risk of gas leakage. leak. The proposed system integrates gas sensors, microcontrollers, communication modules and cloud computing infrastructure to enable real-time monitoring, data analysis and remote monitoring. Gas detectors used in designated areas indicated the presence of hazardous gases, and data was collected directly from the 's central processing unit for analysis. The system provides rapid rescue and intervention by sending instant notifications via mobile applications in case of a gas leak. The main features of the proposed system are scalability, flexibility and interoperability, allowing integration with existing infrastructure and integration of different protocols. Additionally, the use of a cloud-based platform facilitates data storage, analysis and visualization, allowing partners to gain insight intogasleaks, processes and possible consequences

Real-time air quality monitoring based on locally developed unmanned aerial vehicle and low-cost smart electronic device

This article deals with the development of real-time air quality monitoring based on Unmanned Aerial Vehicles (UAVs) and low-cost Internet of Things (IoT) devices. This investigation aims to design and develop an UAV-based platform that can monitor a large number of air pollutants in real-time with high spatial and temporal resolution. The proposed environmental monitoring system consists of five main elements, namely the UAV, sensors, data storage module, programmable card, and IoT communication module. Estimated pollutants such as particulate matter (PM2.5) and toxic gases (carbon monoxide CO, nitrogen dioxide NO2, and carbon dioxide CO2) are detected by low-cost sensors. The ZigBee wireless protocol is used for communication between the PC and UAV. This work is carried out to assess the air quality in urban areas, given the heavy road traffic and the emissions of some companies. The data analyzed were collected from December 2, 2022 to January 3, 2023, in two major cities of Cameroon, Douala and Kribi. The periodic average values of the detected pollutants are 222 ± 22 μg/m3 and 85.7 ± 8.6 μg/m3 for PM2.5, 560.8 ± 1.0 ppm and 555.6 ± 1.0 ppm for CO2, 4.2 ± 0.2 ppm and 0.7 ± 0.1 ppm for NO2, and 27.6 ± 2.8 ppm and 4.5 ± 0.5 ppm for CO in Douala and Kribi respectively. This made it possible to have an air quality index (AQI) of 444.2 for Douala City and 171.3 for Kribi City. These high values indicate poor air quality during the measurement period.

Design and implementation of intelligent anti-hail net system based on STM32

This research is dedicated to designing an intelligent anti-hail net system using STM32 microcontroller. The system integrates sensing technology and communication modules to monitor various environmental parameters in real time, analyzes the data through the STM32 processor, and realizes real-time intelligent control of the anti-hail network. The system design focuses on the collaboration of hardware and software, taking full advantage of the high performance and low power consumption of the STM32 microcontroller. Through actual tests, the feasibility of the system in improving hail prevention effect, real-time performance and automation was verified, providing reliable guarantee for agricultural production. This research provides a useful reference for the application and promotion of smart agricultural technology.

EFFICIENT PARKING SPACE MANAGEMENT USING IOT AND WIRELESS COMMUNICATION

With the rapidly increasing urban population and their busy working schedule, people prefer private cars over public transport depending upon their requirements. This leads to the problem of finding parking spots for their vehicles, especially cars, which is a big issue everyone faces nowadays. Because of heavy working schedules, drivers hardly have time to spend in the parking lane. So, the demand is to develop a digital system that automatically detects and indicates vacant parking spots in the parking area. As the world is growing and tending to be more digital every day, this digital system will help to save time for a person in daily aspects which is a crucial necessity of today’s generation. This paper shows how the information is collected from multiple parking areas nearby each other to a single acknowledged unit for an indication of free parking slots in a particular area. The nRF24L01 is a transceiver module which provides reasonable and operative full- duplex RF choices. These transmitting and receiving communication modules used in similar illustrations come on a veritably controllable as well as affordable. The aim of this paper is to easily indicate the exact location/parking lot in the particular parking area. The list of empty slots will be displayed at the entrance of the parking lot. The system consists of a controlling unit, IR sensors, an LCD screen, antennas, etc. The use of this system for car parking will reduce manpower.

Systematic Risk Characterisation of Hardware Threats to Automotive System

The increasing dependence of modern automotive systems on electronics and software poses cybersecurity risks previously not factored into design and engineering of such systems. Attacks on hardware components, communication modules and embedded software – many of which are purposefully designed for automotive control and communications – are the key focus of this paper. We adopt a novel approach to characterise such attacks using Gajski-Kuhn Y-charts to represent attack manipulation across behavioural, structural and physical domains. Our selection of attacks is evidence-driven demonstrating threats that have been demonstrated to be feasible in the real-world. We then risk assess impact of such threats using the recently adopted ISO/SAE 21434 standard for automotive cybersecurity risk assessment, including mitigations for potential adoption. Our work serves to provide unique insights into the complex dynamic of hardware vulnerabilities and how the industry may address system-level security and protection of modern automotive platforms.

A multi-directional magnetic-driven multifunctional soft crawling robot

Multifunctional and multi-freedom integrated magnetic-driven soft robots have received widespread attention in the past decade. However, the current magnetic-driven soft crawling robots with multiple functional modules focus on the development of new materials or innovation of driving component. Herein, we propose a soft crawling robot that materializes multi-directional motion driven only through a unidirectional magnetic field (MF) while possessing the ability to communication, loading, and positioning. The locomotion of robot relies on ingenious leg design to generate differences in friction between each leg and the ground by controlling the MF intensity. The integrated wireless communication modules on the robot's legs serve as a medium for interacting with the external world, enabling the robot to effectively perceive the environment via electromagnetic coupling. In addition, the magnetic-driven soft crawling robot carries loads (3.37 g) larger than twice its own weight for motion. Overall, this work showcases a new paradigm for robot applications, providing a practicable idea for developing miniaturization, multi-directional soft crawling robots.

Improving Real-Time Performance of Micro-ROS with Priority-Driven Chain-Aware Scheduling

Micro-ROS is widely used to bridge the performance gap between resource-constrained microcontrollers and powerful computing devices in ROS-based robotic applications. After modeling the callback scheduling module and the communication module in micro-ROS, we found that there are some design flaws that significantly impact the real-time performance of micro-ROS. To improve the timing predictability and run-time efficiency of micro-ROS, we design and implement a priority-driven chain-aware scheduling system (PoDS) based on the existing micro-ROS architecture. The experimental results demonstrate that our proposed PoDS exhibits significantly improved real-time performance compared to the default micro-ROS.

Chaos quantum optimization‐based layered diagnosis framework for faulty sensor node diagnosis and classification in wireless sensor networks

SummaryNode faults are often influenced by factors such as physical component failure, communication module errors, battery exhaustion, and environmental factors. Various researchers have contributed to addressing the problem of detecting, diagnosing, and classifying faults in sensor networks. However, computational complexity and fault occurrence probability increase with the size of the network. In this context, an enhanced optimized layered diagnosis framework (OLDF) is proposed for detecting, diagnosing, and classifying sensor node faults. OLDF utilizes a deep belief network (DBN) with chaos quantum‐behaved particle swarm optimization (CQ‐PSO) for efficient diagnosis and classification of various sensor faults in the network. The proposed OLDF consists of two layers. In the first layer, optimized DBN with CQ‐PSO algorithm is employed to determine the fault type of the sensor nodes. Then, the fault type of sensor nodes that are classified in the first layer is given as input into the second layer of the OLDF algorithm to determine the fault severity in the network. Experimentation has been carried out by using the NS3 simulator for the OLDF framework with performance metrics such as classification accuracy, diagnosis accuracy, false positives, fault alarm rate, and average energy consumption. The validity of the proposed framework has been verified through comparisons with existing works such as MFD, INSA, FDRFC, and HFD. From the comparative analysis carried out, it is apparent that the proposed framework achieves a high classification accuracy of 89.94% and diagnosis accuracy of 93.21%, with less false positive rate, and utilizes minimum energy when compared with its counterparts.

IoT CONTROLLED LED NOTICE BOARD

The IoT Controlled LED sign board design represents a slice- edge bid aimed at revolutionizing display results for a multitude of purposes including advertising, information dispersion, and aesthetic improvement. At its core, the sign board features an intricate array of LEDs strictly arranged in a grid pattern, each strictly orchestrated by a central microcontroller unit( MCU) harmoniously integrated with a Bluetooth module for flawless wireless communication. This community enables druggies to apply their smartphones or any Bluetooth- enabled bias as important remote controls, decreeing the content showcased on the LED board with unknown ease and perfection. Through a devoted mobile operation, druggies gain a gateway to a realm of creative expression, empowered to transmit a myriad of content types ranging from brief textbook dispatches to witching, robustness and images for immediate display. specially, the system's hallmark lies in its capability to grease real- time content operation, preventing the need for physical intervention and fostering dynamic rigidity to evolving demands and scripts. likewise, the mobile operation's robust point set extends beyond bare content transmission, offering sophisticated tools for communication scheduling and contemporaneous operation of multiple sign boards, thereby accelerating scalability and usability across different surroundings similar as bustling retail spaces, bulging transportation capitals, and bustling public spaces likewise. With its intimately designed interface and multifaceted functionality, the IoT Controlled LED sign board design emerges as a lamp of invention, promising to review the veritably geography of information dispersion and visual communication in the digital age. KEYWORDS: IoT Controlled LED subscribe Board, Microcontroller Unit( MCU), Wireless Communication, Mobile Application, Management, Remote Control.

Microcontroller Based Women Safety Tracker Device

This paper presents the design and implementation of a microcontroller-based women safety tracker device aimed at enhancing personal safety for women. In recent times, there has been an increasing concern for women's safety, especially in urban areas. To address this issue, our device integrates various sensors and communication modules to provide tracking and alert functionalities. The core of the device is a microcontroller unit that coordinates the operation of different components. It interfaces with sensors such as GPS, Pulse sensor, MEMs sensor to track the user's location and detect any sudden movements or falls. These sensors continuously monitor the user's activities and send data to the microcontroller for processing. In case of an emergency the device alert GSM/GPS communication for sending SMS alerts with the user's location coordinates. The device is designed to be compact, lightweight, and discreet, allowing users to carry it comfortably in various situations. Overall, the proposed women safety tracker device provides a reliable and efficient solution for enhancing personal safety.

Micro Controller Based Women Safety Tracker Device

This paper presents the design and implementation of a microcontroller-based women safety tracker device aimed at enhancing personal safety for women. In recent times, there has been an increasing concern for women's safety, especially in urban areas. To address this issue, our device integrates various sensors and communication modules to provide tracking and alert functionalities. The core of the device is a microcontroller unit that coordinates the operation of different components. It interfaces with sensors such as GPS, Pulse sensor, MEMs sensor to track the user's location and detect any sudden movements or falls. These sensors continuously monitor the user's activities and send data to the microcontroller for processing. In case of an emergency the device alert GSM/GPS communication for sending SMS alerts with the user's location coordinates. The device is designed to be compact, lightweight, and discreet, allowing users to carry it comfortably in various situations. Overall, the proposed women safety tracker device provides a reliable and efficient solution for enhancing personal safety. Keywords- Microcontroller,, Tracker device, Sensors, GPS

A novel mode of INS-aided BDS real-time high-rate and precise kinematic relative positioning between two moving platforms

ABSTRACT For kinematic relative positioning users between two moving platforms, limited communication bandwidth and computation ability usually cannot support real-time transmission of high-rate (≥10 Hz) BeiDou Navigation Satellite System (BDS) data. The performance of Ambiguity Resolution (AR) is also a major challenge in signal blocked and loss of lock environments. Based on BDS and Inertial Navigation System (INS) data, we develop a novel mode of INS-aided BDS kinematic relative positioning between two moving platforms, aiming to realize real-time, high-rate and precise positioning with low-cost communication modules in challenge environments. To achieve this goal, the INS-aided high-rate relative kinematic positioning and INS-aided BDS AR re-initialization methods are proposed. In this mode, the baseline bias caused by the different position datum is first defined and resolved. Then, high-rate INS data are assisted to obtain kinematic relative position when real-time kinematic positioning results are unavailable within 1 second. Once the BDS data are available, the predicted relative position is used as additional constraint to facilitate AR re-initialization and improve the kinematic positioning performance. The performance of these methods is discussed in a set of experiments with 1 Hz BDS data and 100 Hz INS data, and compared with the conventional method by sending raw BDS/INS measurements. The results show that the proposed methods can achieve an accuracy of about 5 cm for the INS-aided 100 Hz relative positioning in baseline components and lengths, which is equal to the conventional method, but the transmitted data have been sharply reduced by an average of nearly 80%. With the assistance of INS-predicted baseline constraint, the relative positioning performance has been further improved. The accuracy of baseline length errors is less than 4 cm, and the AR fixing rates keep larger than 95% during the experiment, while the wrongly fixed rates are reduced to less than 0.5%.

HAND GESTURE CONTROLLED WHEEL CHAIR

The project for controlling wheelchairs through gestures offers a complete solution to enhance the mobility and independence of individuals with limited motor abilities using an intuitive gesture control system. This system incorporates essential elements, such as an Arduino Nano microcontroller, MPU (Motion Processing Unit), NRF wireless communication module, 775 DC motors, and a motor driver, to allow for smooth and responsive wheelchair operation.