Wireless Internet Technology Research Articles

The Past, Present, and Future of the Internet: A Statistical, Technical, and Functional Comparison of Wired/Wireless Fixed/Mobile Internet

This paper examines the quantitative and qualitative situation of the current fixed and mobile Internet and its expected future. It provides a detailed insight into the past, present, and future of the Internet along with the development of technology and the problems that have arisen in accessing and using broadband Internet. First, the number of users and penetration rate of the Internet, the various types of services in different countries, the ranking of countries in terms of the mean and median download and upload Internet data speeds, Internet data volume, and number and location of data centers in the world are presented. The second task introduces and details twelve performance evaluation metrics for broadband Internet access. Third, different wired and wireless Internet technologies are introduced and compared based on data rate, coverage, type of infrastructure, and their advantages and disadvantages. Based on the technical and functional criteria, in the fourth work, two popular wired and wireless Internet platforms, one based on optical fiber and the other based on the 5G cellular network, are compared in the world in general and Australia in particular. Moreover, this paper has a look at Starlink as the latest satellite Internet candidate, especially for rural and remote areas. The fifth task outlines the latest technologies and emerging broadband Internet-based services and applications in the spotlight. Sixthly, it focuses on three problems in the future Internet in the world, namely the digital divide due to the different qualities of available Internet and new Internet-based services and applications of emerging technologies, the impact of the Internet on social interactions, and hacking and insecurity on the Internet. Finally, some solutions to these problems are proposed.

Research on the Performance Strategy Choice of Low-carbon Operation of Tourism hotels from the Perspective of Network Management

The application of performance strategy selection in the low-carbon operation of hotels has gradually improved the operation level and made low-carbon operation management the focus of tourism hotel research. Due to the complexity of the process of low-carbon operation, the traditional performance strategy selection method cannot solve the problems of large data volume and complex data structure, and the operational performance management effect is poor. Therefore, this paper analyzes the selection of operational performance strategies from the perspective of network management. Wireless internet technology and low-carbon evaluation system are used to set the parameters of strategy selection, and the operational performance strategy is transformed. Then, the low-carbon operation effect is verified according to the performance evaluation system, and the parameters of the operational performance strategy are finally obtained. The results of strategy selection show that from the perspective of network management, the selection accuracy of low-carbon operational performance strategies of tourism hotels is greatly improved, which can meet the needs of actual operation strategies.

Development of a concept for cybersecurity metrics classification

The development of the IT industry and computing resources allows the formation of cyberphysical social systems (CPSS), which are the integration of wireless mobile and Internet technologies and the combination of the Internet of things with the technologies of cyberphysical systems. To build protection systems, while minimizing both computing and economic costs, various sets of security profiles are used, ensuring the continuity of critical business processes. To assess/compare the level of CPSS security, various assessment methods based on a set of metrics are generally used. Security metrics are tools for providing up-to-date information about the state of the security level, cost characteristics/parameters from both the defense and attack sides. However, the choice of such sets is not always the same/understandable to the average person. This, firstly, leads to the absence of a generally accepted and unambiguous definition, which means that one system is more secure than another. Secondly, it does not take into account the signs of synergy and hybridity of modern targeted attacks. Without this knowledge, it is impossible to show that the metric measures the security level objectively. Thirdly, there is no universal formal model for all metrics that could be used for rigorous analysis. The paper explores the possibility of defining a basic formal model (classifier) for analyzing security metrics. The proposed security assessment model takes into account not only the level of secrecy of information resources, the level of provision of security services, but also allows, based on the requirements put forward, forming the necessary set of security assessment metrics, taking into account the requirements for the continuity of business processes. The average value of the provision of security services to CPSS information resources is 0.99, with an average value of the security level of information resources of 0.8

An Application of English Reading Mobile Teaching Model Based on K-Means Algorithm

The rapid development and maturity of emerging technologies such as mobile Internet and artificial intelligence have had a subversive impact on all aspects of teaching, and mobile learning has become the normal learning of students. Educational technology has developed from traditional technology and ordinary media technology to multimedia information network technology. Personal computers and wired networks have been more and more widely used. Wireless communication technology and mobile Internet technology of mobile computing devices will be popularized, and the trend from digital learning to mobility will be more and more obvious. This study uses the k-means algorithm to analyze the English reading performance, finds out the factors affecting the test performance, provides guidance for improving the pass rate of CET-4, and focuses on the rise of mobile learning under this background and its specific application in English teaching. The experimental results show that 39 students (55%) believe that mobile reading learning provides rich and real reading materials, can obtain real and authentic language input, and increase their interest in English reading. 31 students (44%) believed that the learning model was helpful to enhance autonomous learning ability. Therefore, one of the biggest advantages of this clustering algorithm is that it has high scalability and efficiency in the processing of large data sets. The mobile teaching model of English reading based on the k-means algorithm can more effectively promote the interaction of English reading teaching and improve students’ English text reading comprehension ability than the traditional teaching model. In addition, it can promote students’ active learning and cultivate students’ awareness of autonomous learning and cooperation.

Biological Effects of Non-Ionizing Electromagnetic Fields at 27 GHz on Sperm Quality of Mytilus galloprovincialis

Recently, an increasing use of wireless internet technologies has been demonstrated. The devices which use these technologies emit in new spectral regions an electromagnetic radiation (EMF) which could interact with the male reproductive system. The aim of this study was to investigate in vitro the effect of electromagnetic fields at 27 GHz on sperm quality in Mytilus galloprovincialis. Sperm samples were collected from sexually mature males of M. galloprovincialis and placed in seawater. Once we evaluated the number and quality of spermatozoa, sperm cells were exposed to electromagnetic fields radiated by a pyramidal horn antenna. The effect of exposure was evaluated after 10, 20, 30, 40 and 60 min by a light microscope and using an Eosin test. Ten replications were performed for each time series, and statistical analysis was carried out by t-test. Sperm motility decreased after 10 min of exposure, and after 30 min most of the spermatozoa were immobile and not vital. This study provides useful data on the potential ecological impact of the high-band 5G on animal fertility, the effect of which is currently under investigation.

Optimization of Music Teaching Management System for College Students Based on Similarity Distribution Method

This paper puts forward a method of similarity distribution and applies it to music teaching management system. We use Java language, using JavaME development platform to complete the basic information management, music homework management, music practice management, online classroom management, information notification management, and other modules of the technical implementation. The system uses mobile learning system to provide a convenient learning platform for learners. However, student users can only view the course information in the system. To allow students to know the course change information more quickly when teachers update course information, the system implements the course information update reminder function. Compared with the existing music teaching system, the music teaching system based on Android adopts wireless Internet technology, which is more suitable for the daily habits of today’s college students and makes full use of the fragmentary time, which is conducive to improving their learning efficiency and stimulating students’ interest in learning.

Quantitative Analysis of the Impact of Wireless Internet Technology on College Students’ Innovation and Entrepreneurship under the Background of “Internet Plus”

Under the background of “Internet plus,” the opportunities and challenges that college students face in the process of innovation and entrepreneurship coexist. College students should make full use of the powerful function of the Internet to excavate the huge business opportunities hidden under the background of “Internet plus.” In the context of “Internet plus” of mass entrepreneurship and innovation, the quantitative analysis method is studied in the context of wireless network technology on college students’ innovation and entrepreneurship. This paper proposes a combined weight model and an evaluation model based on genetic fuzzy optimization neural network. This research initially establishes an evaluation index system (EIS) by analyzing the influence factors of wireless network technology on college students’ innovation and entrepreneurship. In addition, EIS is also analyzed by combining the objective weight of each index obtained by the entropy with the subjective weight of each index obtained by the analytic hierarchy process to construct a combined weight model. A genetic algorithm is used to optimize fuzzy optimization neural networks and establish an evaluation index system of wireless network technology based on genetic fuzzy optimization neural network. To minimize the output error, the function of output error is used as the fitness evaluation function to output the score after several iterations. The experimental results show that the evaluation model can determine the importance of the influencing factors of wireless network technology on college students’ innovation and entrepreneurship. It is further evident from the experiments that the proposed model has high accuracy, with the average relative error always less than 1%, which can further improve the effect of quantitative analysis. The proposed model also has a fast convergence speed that can prevent local minima.

Information Redlining: The Urgency to Close the Digital Access and Literacy Divide and the Role of Libraries as Lead Interveners

This article positions equitable access to information as a matter of social justice and questions how the library and information science sector might work more intentionally and systemically to close the pervasive information retrieval and navigation gaps that disproportionately disenfranchize lower-income and/or majority Black, Indigenous, and People of Color (BIPOC) communities. Though much attention since the beginning of the coronavirus pandemic in 2020 has rightfully been paid to the need for more robust broadband infrastructure in the United States, this article links the persistent disparities in digital literacy instruction, possession of digital devices, and access to consistent wireless internet technology as critical and profoundly race and class-biased components of connectivity. Hall describes the intentional/unintentional lack of recognition or inaction regarding whole groups of people being denied this access as “information redlining,” and suggests that not only can libraries play a leading role in disrupting it, but also that libraries are the essential link in any comprehensive national response.

Bivariate Regression Adaptive Wald’s Boost Energy Aware Routing for Wsn with IoT

WSN is a wireless network where the low powered devices known as sensor nodes which are deployed over the network to measure the environmental conditions. IoT is a model that connects WSN and the Internet through a medium depends on wireless Internet technology sensors. However, the large-scale acceptance of WSN for IoT is still facing the major challenges of routing. In order to improve the routing in WSN, an efficient technique called Bivariate Regressed Adaptive Wald’s Boost Energy Aware Routing (BRAWBEAR) is introduced. The main aim of BRAWBEAR technique is to improve the data delivery with minimum delay as well as routing overhead. Initially, the energy of the each sensor nodes is measured to improve the energy efficient routing in WSN. The Adaptive Wald’s Boost ensemble technique initially comprises the weak learners as a bivariate regression tree with the training samples as sensor nodes. The regression tree analyzes the node energy level with the threshold and categorizes the node into two classes such as higher energy and lesser energy. The Adaptive Wald’s Boost ensemble technique combines the weak learner results into make a strong one resulting increases the accurate sensor node classification with minimum error. After that, the route path discovery is carried out with the higher energy nodes and the sensor nodes with lesser energy are removed. The source node finds the neighboring energy efficient node by applying the time of arrival method. Then the route path is established from source to sink node via neighboring nodes. Followed by, the data packets are transmitted along the route path. Finally, the route maintenance is carried out when the link failure occurs by selecting the alternative energy efficient neighboring node to improve the data packet delivery with minimum time. The performance of the proposed BRAWBEAR technique is estimated using the metrics namely, energy consumption, packet delivery ratio, routing overhead, throughput and end to end delay. The comparative results discussion provides the improved performance in terms of minimum routing overhead and higher packet delivery as well as minimum energy consumption than the other well-known routing methods.

Improved Reliability of Voice over Internet Protocol(VoIP) using Machine Learning

Start Voice over Internet Protocol (VoIP) is the communication means inspired with the revolutionizing wireless internet technology to transfer voice signals. However, VoIP over wireless means faces several challenges in terms of data loss resulting in poor voice quality or communication delay. To deal with the practical aspects of voice communication over Internet Protocol(IP) we proposed a highly secure wireless network. The proposed VoIP as a secure wireless network for VoIP combines the advantage of Artificial Bee Colony (ABC) based network optimization based on node property. This is followed by implementation of two classifiers; Support Vector Machine (SVM) that identifies the affected route and Convolutional Neural Network (CNN) that detects the malicious nodes present in the affected route to offer secure data transmission. The quality of voice communication is evaluated in terms of dropped packets, delay and jitter to offer interactive communication service. The simulation analysis over 50 nodes had proved the effectiveness in achieving reliable quality voice calling service with average throughput of 98.65% with comparatively lower jitter, packet loss and latency of 2.325 ms, 1.35% and 1.616 ms, respectively.

Research on the Cultural Shaping and Value Realization Path of Digital Media Art Based on Multimedia Technology

With the development of computer multimedia technology and the application of wireless Internet technology, digital media art is a new art form constantly creating new miracles in the art field. Although many traditional artists still have doubts about the artistic expression of digital media, but it can’t stop digital media showing its pride in the new media and art platforms. Based on digital technology and modern media, this new art form combines perceptual thinking with rational thinking. At the beginning of the digital media birth, it showed extraordinary cultural charm and artistic tension. This paper mainly studies the cultural shaping and value realization of digital media art, and the goal is to promote the value of digital media.

Security of Internet of Things using RC4 and ECC Algorithms (Case Study: Smart Irrigation Systems)

Internet of Things (IoT) deploys a wide range of technologies including wireless sensor networks, machine-to-machine communication, robots, internet technologies, and smart devices. IoT is a novel phenomenon in the IT world wherein objects can transmit data, and interact through the internet or intranet networks. But the most important and crucial issue on the IoT is privacy and data security. The objective of this paper is to create a new encryption model for data storage servers in an IoT-based irrigation systems. Thus, a hybrid encryption algorithm based on Elliptic Curve Cryptography (ECC), RC4, and SHA-256 is proposed to protect sensitive data of IoT-based irrigation systems. The proposed model uses ECC to improve RC4. In RC4, XOR operation is performed using a key encrypted by ECC and shift-right, and then the resulting data are transformed to SHA-256 to ensure security. Simulation results indicate that encryption and decryption time in the proposed model are shorter than other models like XXTEA & ECC, XXTEA & RSA, ECC&3DES&SHA-256, RC4&3DES&SHA-256, AES&RC4&SHA-256, AES&3DES &SHA-256, RC4&AES&SHA-256, RC2&3DES&SHA-256, and ECC&RC2&SHA-256 with, 43.39%, 66.03%, 45.28%, 54.71%, 50.94%, 33.96%, 33.62%, 24.52%, and, 15.09% respectively.

Design of smart laboratory management system based on cloud computing and internet of things technology

In view of the backward and low efficiency problems of laboratory instruments and equipment management and laboratory environmental monitoring in Colleges and universities, by analyzing the traditional management mode and method of the laboratory, based on cloud computing platform of Sichuan University of Science & Engineering and radio frequency identification, wireless sensor network, Internet and other technologies, the construction scheme of the laboratory instrument and equipment management platform was designed. The system architecture, system topology, software functions have been designed. The system is applied to the management of scientific research and teaching laboratories in Colleges and universities, improving the efficiency of supervision and utilization of equipment, and precisely maintaining the life cycle of equipment.

Application Technology of Wireless Computer Network in Intelligent Driving

With the continuous development of wireless network and Internet technologies, research on the application technology of wireless computer networks in intelligent driving has also entered the blowout development stage. The purpose of this paper is to study the application technology of wireless computer networks in intelligent driving. This paper also proposes an optimization solution for wireless vehicle networking in view of the many disadvantages of the traditional traffic law enforcement management system. This article first briefly introduces the concepts of the Internet of Things, the Internet of Vehicles, and wireless systems, analyzes the necessity and feasibility of the fusion of the two technologies, and then proposes a framework for the integration of wireless computer network technology and Internet of Things technology. Various innovative applications of the Internet of Vehicles based on this architecture in intelligent transportation are analyzed and demonstrated. Wireless networked car networking has demonstrated its superiority to a certain extent in the application of several special scenarios, alternative analysis of ETC systems, and optimization of traditional traffic law enforcement management. At the end of this paper, a GA algorithm based on wireless networked vehicle networking applications is proposed. Through the results of the algorithm, it is concluded that the system performance and economic performance of wireless vehicle networking are superior. According to the experimental results, the system developed in this paper can not only solve the vehicle congestion situation, but also reduce the occurrence of traffic accidents.

Does the Use of Mobile Phone Affect Male Fertility? A Mini-Review.

Presently, there is a rise in the use of mobile phones, laptops, and wireless internet technologies such as Wi-Fi and 5G routers/modems across the globe; these devices emit a considerable amount of electromagnetic radiation (EMR) which could interact with the male reproductive system either by thermal or nonthermal mechanisms. The aim of this review was to examine the effects of mobile phone use on male fertility. Related studies that reported on the effects of EMR from mobile phones on male fertility from 2003 to 2020 were evaluated. PubMed database was used. The Medical Subject Heading system was used to extract relevant research studies from PubMed. Based on the outcomes of both human and animal studies analyzed in this review, animal and human spermatozoa exposed to EMR emitted by mobile phones had reduced motility, structural anomalies, and increased oxidative stress due to overproduction of reactive oxygen species. Scrotal hyperthermia and increased oxidative stress might be the key mechanisms through which EMR affects male fertility. However, these negative effects appear to be associated with the duration of mobile phone use.

Key Management Scheme for Internet of Things Using an Elliptic Curve

With the advancements in wireless internet technology, a new computing ecosystem, the Internet of Things(IoT), has ushered in numerous devices in many areas in our life as well as in industries. The IoT is a computing notion that describes a scenario in which objects we use everyday are accessible using the internet and can be controlled from anywhere (Kung, Y.F., et al., 2018. Home Monitoring System Based Internet of Things. 2018 IEEE International Conference on Applied System Invention (ICASI), April; IEEE. pp.325–327; Singh, S. and Singh, N., 2015. Internet of Things (IoT): Security Challenges, Business Opportunities and Reference Architecture for E-Commerce. 2015 International Conference on Green Computing and Internet of Things (ICGCIoT), October; IEEE. pp.1577–1581). It could comprise devices with sensors to gather and broadcast data over the Internet (Singh, S. and Singh, N., 2015. Internet of Things (IoT): Security Challenges, Business Opportunities and Reference Architecture for E-Commerce. 2015 International Conference on Green Computing and Internet of Things (ICGCIoT), October; IEEE. pp.1577–1581). As per report of the research firm Gartner, the number of IoT objects will surpass 11.2 billion by 2018, and 20.4 billion by 2020. By 2020, the IoT industries will make revenue of almost 3 trillion US Dollars. As IoT devices are largely used in various areas of importance, it will definitely bring a lot of interests to hackers. It is worthwhile to quote here that hackers took away more than Rs 78 crore by hacking into router of Cosmos Bank based in Pune by duplicating debit cards in August, 2018. They carried out about 12 thousand unethical transactions worth Rs 78 crore in 28 countries. Hence, it is necessary to consider data privacy so that we can protect the data with limited system resource and technology. This paper proposes a new key management scheme with entity authentication for IoT devices. The proposed scheme uses modified Tate pairing. The presented scheme is apposite for IoT devices such as sensor networks due to their lower computational requirements.

Review of the D2D Trusted Cooperative Mechanism in Mobile Edge Computing

Mobile edge computing (MEC) effectively integrates wireless network and Internet technologies and adds computing, storage, and processing functions to the edge of cellular networks. This new network architecture model can deliver services directly from the cloud to the very edge of the network while providing the best efficiency in mobile networks. However, due to the dynamic, open, and collaborative nature of MEC network environments, network security issues have become increasingly complex. Devices cannot easily ensure obtaining satisfactory and safe services because of the numerous, dynamic, and collaborative character of MEC devices and the lack of trust between devices. The trusted cooperative mechanism can help solve this problem. In this paper, we analyze the MEC network structure and device-to-device (D2D) trusted cooperative mechanism and their challenging issues and then discuss and compare different ways to establish the D2D trusted cooperative relationship in MEC, such as social trust, reputation, authentication techniques, and intrusion detection. All these ways focus on enhancing the efficiency, stability, and security of MEC services in presenting trustworthy services.

Design of a human-body health monitoring system based on Android

With the development and integration of modern medical technology, sensor technology, wireless Internet technology and intelligent analysis technology, real-time human health monitoring technology has already had the practical application conditions. Currently existing health monitoring systems are mostly monitoring systems for single health indicators, and the storage and analysis and mining of historical data are not perfect. In order to monitor the body’s body temperature, blood pressure, blood glucose and pulse and other health parameters in real time, a human-body monitoring system based on Android was designed. The system uses mobile devices as display terminals for real-time data to monitor human physiological parameters. The system to achieve the contents include: intelligent mobile application software, demand data processing server and the remote database which stores monitoring data. The software is simple to operate and intelligent and mobile, suitable for human health monitoring of individuals, families and communities and plays an important role in the prevention and monitoring of physiological parameters such as body temperature, blood pressure, blood glucose and heart rate. The experimental results show that the human health monitoring system can realize the real-time view of the current health monitoring data, the storage of historical health monitoring data, and the rationalization advice given after analyzing and processing the human health monitoring data.

A development of ubiquitous learning support system based on an enhanced inquiry-based learning approach

With the popularisation of broadband and wireless Internet technologies, researchers have attempted to develop mobile device-based learning systems to enable students to seamlessly learning in anywhere and anytime through internet network connections. However, it is difficult for teachers to provide the manner for asking students to share explanations with peers. To cope with this issue, this study proposes an enhanced inquiry-based learning approach for eliciting and sharing knowledge from students' investigation of a problem or task. Based on the proposed approach, a ubiquitous learning support system has been implemented in a web-programming course; moreover, an experiment was conducted on university students to evaluate the performance of our approach. By analysing the results from the two groups of students participating in the different systems, it was found that the proposed approach effectively enhanced the students' learning achievement and promoted positive perception toward the system. Furthermore, the proposed approach benefited both male and female students in the terms of learning achievement and perceptions.

Efficient and Provably Secure Distributed Signing Protocol for Mobile Devices in Wireless Networks

Rapid advances in wireless communications, hardware/software, and Internet technologies have contributed to an exponential growth in the number of users accessing the Internet using mobile, wearable or other Internet of Things devices. Identity-based signature schemes have been widely applied to enforce user authorization and validate user messages in mobile wireless networks. However, the user’s private key used to generate signatures is prone to leakage because the key is being stored on the mobile device. Several ( t, n ) threshold secret sharing schemes have been proposed to address the issue. One limitation is that the private keys in most of those schemes have to be recovered on a single device when generating signatures, so that the user who holds the device can sign any message without the participation of other users. To address the recovery limitation, we propose an efficient and secure two-party distributed signing protocol for the identity-based signature scheme in the IEEE P1363 Standard, where two users can generate a valid signature without recovering the whole private key. We formally prove its security under a nonstandard assumption. We also implemented our proposed protocol using the MIRACL Cryptographic software development kit. The experimental results obtained show that the time it takes for two general Android devices to generate a signature is about 709.53 ms.