Application Of Wireless Technology Research Articles

Application analysis of wireless communication technology in China's smart grid

With the rapid advancement of China's economy and technological innovation, wireless communication technology has seen considerable development. Concurrently, global energy and environmental challenges have intensified, heightening the demand for efficient and sustainable energy management solutions. In response to evolving energy demands, China has introduced new standards for digital power grid construction, prioritizing the use of wireless communication technologies to improve energy efficiency and develop smarter grid systems. These technologies facilitate real-time data transmission, remote monitoring of equipment, and network interconnectivity, thereby improving operational efficiency and monitoring capabilities. This paper reviews recent applications of wireless communication technologies within smart grids, aiming to provide valuable insights for future developments based on existing literature and data. Wireless communication technology in smart grids mainly enhances the intelligence and efficiency of the grid by enabling real-time data transmission, remote device management, and optimized energy distribution. Technologies such as Wi-Fi, 5G, and LoRa facilitate key functions like smart meter monitoring, equipment status management, and demand response, driving the automation and intelligent development of power systems. Future research should focus on optimizing the integration of these technologies, strengthening network security, and leveraging big data and artificial intelligence to advance the intelligence of power systems, thereby addressing critical energy challenges and fostering sustainable development

Evolutionary Bioinformatics with Veiled Biological Database for Health Care Operations

The tremendous growth of biological data processing systems in the realm of health care applications has made real-time information accessible to everyone with no processing lags. Bioinformatics is even integrated into most wireless technology applications to account for all physical characteristics. The planned model focuses on evolutionary bioinformatics for medical sensor applications in health care. The optimization scenario is executed by combining genetic and ant colony optimization methods (GACO). In the proposed technique, the design concerns are implemented with appropriate transmitting and receiving modules, and individual bits are framed for extra bioinformatics data processing components. a design that completely minimizes all errors in the big data processing stage. Such a design completely lowers the overall error in the huge data processing state since all channels can be accessed in accordance with the framed bits. Furthermore, the quality of service is maximized because all channels carrying bioinformatics data are kept at high quality bits, increasing utility rates. The experiments were conducted using five scenarios to evaluate the effectiveness of the proposed design. The findings indicate that the proposed technique can handle bioinformatics data for healthcare in real time with a service quality of 95%.

Band Correlation‐Based Multichannel Multiscale Convolution Network for Intelligent Interference Recognition

AbstractIn recent years, with the development and extensive application of wireless communication technology, the communication system should have stronger anti‐Jamming ability. Therefore, interference recognition is particularly important as a prerequisite for anti‐interference. However, the existing traditional and intelligent interference recognition algorithms have problems such as complicated feature extraction and low recognition accuracy under low interference‐to‐noise ratio. In order to solve the above problems, this paper introduces parallel multi‐channel multi‐scale convolution to improve the speed and accuracy of network recognition. In addition, combined with frequency band correlation and long‐short‐term memory network (LSTM), an innovative wireless communication interference identification model based on frequency band correlation is proposed, which uses LSTM to detect the frequency band correlation of interference signals and improve the accuracy of interference identification under low Jamming noise ratio (JNR). Experiments prove that the model proposed in this article has faster recognition speed and better generalization. The introduction of frequency band correlation increases the recognition accuracy to more than 99% with low JNR. Therefore, the model proposed in this paper is an effective and available model in complex electromagnetic environments. © 2024 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.

An evaluation method for electromagnetic compatibility risks caused by the intelligent transformation of oil and gas field stations

Abstract With the development of the intelligentization of the petroleum and chemical industry, the application of wireless communication technology and a large number of communication devices in the construction of smart oil and gas fields may cause harmful interference to important electronic and electrical equipment within the oil and gas fields, leading to shutdowns or other serious safety accidents. This paper mainly studies the analysis and evaluation methods of electromagnetic safety risks that may arise after the deep integration of new generation information technology and oil and gas field engineering, so as to quickly analyse and locate the electromagnetic safety risks and risk levels that may arise in the process of building wireless communication networks in the oil and gas field areas. It provides guidance for the intelligent upgrade of oil and gas field projects and accelerates the construction of 5G communication networks in the petroleum and chemical industry.

Wireless power supply near-infrared light drug-loaded microneedle system for the treatment of linear skin wounds

The healing of linear skin wounds is a complex biological process, and traditional treatment methods have certain limitations. This study proposes a wireless power supply near-infrared light drug-loaded microneedle system (NIR-LED-NG-R1-MN), which utilizes microneedles (MNs) to achieve targeted delivery of the active component of traditional Chinese medicine, Notoginsenoside R1 (NG-R1), and combines the biological regulatory effect of near-infrared light (NIR) to achieve efficient synergistic treatment for linear skin wounds. Experimental results show that the device can significantly promote the wound closure rate and reduce the levels of inflammatory factors and the risk of scar formation. By comparing the wound repair conditions of different treatment groups, it was found that the group treated with the NIR-LED-NG-R1-MN patch for NG-R1 and NIR synergistic treatment (MN@NG-R1@LED group) showed superior wound repair effects compared to other groups, thus confirming the synergistic therapeutic advantages of NG-R1 and NIR in skin wound healing. In addition, the application of wireless power supply technology used in this system eliminates the dependence on external power sources, enhancing the convenience of treatment. This study clearly demonstrates that the NIR-LED-NG-R1-MN has the potential to become a new clinical method for the treatment of linear skin wound healing.

Secure pairing-free certificateless aggregate signcryption scheme for IoT

The widespread application of wireless sensor technology in the Internet of Things (IoT) industry significantly enhances productivity. However, the large scale deployment of IoT and the inherent vulnerabilities of wireless communication methods to attacks present significant new challenges. Consequently, there is a need to address the efficiency and security of information transfer in IoT. To effectively solve these issues, this paper presents a secure and efficient pairing-free certificateless aggregated signcryption (CL-ASC) scheme for IoT based on the elliptic curve cryptosystem. Our scheme avoids the complex certificate management issues associated with Public Key Cryptography (PKC) and the key escrow problem found in identity-based cryptography, while maintaining the storage and communication efficiency benefits of aggregated signcryption. The use of secure signcryption and aggregation techniques effectively resists a variety of potential attacks. Both formal and informal security analyses demonstrate that our scheme meets the expected security requirements. Specifically, our scheme shows significant improvements in computational and communication overheads. Compared to other state-of-the-art protocols, our scheme achieves signcryption computation cost of 0.691 ms, unsigncryption computation cost of 3.917 ms for 5 messages, and a total cost of 4.608 ms for 5 messages. Additionally, it provides a signcryption communication overhead of 128 bytes and aggregated communication overhead of 580 bytes for 5 messages.

LiDAR-based SLAM pose estimation via GNSS graph optimization algorithm

LiDAR simultaneous localization and mapping (SLAM) is widely used in positioning and navigation. By illuminating a series of light spots on the surface of an object, orientation and pose information is obtained. However, improving the accuracy of the pose optimization algorithm without affecting the position information is difficult. Therefore, this study combines the graph optimization algorithm and the Global Navigation Satellite System (GNSS) to optimize the coordinates of the target object in the LiDAR SLAM pose. A GNSS pose estimation algorithm is proposed to show the relationship between positioning algorithms with and without GNSS pose optimization by analyzing the deviation of the distance, level, and height laser point cloud coordinates. The results show that with GNSS pose optimization, the deviations in distance, level, and height are 99% smaller than those without GNSS pose optimization. Furthermore, we demonstrate the effectiveness of the proposed graph optimization algorithm and GNSS optimization of LiDAR SLAM. Finally, this study highlights the directions for the application of wireless communication technology in the field of LiDAR SLAM.

Wireless Charging Technology Improvement for New Energy Vehicles

In the operation of new energy vehicles, the energy supply method is directly related to the range and stability of the vehicle, and wireless charging technology is becoming a hot spot in the industry because of its efficient and convenient characteristics. This paper will discuss the core technology of wireless charging in new energy vehicles, covering the related equipment construction, compensation network design, and the design of key components of wireless charging technology improvement in new energy vehicles. The article will analyse the detailed results of the actual operation of the system, aiming to provide theoretical support and practical guidance for the application of wireless charging technology in new energy vehicles, and at the same time promote the further development of the new energy vehicle industry.

Application research of 5G/6G cellular network in intelligent Transportation Internet of Things

This study paper's primary goal is to examine the developments and use cases of 5G/6G wireless communication technologies and the Internet of Things (IoT) in intelligent transportation. This paper will delve into the foundational aspects of IoT technology and its integration into intelligent transportation systems (ITS). It will conduct in-depth research on 5G and 6G wireless communication technologies and the critical IoT technologies that play a pivotal role in intelligent transportation. By analyzing these cutting-edge technologies, the paper highlights their significance and potential impact on transportation systems' efficiency, safety, and sustainability. This research will identify and elucidate the major applications of 5G and 6G wireless communication technologies in intelligent transportation. By comprehensively addressing these objectives, the essay will provide readers with an insightful understanding of the fundamental IoT technology, important 5G/6G wireless communication technologies, and their diverse application domains in intelligent transportation and smart cities. Through this exploration, the study aims to shed light on the transformative potential of these technologies in shaping the future of transportation systems and urban living.

Application of IoT wireless technology in precision agriculture by the example of creating a smart greenhouse

Intelligent agricultural applications are gaining momentum, promising 24-hour monitoring of soil and crops, equipment productivity, storage conditions, plant and animal behaviour, energy consumption levels, etc. Combining different sensors, connected devices and agricultural facilities, IoT platform optimizes the development of intelligent agricultural systems and provides maximum flexibility, for example, for individual architectural design. This is a huge advantage for companies or farmers that plan to steadily expand their ecosystem of the IoT devices and over time introduce new intelligent agricultural solutions. Managing several solutions and upgrading them on a single IoT platform ensures rational operation and predictable results. One of such intellectual solutions is offered in this article on the example of the project "Smart greenhouse" using wireless IoT technologies.

Research and Application of Wireless Transmission Technology in Communication Engineering

Research and Application of Wireless Transmission Technology in Communication Engineering

Unsupervised Machine Learning-Based Clustering of High-Frequency Radio Channel Properties: Analysis of Sector Communication Efficiency

Machine learning has emerged as a powerful tool for both engineering and geo-localization applications. In this study, we investigate the Terabit/sec bandwidth wireless technology application using specialized ns-3 simulation tools. Through extensive simulations, we explore various scenarios with diverse parameters, including population density, topology types, and overlapping ratios among consecutive radio sectors centered around a single access point. To extract meaningful insights from the data, we employ the DBScan unsupervised learning method, enabling us to identify the optimal number of classes for sector efficiency features. Our optimization approach considers both the number of outliers and the minimum number of elements within each radio sector. By analysing a synthetic dataset generated from the simulation cases, we uncover valuable insights and establish the optimal working point for the system.

Application of wireless sensor network technology based on artificial intelligence in security monitoring system

Abstract The safety monitoring system has been used to monitor and manage engineering safety operation. The application scope of the safety monitoring system is very wide. It has a wide range of applications in the fields of pipeline safety monitoring, electrical safety monitoring and household safety monitoring. This article studied the application process of the household safety monitoring system. Many home safety accidents are caused by inadequate monitoring of safety problems. Therefore, it is very important to establish a household safety monitoring system. Traditional home safety monitoring systems only rely on cameras for safety monitoring, and the traditional home safety monitoring system uses too few sensors. With the continuous development of wireless sensor network (WSN) technology, it is possible to build a sensor node network, but provides real-time information for home security monitoring to the greatest extent. This article compared the home safety monitoring system based on the WSN technology of artificial intelligence (AI) with the traditional home safety monitoring system. The experimental results showed that in the large-scale home environment, the average monitoring accuracy of the traditional home security monitoring system and the home security monitoring system based on the WSN technology of AI was 77.76 and 89.36%, respectively. In the small-scale home environment, the average monitoring accuracy of the traditional home safety monitoring system and the home safety monitoring system based on the WSN technology of AI were 87.63 and 94.43%, respectively. Monitoring accuracy refers to the accuracy of the household safety monitoring system in detecting safety issues. Therefore, the application of the WSN technology based on artificial intelligence to the home safety monitoring system can effectively improve the accuracy of home safety monitoring.

Development of charging technology for new energy vehicles

In the context of a global energy shortage, new energy vehicles are gradually becoming the mainstream trend of future automotive development. The development of fast and safe charging methods will bring a better experience to new energy vehicle users and gradually solve the problem of mileage anxiety for new energy vehicle users. At present, the main charging method of new energy vehicles is wired charging, but this charging mode charging time is slow and due to the external influence of the charging environment, causing the battery to overcharge the cars spontaneous combustion phenomenon, the application of wireless charging and power exchange technology to the future charging technology, wireless charging can bring higher charging efficiency and power exchange technology can bring similar to the fuel car replenishment energy experience. This paper first introduces the meaning of the three charging technologies and analyses their advantages and disadvantages. The three charging methods are described separately for wireless charging technology and compared with each other to arrive at the most suitable for future development. By comparing these three charging technologies, it can be seen that wireless charging technology is more suitable for the development trend of unopened new energy vehicle charging technology, and finally, the difficulties that need to be overcome for the future development of wireless charging are briefly described. This paper has important implications for developing new energy vehicle charging technology and popularizing the use of new energy vehicles.

Application of wireless network technology in the oral English teaching under the background of 5G mobile communication

Application of wireless network technology in the oral English teaching under the background of 5G mobile communication

The application of wireless sensor technology in gymnasium temperature and humidity control system

The main objective of this study on temperature and humidity control in indoor sports halls is to provide an environment that is suitable for the people exercising in the halls and a way to minimize unnecessary sports injuries. The research methods used in this paper are both field monitoring of the environment and online data collection. The paper concludes with a temperature and humidity monitoring network based on a wireless sensor network to detect environmental temperature and humidity and thus achieve a system that can regulate it.

Research on Problems and Countermeasures of the Application of Wireless Sensor Network Technology

With the comprehensive development of science and technology, wireless sensor networks have penetrated into our lives, and make our lives more convenient. Wireless sensor network has been widely used in all aspects of our society. As a new type of information acquisition and processing technology, it can create a more efficient and convenient living or working environment for people. It has an impact on people's lives all the time, making people improve in all aspects, thus making us enter a more efficient era. However, while wireless sensor network technology brings convenience to people, it also exposes many problems. Based on this, this paper analyzes the application and development status of wireless sensor network technology in detail, in order to find out the existing problems and propose corresponding countermeasures, so as to build a better wireless sensor network.

Development of wireless communication demonstration unit on intra-satellite

We have developed a wireless communication demonstration unit called WICS for the engineering test satellite-9 (ETS-9), a Japanese engineering test satellite. After confirming the environmental resistance performance using the engineering model (EM), the proto-flight model (PFM) manufacturing and the environmental test of vibration, thermal vacuum, and electromagnetic compatibility tests were completed without any problems. Compatibility testing with satellite systems is planned for this year, with in-orbit demonstrations planned for 2023 and beyond. Based on the on-orbit demonstration results, we will consider the upper layer design and expand the scope of the application of wireless technology applications in the future.

Radio Channel Measurements and Characterization in Substation Scenarios for Power Grid Internet of Things

Wireless communication technologies play a key role to support the implementation of power grid Internet of Things (PIoT). An in-depth knowledge of the radio channel is vital to the application of wireless communication technologies in PIoT. This paper investigates the radio channel measurements and characterization for PIoT substation scenarios. A novel channel sounder is designed for achieving omnidirectional measurements and phased array antennas based directional measurements, and a directional multipath components extraction algorithm is proposed. The channel sounding system is verified and is used to perform a series of 3.35 GHz omnidirectional and directional channel measurements in four substation scenarios, involving a 10 kV switch room, a 110 kV GIS room, a semi-indoor 110 kV substation and an outdoor 220 kV substation. Based on the measured channel impulse responses data, both large-scale and small-scale fading characteristics of substation channels are extracted and analyzed. Empirical models of path loss, shadow fading, Ricean K-factor and root-mean-square (RMS) delay spread are proposed. In addition, results of RMS angle spread of departure and RMS angle spread of arrival are presented. These results will provide useful reference for the deployment and optimization of wireless communication networks in PIoT substation scenarios.

Wireless Networks of Smart Multisensors and Biosensor Devices for Express Diagnostics of the State of Grape and Fruit-Berry Crops and Quality Control of Winemaking Products

The application of information and wireless technologies, multisensor and biosensor devices, as well as sensor networks based on them to control the parameters of technological processes in different industries makes it possible to greatly improve the quality of final products and reduce losses of raw materials at all stages of production and storage. This covers both the industrial production of consumer goods and the food and processing industry. The article describes the developing and testing of network of wireless smart biosensor devices for food industry, namely for controlling the quality of wine, wine materials and food products in the production process. It is considered the technological process of production of wine materials and wine, as well as parameters that are subject of controlling. The requirements for smart multisensor devices, which are reasonable to use in such technological productions, are formulated. Measuring nodes are built on the basis of amperometric sensors and wireless data transmission units. Structural, functional and principle schemas of measuring devices were developed. The design documentation was created for their production at contract factories. The integration of wireless data transmission units into measuring nodes made it possible to build wireless sensor networks based on them. Several structures of wireless networks were developed on the base of wireless nodes with different functionality and with using of different wireless data transmission protocols. Hardware and software for wireless network nodes were developed. It was fulfilled the testing of the multisensor measuring node in autonomous mode, as well as the whole network consisting of several wireless nodes. The test results showed both the weaknesses of the developed devices, which should be eliminated in further researches, and the reasonability of using smart multisensor devices and networks based on them to control the quality of wine materials and wine at different stages of their production and storage. The work was performed with the support and within the Complex program of scientific research of the National Academy of Sciences of Ukraine "Smart" sensor devices of the new generation based on modern materials and technologies." Keywords: biosensors, amperometric transducers, smart multisensors, wireless sensor network, wine and food quality control.