Communication In Wireless Networks Research Articles

Process Optimization and Die Design of Hydromechanical Calendering Based on Wireless Network Communication and IoT

Aiming at the problem of the study, of high error probability in the practical application of traditional hydromechanical calendering process, the hydromechanical calendering process is optimized based on wireless network communication. GPRS or LORaipot-IOT wireless communication mode is adopted to calculate the impact kinetic energy of hydromechanical calendering, and the simulation model of hydromechanical calendering is built based on AMESim. The characteristics of hydromechanical calendering are analyzed. The oil pressure is controlled by setting the pressure adjusting valve and adjusting the spring pressure to realize the optimization of the hydromechanical calendering process. On this basis, the grinding tool is designed, and the clearance between punch and die is reserved to prevent the blank from cracking. The experimental results show that the error probability of hydromechanical calendering with the optimized design process is significantly lower than that of the control group, which can solve the problem of high error probability of traditional hydromechanical calendering process in practical application and meet the application requirements. Conclusions. Hydraulic mechanical calendering may be used to calendar different plastic materials, with a blank thickness of 0.5-3 mm, according to the technology’s operating principle, test production, and foreign data. Thicker sheets may be calendered with adequate hydraulic pressure. For the form of parts, the optimum effect is that the projectile, cone, etc. section vary from small too big. For the section does not change or smaller parts also have an impact? Some pieces with an interior concave shape and bottom and side stiffeners are difficult to the calendar. Hydromechanical calendering technologies make it easier to create these pieces.

Algorithmic Application of Evidence Theory in Recommender Systems

With the development of wireless network and various communication technologies, the information on the Internet is expanding rapidly. The development of wireless network and various communication technologies has promoted the development of e-commerce, and people can understand a large amount of commodity information without leaving home. However, due to the complex information on the network, users need to pass a lot of screening to obtain the information they want, and a large amount of irrelevant information will cause users to consume a large amount of irrelevant information. To solve these problems, the personalized recommendation system is created, but the recommendation system is recommended according to the characteristics of users’ interest and shopping behavior. However, users’ interests will change, so they need to use other technologies to screen for relevant commodity information. Evidence theory has a strong ability to distinguish between true and false information and to deal with uncertain information. To this end, this article studies the application of the evidence theory in the recommendation system and finds that the evidence theory algorithm can infer the information needed by users based on the uncertain information. Moreover, the experiment in this article proves that the algorithm application of the evidence theory in the recommendation system can well grasp the interests of users and recommend the information needed by users. This improves the efficiency of users to obtain the required information and achieves 80 points for content recommendations.

Study of Intelligent Wireless Network Management in the Context of Artificial Intelligence for the Improvement of Chinese Language Mandarin Test Training Programmes.

One of the most prominent ways of communication between people is through language, which plays a significant role in expressing thoughts. Different ways of expressing a language can be through speech, writing, signing, or gesture. Each country has their own traditional language and they are getting upgraded with technology in a complex environment. The country of China is termed as Chinese and they follow a dialect named Putonghua. Besides this Putonghua, the people follow different dialects, but this Putonghua is considered the official dialect. Also, the Putonghua Proficiency Test is to test the fluency of Chinese-speaking skills. In the traditional system, the test is conducted by the authorities manually. This process will be difficult when multiple people appear for the test, and in some circumstances, complex situations will arise. Hence, technological advancement can be leveraged to simplify the processes. In this research, Chinese language learning and the Putonghua Test were performed with the implementation of the Deep Learning (DL) model. This process involves the design of a DL model for mobile phones and training the model according to the application. Later, the concept is implemented through intelligent wireless network communication for learning and testing of the language. LIDA is implemented in this research work to train the system with DL. The main functionality of LIDA is template matching, which is required for testing the proficiency of the Chinese language by the candidate in PPT. When the new LIDA model is compared to the existing Vector Spaced Model (VSM), it is found that the LIDA achieves 98.67% of the test accuracy.

Smart Grid based Wireless Communication in 5G Network for Monitoring and Control Systems in Renewable Energy Management

Wireless networks are becoming ubiquitous and as the cost of equipment decreases and performance increases, it becomes both economically and technologically feasible to deploy wireless networks in power systems and industrial environments for a wide range of applications. They have advantage of providing diverse controlling features through a unified communication platform. Application of such networks in the smart grid/industrial environments is under active research and expected to become an integral part of the power system. This research propose novel technique smart grid communication in wireless 5G networks for monitoring and controlling management. Here the smart grid designing has been done based on wireless communication networks. The smart grid network for renewable energy has been controlled using Stackelberg equilibrium based SCADA (supervisory control and data acquisition) method. The control method based collected data has been monitored for detection of malicious activities in the network using supervised radial basis fuzzy systems. The experimental analysis has been carried out based on control system and network malicious activities. Here the control system based parameters analysed are Scalability of 65%, QoS of 71%, Power consumption of 41%, Network Efficiency of 92%. Then machine learning based malicious activities detection in terms of accuarcy of 96%, network security of 88%, throughput of 94%, Network delay of 41%. Proposed method supports interoperability of multiple types of inverters, is scalable and flexible, and transmits data over a secure communication channel.

Fractal geometry-based chakra-shaped microstrip patch antenna array for vehicular communications under 5G environments

ABSTRACT In this paper, fractal geometry-based two-printed antenna structures are proposed for vehicular communication in 5G wireless communication networks. Initially, a 48 × 39 mm2 single element fractal patch antenna is designed and tested which shows dual-band resonance at around 28.1 and 32.5 GHz. In order to improve different antenna characteristic number of fractal radiating elements have been increased to four and constructed an array of patches such that it can be used for multiple applications in the field of vehicular communications. The proposed array model is fabricated on a Rogers RT duroid 5880tm material of size 115 × 82 mm2 and tested using Agilent Technologies N5247A VNA. The measured results confirm the validity of the designed model for intended applications. The proposed array antenna operates at distinct quintuple bands in the frequency range of 25–36 GHz for vehicular communication within the proposed lower fifth generation (5G) channel. The proposed array configuration shows a good peak gain of 6.72 dB within the operating bands.

Bayesian Networks based approach to enhance GO methodology for reliability modeling of multi-state consecutive-k-out-of-n: F system

As a success-oriented system reliability and safety analysis technique, GO methodology is widely used in the modeling and analysis scenarios of critical safety engineering systems with signal flow, such as nuclear, chemical industry, electric power transportation, wireless network and microwave communication network. Consecutive-k-out-of-n systems are also widely applied in these fields, but due to their relatively complex logic, there are no corresponding graphical modeling and calculation methods. In this paper, the basic GO methodology is extended to support the modeling and analysis of multi-state linear and circular consecutive-k-out-of-n: F system (MLC(k,n) &MCC(k,n)) models. Two new operators are defined in graphical modeling to represent the two types of complex system logic. The multi-state logic semantics of the new operators and mapping rules to Bayesian networks (BN) are given. And the programmable process is presented to transform the extended GO model into BN, and the reliability of the MLC(k,n)/MCC(k,n) is calculated. Finally, three cases are used to verify i) the correctness of the method supporting multi-state model, ii) the efficiency and ability of the algorithm, and iii) the forward calculation and reverse diagnosis of the MLC(k,n) and MCC(k,n) systems with external shared components.

Time dependency: an efficient biometric-based authentication for secure communication in wireless healthcare sensor networks

Time dependency: an efficient biometric-based authentication for secure communication in wireless healthcare sensor networks

Integrating Sensing, Computing, and Communication in 6G Wireless Networks: Design and Optimization

The roll-out of various emerging wireless services has triggered the need for the sixth-generation (6G) wireless networks to provide functions of target sensing, intelligent computing and information communication over the same radio spectrum. In this paper, we provide a unified framework integrating sensing, computing, and communication to optimize limited system resource for 6G wireless networks. In particular, two typical joint beamforming design algorithms are derived based on multi-objective optimization problems (MOOP) with the goals of the weighted overall performance maximization and the total transmit power minimization, respectively. Extensive simulation results validate the effectiveness of the proposed algorithms. Moreover, the impacts of key system parameters are revealed to provide useful insights for the design of integrated sensing, computing, and communication (ISCC).

Finite Blocklength Covert Communications in Interweave Cognitive Radio Networks

This letter investigates finite blocklength covert communications in interweave cognitive wireless networks. Based on our current knowledge, this letter formulates an analytical model of interweave finite blocklength covert communications for the first time. First, under the condition that each channel use in a block satisfyies the independent and non-identical distribution, we derive the KL divergence between two distributions corresponding to null hypothesis <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${\cal H_{0}}$ </tex-math></inline-formula> and alternative hypothesis <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${\cal H_{1}}$ </tex-math></inline-formula> , and obtain the KL divergence in the considered scenario. Then, we formulate an optimization problem to maximize effective throughput and obtain the optimal transmit power and transmission blocklength, revealing the tradeoff between covert transmission and sensing. In contrast to many existing results, our examination shows that the optimal transmission blocklength is not the maximum, which is optimal in the finite blocklength covert communications system.

Circularly polarized wearable antenna with low specific absorption rate and high gain based on artificial magnetic conductor

Aiming at wearable electronic equipment in wireless body area network communication, we propose a circularly polarized wearable antenna based on artificial magnetic conductor (AMC) for the problem of unreliable data transmission of linearly polarized wearable antenna and reduction of transmission distance due to the low gain of antenna. The AMC of in-phase reflection reflects the backward radiation to the top to reduce the damage of the antenna to human body. And the polarization direction of the reflected wave reflected through AMC is the same as that of the main direction, which makes the radiation performance of the antenna improved. Meanwhile, the antenna is flexible and lightweight due to the use of flexible polyimide and graphene films as the substrate and conductor materials. The antenna was also simulated and the prototype was fabricated and tested. The simulation results show that the working bandwidth covers 2.4–2.48 GHz, and the peak gain is 8.09 dBi. The peak specific absorption rate of 1 g and 10 g of human tissue at an input power of 350 mW is 1.48 W kg−1 and 0.65 W kg−1, respectively, which meets the safety standards.

A modified graywolf‐basedchameleon swarm algorithm for minimizing energy consumption and enabling secure communication in wireless sensor network

SummaryThe efficiency and security of WSNs are improved by designing multiple lightweight cryptographic techniques and a 6LoWPAN protocol, depending on resource utilization and a reasonable amount of energy. This is still caused by constraints such as power resource management, authentication, key management, and flexibility protocols. To address these challenges, a novel approach called the modified gray wolf‐based chameleon swarm (MGW‐CS) algorithm is presented to select the cluster heads from WSN nodes. The MGW‐CS algorithm is an amalgamation of both improved gray wolf optimizer and chameleon swarm algorithm. During cluster head selection, the QoS parameters such as network lifetime, energy efficiency, and throughput and packet delivery ratio are improved and optimized. By presenting a lightweight and flexible cryptographic model to manage encryption complexities, the encryption parameters are automatically selected based on the currently available resources of each sensor node for data encryption. Among various WSN nodes, data exchanging and secure communication are established with the development of novel authentication and a lightweight key management model. The proposed model is implemented using the NS‐2 software. The proposed methodology offers a packet delivery rate of 98.6% for a total of 500 nodes when compared to the different state‐of‐art techniques.

Zigbee-Based Low Power Consumption Wearables Device for Voice Data Transmission

Short-range wireless technologies can transmit real-time voice, audio, picture, and video communications. Such networks’ energy usage and transmission reach are crucial, especially for portable and power autonomous devices. Voice over Zigbee technology’s goal is to create a competitive service that excels in these performance factors. IEEE standard 802.15.4 specifies two layers for low-rate WPANs: the physical layer and the media access control layer, with a data rate limit of 250 kbps. This partnership used low-level PHY and MAC layers as the foundation for developing the Zigbee network protocol, security, and applications. To overcome the problem of lowering costs and power usage to make this technology more accessible to the general public. This system displays the network’s operational data, such as wireless voice communication. This effort was made to minimize the overall cost of manufacturing such gadgets that contribute to home automation systems and related projects. The primary goal of the research was to communicate voice through low-power microcontrollers such as 8-bit microcontrollers using Zigbee. In this study, we developed a wireless sensor network (WSN) communication system based on Zigbee to securely transfer speech data over a medium-range distance (medium) and lower the equipment cost and communication expenses by 30% without compromising the data integrity. A testbed has been established to validate the fundamental functionality of the proposed ZigBee-based home network system. The suggested system’s network coverage capabilities were evaluated, as well as its packet loss and energy savings in long-term wireless network monitoring duties.

Application of wireless network communication technology in interior decoration system and Commercialization of hospital buildings

In view of the low accuracy of signal perception caused by unbalanced task allocation of high-rise hospital building interior decoration system, a high-rise building interior decoration system is designed based on wireless network communication technology. Hardware part: the terminal node based on STM32 MCU is connected with the environment sensor, and the BC35-GNB-IOT communication module is set to ensure the anti-interference of the link. In the software part, the angular power spectrum is used to establish the indoor communication scene classification model of high-rise hospital buildings, the task is divided into several sub-tasks according to the time complexity, and the wireless network is used to realize the dynamic scheduling of tasks. The indoor environment sensing algorithm is designed to detect the performance of cyclostationary signals. It shows that the sensing accuracy of the system designed in this paper is higher than that of the system without a wireless network, which has good robustness and can improve the service quality of indoor environmental monitoring.

Terrorist Distinguishment with Military Personnel on Attack in Air base Camps – 3 Chamber Approach: Using Real Time Monitoring – Arduino Sensor Detectors, Iris Recognition System &amp; Wireless Communicating Nodes Deployed

The security in the air base camps containing the nuclear assets and aircrafts has become a concern after interagency attacks from neighbouring countries. Manned Approach has proven to be of less efficiency in previous attacks. The research proposed 3C Chamber approach which is to be embedded into unmanned drones that will fly in the sky and recognise the terrorist intergencies. 1st chamber constitutes the 3 sensors connected with Arduino named EMAX 5300 which detects the explosives , DHT11 which is used to catch the humidity and body temperature of the running terrorists in the base camps and OV7670 is the Image sensor which will give the clear image and send to the second chamber which deals iris recognition with the image data so obtained and third chamber is basically the communication chamber that contains the database and deals with regional clusters in wireless communications , localisation of suspect area through network topology so mentioned in the later paper in form of clusters , alarm dissemination phase and to be time efficient we have time synchronisation in the third chamber. All the 3 chambers work simultaneously being connected to each other and respond to the centralised node with deals with action &amp; response. In the second chamber experiment is carried out with UBRIS.V1 database and OpenCv with Training : Testing ratios as 60:40, 50-50, 40-60 – the accuracy came out to be approximately 96.54%. Pre-registration phase involves the registration of the military personnel and later this data is retrieved and matched to catch and differentiate terrorists which is the main issue and concern of the research. The research is a combination of Biometrics , electronic sensors – internet of things , wireless network communication

Energy-efficient resource management for CCFD massive MIMO systems in 6G networks

This paper presents a co-time co-frequency full-duplex (CCFD) massive multiple-input multiple-output (MIMO) system to meet high spectrum efficiency requirements for beyond the fifth-generation (5G) and the forthcoming the sixth-generation (6G) networks. To achieve equilibrium of energy consumption, system resource utilization, and overall transmission capacity, an energy-efficient resource management strategy concerning power allocation and antenna selection is designed. A continuous quantum-inspired termite colony optimization (CQTCO) algorithm is proposed as a solution to the resource management considering the communication reliability while promoting energy conservation for the CCFD massive MIMO system. The effectiveness of CQTCO compared with other algorithms is evaluated through simulations. The results reveal that the proposed resource management scheme under CQTCO can obtain a superior performance in different communication scenarios, which can be considered as an eco-friendly solution for promoting reliable and efficient communication in future wireless networks.

Textile Via-Loaded Bandwidth-Enhanced Half-Mode Substrate-Integrated Cavity Antenna for WLAN Communications

A textile via-loaded bandwidth-enhanced half-mode substrate-integrated cavity (HMSIC) antenna is presented in this article for wireless local area network (WLAN) communications. A strategy for adding shorting vias within the cavity is proposed based on the simulated <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${E}$ </tex-math></inline-formula> -field distributions of different modes of the HMSIC antenna. More specifically, the number and positions of vias are studied for maximum shift of lower resonance ( <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\rm TM_{1,1,0}^{HM}$ </tex-math></inline-formula> mode) so that it merges with higher resonance (rotated <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\rm TM_{2,2,0}^{HM}$ </tex-math></inline-formula> mode) to achieve a wide 10 dB return loss impedance band. Two prototypes of the designed structure are realized using textile manufacture techniques. A first realization uses embroidered sidewalls to create the cavity and metallic rivets for the shorting vias, and a second prototype uses embroidered vias and a stripline feed. The proposed antenna can operate from 5.09 to 5.9 GHz with a fractional bandwidth of 14.7% according to measurements. The simulated radiation efficiency is above 95% in free space and 82% when worn on the human body in the 5 GHz WLAN band (5.15–5.825 GHz).

Fifth Generation Mobile Communication Technology Network Attack Defense Based on Software Defined network Technology in Power Internet of Things

The purpose is to guarantee the security of fifth generation mobile communication technology (5G) network in power Internet of Things environment and improve the ability of wireless network communication to resist attacks. First, in terms of attack prevention, the 5G network security structure is proposed to replace the plaintext information commonly used in the original system with Ciphertext based on software defined network (SDN), thereby alleviating the security risks of the data dimension. Second, concerning attack detection, the signal is identified by using the imperfections and differences of equipment manufacturing based on the above security structure, preventing the attacker from further harming the sensitive data leaked. Researchers found that the SDN-based 5G network attack prevention scheme avoids the centralized exposure of sensitive data, improves security, reduces computational overhead, and simplifies encryption logic. Without affecting the bandwidth, the existing 5G network system is greatly prevented from attacks. The detection mechanism is not limited by the low-dimensional feature space, and it demonstrates strong robustness and stability. It can effectively detect the attacks on 5G network system in power Internet of Things (IoT). This study provides an important reference for the protection of 5G communication network attacks under IoT.

A new fuzzy logic approach for reliable communications in wireless underground sensor networks

A new fuzzy logic approach for reliable communications in wireless underground sensor networks

Metro Engineering Project Schedule Optimization Based on Wireless Network Communication and BIM Model Algorithm

BIM (Building Information Modeling) is to create models based on various related information in construction projects and use simulation virtual technology to model actual building information. It is not only the integration of digital information but also the application of digital information in engineering construction. Digital models can be used to plan and simulate the whole process of construction projects scientifically and accurately. In the process of project construction, wireless network communication technology can provide a good basis for collaboration, which is essential for the control of project progress, task scheduling, and systematic communication between all parties. This article introduces the LTE wireless network communication technology and network coverage plan, summarizes the cost and schedule control principles of construction projects, analyzes the factors that affect the construction schedule in subway construction, and introduces the application of BIM technology in subway construction schedule control. Taking the construction of Section XX of Line 1 of City A as an example, a simulation experiment was carried out, and the optimization effect was evaluated with SPI and CPI indicators. The final experimental results show that it is meaningful to use the BIM model algorithm to optimize the subway project. In the simulation experiment, the corresponding construction period saving rate after completion of the project is 6.94%.

Research on AGV trackless guidance technology based on the global vision.

With the change of manufacturing mode and the progress of science and technology, the traditional manufacturing industry has gradually developed to intelligent manufacturing and flexible manufacturing. To achieve factory transformation, Automatic Guided Vehicle (AGV) is indispensable. In this paper, an AGV trackless guidance technology based on global vision is proposed. Firstly, the global vision camera is used to obtain the image of the AGV driving area, and then the obstacle information and position information of the AGV are obtained by image processing technology. Secondly, the A* algorithm is used to intelligently plan the AGV driving path, and the wireless network communication is used to control the AGV driving according to the planned path. Experiments show that the method is feasible and has the advantages of high flexibility, high precision, low cost and strong expansibility, which is of great significance to the realization of intelligent warehouse and unmanned chemical plant.