Transfer Learning-powered Resource Optimization for Green Computing in 5G-Aided Industrial Internet of Things

The future of humanity is dependent upon the IOT(Internet of things) and 5G network, which means most of the machine and mobile phones and devices are operating through the IOT(Internet of things) and to transfer the data from one port to another port through the 5G network and it is seen that it play an very crucial role in this area. To use this IOT(Internet of things) have to create an advanced intelligent environment into the world which is running through the human command, voice like example amazon ALEXA device, most of AC system which operated with the phone and audio. When a large number of the device is operated with some device then some large number interaction between the heterogonous device and increase the demand like strong connection, exceptionally high data throughput, low latency, creating applications that play critical roles in IOT(Internet of things), as a result of this need 5G technology is an important facilitator for IOT(Internet of things) technology. this work gives all the theoretical information about the IOT(Internet of things) and 5G technology, also give the detail that how the technology is changing day by day due to this technology and it is going to be large scale in future for every single child and old person, so this work helps all gathering information about Latest technologies and work in this field.

The Internet of things (IoT) enables global connectivity over the worldwide physical objects. The world is made smart with the development of science and technology, by people collaborating automatically with heterogeneous devices. The exchange of massive information between the devices gives rise to enormous energy requirements. The IoT is interconnected to big data analytics and cloud computing to predict the behavior of smart devices, provide useful business insights, and act as a feedback control. In addition, most of the organizations would adapt to the growing interest of smart world which in turn energy demand increases more rapidly. Moreover, there is a never-ending increase in number of vendors and users of various technologies. Green IoT prominently focuses on reducing the environmental problems and creating a sustainable environment related to IoT. It has been emphasized that the utilization of energy-efficient technologies in IoT either reduces the impact of greenhouse gases or inhibit greenhouse effect in various IoT applications. Green IoT assists in maintaining the climatic condition by introducing low energy consumption devices or electrical appliances, minimizing greenhouse gas emissions, utilizing carbon-free materials, and promoting reusability. In order to achieve sustainable environment, an outline of Green IoT and its applications are described in the perspective of minimizing the energy utilization in IoT. The designing of green data centers, sensor network, and cloud computing is discussed with certain policies in order to save energy. In addition, the different Green IoT strategies are analyzed and the principles that can be adapted to attain Green IoT also discussed. Finally, various applications of IoT are described such as smart home which allows the user to control the smart devices like automated doors, smart locks, security cameras, electrical appliances with the application on a smart phone or any other connected devices. Smart e-health is useful in monitoring and tracking patients, and smart city assists people by interconnecting systems, thereby offers required services in order to provide a smarter view for the present scenario and which in turn makes the IoT greener.

In this paper, I aim to understand how IOT technology can improve the development of smart cities’ infra- structures and alleviate the strains of population growth. In order to understand this inquiry, I will begin by defining IOT technology. Then I will examine the function and capabilities of IOT technology and how it helps smart cities’ urban devel- opment in areas such as architectural, agricultural, safety and surveillance, and health and sanitary needs. I will develop a prognosis that provides targeted solutions for how IOT can specifically reduce urban population strains and challenges in particular urban sectors, and analyze the environmental implications of IOT technology. Lastly, in the discussion section, I propose applying sustainable frameworks, that can incorporate IOT technology, and showcase IOT weaknesses. This research concludes with describing the impact of implementing IOT technologies to address specific urban infrastructure and overcrowding problems. It can allow readers to view the interdisciplinary potential of sustainability with the use of technology, environmental science, and engineering, and social science through urban development and planning. Internet of things technology, through a cross disciplinary approach, can alleviate and resolve humanity’s rising problems.

Internet of Things (IoT) technology provides the basic infrastructure for a hyper connected society where all things are connected and exchange information through the Internet. IoT technology is fused with 5G and artificial intelligence (AI) technologies for use various fields such as the smart city and smart factory. As the demand for IoT technology increases, security threats against IoT infrastructure, applications, and devices have also increased. A variety of studies have been conducted on the detection of IoT malware to avoid the threats posed by malicious code. While existing models may accurately detect malicious IoT code identified through static analysis, detecting the new and variant IoT malware quickly being generated may become challenging. Due to the complexity of design and implementation in both hardware and software, as well as the lack of security functions and abilities, IoT devices are becoming an attractive target for cyber criminals who take advantage of weak authentication, outdated firmware’s , and malwares to compromise IoT devices .This project provides the light on the system named as malware classification and detection of IOT devices, used to detect the cyber-attacks caused by malware on IOT devices by using machine learning techniques. The malware classification and detection system detect and identifies the various types of malwares using static analysis with the help of machine learning algorithm. An easy-to-use user interface for easy uploading of files and checking for virus is designed. Also, acceptance testing is performed on the application to remove vulnerabilities.

The proliferation of Internet of Things (IoT) technologies has revolutionized various aspects of modern life, including business operations and government services. This research paper delves into the intersection of IoT technologies and tax compliance, aiming to elucidate the opportunities, challenges, and policy implications arising from their integration. Through a comprehensive review and analysis of existing literature, this paper seeks to provide insights into the transformative potential of IoT in tax compliance, while also highlighting potential hurdles and offering policy recommendations. IoT technologies offer a myriad of opportunities to enhance tax compliance processes for both taxpayers and tax authorities. The ability of IoT devices to collect real-time data and automate various tasks can streamline recordkeeping, improve accuracy in reporting, and enable proactive compliance measures. For taxpayers, IoT-enabled systems can simplify tax documentation, minimize errors, and provide timely reminders for compliance deadlines. Likewise, tax authorities can leverage IoT data for better monitoring, enforcement, and risk assessment, thus enhancing overall tax administration efficiency. However, the integration of IoT in tax compliance also presents notable challenges. Privacy and data security concerns emerge as paramount considerations, given the sensitive nature of financial information involved in taxation. The vast amount of data generated by IoT devices also raises questions regarding data governance, ownership, and liability. Moreover, the digital divide may exacerbate existing disparities in access to IoT technologies, potentially marginalizing certain segments of the population and hindering equitable tax compliance. In light of these opportunities and challenges, policymakers must carefully design regulations and guidelines to harness the benefits of IoT while mitigating associated risks. Clear standards for data protection, encryption, and user consent are essential to safeguard taxpayer privacy and instill trust in IoT-enabled tax compliance systems. Additionally, implementation of measures to bridge the digital divide and ensure equitable access to IoT technologies, thereby promoting inclusivity in tax compliance efforts. Furthermore, tax authorities need to develop robust frameworks for data governance, encompassing data collection, storage, sharing, and usage. Collaboration between public and private sectors is crucial to foster innovation in IoT-based tax compliance solutions while adhering to regulatory requirements and ethical principles. In conclusion, the integration of IoT technologies in tax compliance holds immense potential to revolutionize the way in which taxes administered and enforced. However, realizing this potential necessitates a holistic approach that addresses technical, legal, and socio-economic considerations. By embracing innovation while safeguarding privacy and inclusivity, governments can harness the transformative power of IoT to foster more efficient, transparent, and equitable tax systems.

In recent years, wireless technologies have been actively developing at the global level. In the market of wireless technologies, 5G technology has become the most complex, large-scale and interesting topic in the study of wireless communication systems. The purpose of this work is to study the effectiveness of the implementation of the Internet of Things (IoT) in the 5G network, to build the 5G-IoT architecture and create a mathematical model. Also, to demonstrate the advantages of 5G network over existing technologies. The current LTE (4G) cellular network will not be sufficient and efficient to meet the requirements of simultaneous connection of multiple devices, high speed, high bandwidth and low latency Quality of Service (QoS). Bluetooth, Wi-Fi, WiMAX, Zigbee, Sigfox technologies cannot fully satisfy the basic requirements of IoT. In order to solve these problems, we considered 5G network as the most promising technology. This research work consists of the following parts: the first part reviews 5G and IoT technologies, their scope and advantages, the works of other authors in this field, the second part considers the architecture and mathematical model of 5G-IoT, the next part presents the results and their analysis, and the last part a conclusion was made

Background: The rapid evolution of telecommunications has been marked by the integration of advanced technologies such as Long-Term Evolution (LTE), Fifth Generation (5G) networks, Unmanned Aerial Vehicles (UAVs or drones), the Internet of Things (IoT), and cloud computing. These technologies have significantly reshaped the landscape of data transmission and communication efficiency. Objective: This review aims to evaluate the collective impact and interconnectivity of LTE, 5G, drones, IoT, and cloud technologies in modern telecommunications, highlighting advancements and identifying future trends. Methods: A comprehensive literature review was conducted, examining recent advancements in each technology and their synergistic effects on telecommunications. The review focused on peer-reviewed articles, white papers, and industry reports published between 2015 and 2023. Results: Findings indicate that 5G technology enhances IoT and drone operations by providing higher bandwidth and lower latency, which are critical for real-time data processing and control. LTE's widespread adoption provides a robust foundation for transitioning to 5G networks. IoT and cloud computing have emerged as pivotal in managing and analyzing vast amounts of data generated by telecommunications networks, improving decision-making and operational efficiency. Conclusion: The convergence of LTE, 5G, drones, IoT, and cloud technologies is pivotal in driving the next wave of telecommunications innovation. Continuous advancements in these areas are expected to further enhance connectivity and scalability, paving the way for more integrated and smart telecommunication solutions. Future research should focus on security challenges and the development of unified regulatory frameworks to support this technological evolution.

Currently, a disconnected system makes a major challenge for IoT technologies. The ability of 5G to transmit data more quickly and support further links can benefit at once address the present challenge and simplify the connected device control. In contrast, using 4G/LTE networks, 5G will be able to process data quickly, which was a challenge for IoT solutions. The consequence has been long delays from sending data to receiving it. By using the 5G network, more users could continuously send more information without fear of overcrowding the network, leading to delays in the past. The 5G connectivity would allow everyone to realize the IoT technology’s strength. Now, IoT potential is vast, but the potential connectivity will come to fruition with 5G technology. Using sensors, “Smart” apps can easily transmit data even from thousands of miles away. In this paper, we discuss the impact and importance of 5G on IoT with its applications. As IoT is more established and essential due to the rapid growth of 5G, we discuss the establishment and necessity of IoT over 5G. Lastly, we focus on the aspect of IoT on updated 5G technology.

Recent technological developments have seen the emergence of two new technologies with the potential to drastically change the way we have viewed and used cyberspace. With the phenomenal development and growth of the fifth generation (5G), a technology that is greatly increasing the speed and responsiveness of wireless networks, and the Internet of Things (IoT), a technology that allowed a high degree of network connectivity where any connected device can talk to each other by sending and receiving data, a new dawn in a remarkable cyberspace was born. Noting that wireless networks are a core component of cyberspace, 5G technology inevitably becomes a fundamental outlier of cyberspace. Also noting that wireless devices form the bulk of the outliers of cyberspace; hence, the many devices that form the Internet of things (IoT), a new marriage between 5G and IoT was inevitable. The resulting environment is the new frontier of cyberspace wherein miniature devices including bread toasters are talking smartphones as the house fridge talks to the garage door opener. It is a wild west and a social, ethical, and security quagmire. All this mayhem is a result of our total dependence on technology, now creeping ever closer into our living and bedrooms. The home front, as the last frontier of defenses, is now the security war front, brought home by the 5G and IoT technologies. In this chapter, we are going to explore these technologies, highlight the problematic issues, comment on the ethical implications, and outline the latest security tools and best practices.

As the world progresses towards a more connected and technologically advanced future, the evolution of wireless communication technologies plays a pivotal role in shaping the landscape of smart cities and the Internet of Things (IoT). This paper provides a comprehensive review of the anticipated impact and potential contributions of 6G technology in supporting and enhancing the infrastructure of IoT and smart cities. The introductory section outlines the historical context of wireless communication, highlighting the transformative journey from 1G to the upcoming 6G. Emphasis is placed on the escalating significance of IoT across various sectors and the need for advanced communication technologies to meet the growing demands of a connected world. The paper explores the defining characteristics and advancements offered by 6G, distinguishing it from its predecessors, particularly 5G. Attention is given to its capabilities in terms of low-latency communication, high data transfer rates, and efficient spectrum utilization. Special focus is directed towards the integration of IoT with 6G technology, elucidating how the enhanced connectivity and massive device handling capabilities of 6G can revolutionize the functioning of IoT devices. The implications of 6G on smart cities infrastructure are discussed, highlighting its role in improving communication between smart devices, enabling real-time data exchange, and supporting resource-intensive applications through edge computing. However, challenges and considerations are not overlooked, as the paper delves into the security and privacy concerns associated with a highly connected environment. Additionally, the discussion extends to the practical challenges of upgrading existing infrastructure and the financial implications of widespread 6G implementation. The paper concludes by envisioning the future implications and opportunities that 6G technology presents. It explores potential applications across diverse sectors and emphasizes the economic and social impacts, including job creation, economic growth, and improvements in the quality of life within smart cities. This paper aims to provide a holistic overview of the future role of 6G technology, offering insights into its potential to reshape the landscape of IoT and smart cities infrastructure. The findings contribute to the ongoing discourse on the intersection of advanced communication technologies, IoT, and urban development in the ever-evolving technological landscape.

The Internet of Things (IoT) concept is evolving rapidly and influencing new developments in various application domains, such as the Internet of Mobile Things (IoMT), Autonomous Internet of Things (A-IoT), Autonomous System of Things (ASoT), Internet of Autonomous Things (IoAT), Internet of Things Clouds (IoT-C) and the Internet of Robotic Things (IoRT) etc. that are progressing/advancing by using IoT technology. The IoT influence represents new development and deployment challenges in different areas such as seamless platform integration, context based cognitive network integration, new mobile sensor/actuator network paradigms, things identification (addressing, naming in IoT) and dynamic things discoverability and many others. The IoRT represents new convergence challenges and their need 98to be addressed, in one side the programmability and the communication of multiple heterogeneous mobile/autonomous/robotic things for cooperating, their coordination, configuration, exchange of information, security, safety and protection. Developments in IoT heterogeneous parallel processing/communication and dynamic systems based on parallelism and concurrency require new ideas for integrating the intelligent “devices”, collaborative robots (COBOTS), into IoT applications. Dynamic maintainability, selfhealing, self-repair of resources, changing resource state, (re-) configuration and context based IoT systems for service implementation and integration with IoT network service composition are of paramount importance when new “cognitive devices” are becoming active participants in IoT applications. This chapter aims to be an overview of the IoRT concept, technologies, architectures and applications and to provide a comprehensive coverage of future challenges, developments and applications.

Internet of Things (IoT) technology provides the basic infrastructure for a hyper connected society where all things are connected and exchange information through the Internet. IoT technology is fused with 5G and artificial intelligence (AI) technologies for use various fields such as the smart city and smart factory. As the demand for IoT technology increases, security threats against IoT infrastructure, applications, and devices have also increased. A variety of studies have been conducted on the detection of IoT malware to avoid the threats posed by malicious code. While existing models may accurately detect malicious IoT code identified through static analysis, detecting the new and variant IoT malware quickly being generated may become challenging. This paper proposes a dynamic analysis for IoT malware detection (DAIMD) to reduce damage to IoT devices by detecting both well-known IoT malware and new and variant IoT malware evolved intelligently. The DAIMD scheme learns IoT malware using the convolution neural network (CNN) model and analyzes IoT malware dynamically in nested cloud environment. DAIMD performs dynamic analysis on IoT malware in a nested cloud environment to extract behaviors related to memory, network, virtual file system, process, and system call. By converting the extracted and analyzed behavior data into images, the behavior images of IoT malware are classified and trained in the Convolution Neural Network (CNN). DAIMD can minimize the infection damage of IoT devices from malware by visualizing and learning the vast amount of behavior data generated through dynamic analysis.

An exploiting the increased ubiquity of wireless, mobile and sensor devices, the Internet of Things (IoT) has presented a potential opportunity to construct sensitive industrial systems and applications. Recent agriculture, the food processing unit of industry, environmental monitoring, security surveillance and other industries have all conducted industrial IoT initiatives. Based on IoT and cloud network technology, we built an Android mobile application to measure and report water quality. In the proposed system, multiple sensors are used to measure the presence of impurity in the water resource system. The impurity is tested in physical and chemical form. The proposed system will measure and monitor the following water parameters for analysis: potential hydrogen (pH), turbidity and temperature continuously. Furthermore, the values are stored continuously in a cloud-hosted NoSQL database named FIREBASE using IoT technology. We developed a simple user-friendly mobile application in order to access the parameter values from anywhere and at anytime based on IoT and cloud system technology. The developed mobile application uses the IoT technology and receives the parameter values from the database and displays these parameters in real time. An IoT platform named If This Then That (IFTTT) is adapted to alert the user/higher official with a voice message whenever the parameter values are not in the acceptable range. In the developed mobile application, the alert message contains the values of all the parameters and time to measurement when the quality breach has occurred.KeywordsIOTCloud networkAutomationFrameworkIndustry system

PurposeIn the current dynamic business environment, Internet of Things (IoT) is employed by a number of companies in the logistics industry to achieve intelligent sorting, network optimization, real-time tracking and simplifying last-mile service. Although logistics entities are trying to introduce IoT into their business areas, users' perception of this new technology is still limited. This paper aims to develop a research model for the factors influencing the user adoption of IoT technology in the logistics industry.Design/methodology/approachIn this study, based on the major theories on the application of new technologies such as technology acceptance model (TAM), technology–organization–environment (TOE) and innovation diffusion theory (IDT), a new research model was established to identify factors affecting customers' behavioral intention (BI) to adopt IoT technology provided by logistics companies. In addition, the authors surveyed unspecified customers of Cainiao Logistics Network, which is in charge of the logistics operation of Alibaba Group, China's largest e-commerce company, and tested the causality between the latent variables presented in the model using the structural equation model (SEM).FindingsThis empirical study shows that the support system of a logistics company and users' innovative propensity significantly affect perceived ease of use (PEOU) and BI for logistics services to which IoT technology is applied. It also presents that users' perceived security and enjoyment significantly affect perceived usefulness (PU) and BI. In addition, it was possible to confirm that the causal structure between variables suggested by TAM that PEOU has a significant effect on PU and BI, and PU has a substantial effect on BI.Practical implicationsLogistics companies should expand and upgrade technical support systems so that customers can flexibly accept logistics services with IoT technology and make efforts to alleviate customers' concerns about personal information leakage. In addition, it is necessary to find customers with an inclusive attitude toward using new technologies, to induce them to become leading users of logistics devices with IoT technology and to find various ways to amplify their enjoyment. Through a strategic approach to these technical and individual factors, it will be possible to boost customers' intention to use IoT logistics services.Originality/valueAs far as the authors know, this paper is the first study to set significant factors that affect users' BI to use IoT technology-applied logistics services provided by logistics companies and empirically analyze the causal relationships between proposed latent variables.

The study examined the application of the Internet of Things (IoT) for quality service delivery in Nigerian university libraries. The study’s objectives were toidentify the Internet of Things (IoT) technologies that are available in Nigerian University Libraries; identify the areas of use of Internet of Things (IoT) technologies in Nigerian University Libraries; examine the functions of Internet of Things (IoT) technologies in Nigerian University Libraries; and identify the benefits of the Internet of Things (IoT) technologies in Nigerian University Libraries. The study adopted a descriptive survey research design, and the population comprises 37 professional librarians in three university libraries in Kwara State. A self-designed questionnaire was used for data collection, while data were analyzed using descriptive statistics of frequency counts and percentages. The study’s findings revealed the available IoT technologies, including Wireless Sensor Networks, Cloud Computing, Smoke or Heat sensor, and RFID. The study also revealed that the aforementioned are used in technical services, readers services, theft management, and alerting services for quality service delivery in university libraries. The study recommended that Nigerian University libraries should increase awareness of existing IoT technologies available, put appropriate measures in place for its application to various library routines and departments and employ it to transform into innovative libraries.