This book has a focus on the development and deployment of the Industrial Internet of Things (IIoT) paradigm, discussing frameworks, methodologies, benefits and limitations, as well as providing case studies of employing the IoT vision in the industrial domain. IIoT is becoming an attractive business reality for many organisations such as manufacturing, logistics, oil and gas, energy and other utilities, mining, aviation, and many more. The opportunities for this paradigm are huge, and according to one report, the IIoT market is predicted to reach $125 billion by 2021. The driving philosophy behind the IIoT is that smart machines are better than humans at accurately capturing, analysing and communicating real-time data. The underlying technologies include distributed computing, machine learning, artificial intelligence, and machine-to-machine communication, with a typical IIoT system consisting of intelligent systems (applications, controllers, sensors, and security mechanisms), data communication infrastructure (cloud computing, edge computing, etc.), data analytics (to support business intelligence and corporate decision making), and most importantly the human element. The promised benefits of the IIoT include enhanced safety, better reliability, smart metering, inventory management, equipment tracking, and facilities management. There are, however, numerous issues that are also becoming the focus of active research, such as concerns regarding service availability, data security, and device communication. Lack of ubiquitous interoperability between heterogeneous devices is also a major concern. This book intends to fill a gap in the IIoT literature by providing the scientific contributions and latest developments from researchers and practitioners of international repute, focusing on frameworks, methodologies, benefits, and inherent issues/barriers to connected environments, especially in industrial settings. The intended audience includes network specialists, hardware engineers, and security experts who wish to adopt newer approaches for device connectivity, IoT security, and sensor-based devices design. University level students, researchers and practitioners will also find the latest innovation in technology and newer approaches relevant to the IIoT from a distributed computing perspective.

This book provides theoretical and practical approach in the area of multimedia and IOT applications and performance analysis. Further, multimedia communication, deep learning models to multimedia data and the new (IOT) approaches are also covered. It addresses the complete functional framework in the area of multimedia data, IOT and smart computing techniques. The book proposes a comprehensive overview of the state-of-the-art research work on multimedia analysis in IOT applications. It bridges the gap between multimedia concepts and solutions by providing the current IOT frameworks, their applications in multimedia analysis, the strengths and limitations of the existing methods, and the future directions in multimedia IOT analytics.

This book covers essential topics in the architecture and design of Internet of Things (IoT) systems. The authors provide state-of-the-art information that enables readers to design systems that balance functionality, bandwidth, and power consumption, while providing secure and safe operation in the face of a wide range of threat and fault models. Coverage includes essential topics in system modeling, edge/cloud architectures, and security and safety, including cyberphysical systems and industrial control systems.

It has been demonstrated that the evolution of information and communication technology may result in the construction of industrial applications and systems that are extraordinarily effective, intelligent, and savvy. One possible outcome of this development is the creation of artificial intelligence. The Internet of Things (IoT) is an initiative that aims to facilitate the interconnection of intelligent devices, collect and evaluate data from a variety of sources, and provide goods and services to end users, application groups, and industries including farms, governments, transportation systems, healthcare management systems, and so on. The Internet of Things (IoT) is an acronym that stands for the Internet of Everything. The Internet of Things (IoT) and digital technologies have found increased application within the framework of smart cities, which has resulted in the rise of new difficulties within the new digital ecosystem. These difficulties have brought about the emergence of brand-new difficulties. Machine learning and artificial intelligence algorithms have been used to various electronic devices that have been deployed in smart cities along with platforms for the Internet of Things (IoT). These cities also contain a wide range of electronic gadgets. Because of this, smart cities are currently at their most resourceful and technologically sophisticated state to date. In spite of this, buildings continue to be the most important component of a city, and as a consequence, the most critical component of an ecosystem for a smart city. Because of this, in addition to the intelligent devices and services that have been developed in a smart city, the recording of the characteristics of a building will be the basis of the IoT platforms and the services that are offered in an integrated digital ecosystem. This is because the recording of the features of a building will be the foundation of the IoT platforms and the services that are given in an integrated digital ecosystem. This documentation will be carried out with the assistance of Building Information Modeling (BIM), and it will be combined with the information collected from intelligent apps and smart gadgets that have been developed. Even though the communication infrastructure provides the desirable QoS (for example, through the expansion of fiber optics networks, development of broadband wireless networks, WSNs, MIMO and 5G Technologies, modern short range communication, etc.), the application of Blockchain will help to address the security issues in the BIM IoT architecture. This is because Blockchain uses cryptography to verify transactions. This is due to the fact that transactions on Blockchain are verified using cryptography. In order to accomplish this objective, it will be necessary to reduce the number of third parties who have access to the sensitive information that is being sought. The Architecture, Engineering, and Construction (AEC) industry is comprised of a significant number of stakeholders in the construction industry as a whole. Since they've been doing their jobs in the same way for several decades, these stakeholders have developed a habit of doing everything exactly the same way. In spite of this, the AEC sector has not demonstrated the same amount of excitement for digital transformation as other industries (such as the manufacturing industry, the aerospace industry, or the financial industry, for example). In point of fact, the architecture, engineering, and construction (AEC) industry is one of the sectors that has undergone the least degree of digital transformation, and many individuals who are considered to be economic experts believe that this is one of the contributing causes to the stagnation or decline in Despite this, the construction industry is a strategically important part of economies, both in terms of the amount of production it creates and the number of employments it offers. This is due to the fact that the building industry generates a significant number of job opportunities. The construction industry in Europe employs a total of 18 million people and is responsible for around 9 percent of the region's gross domestic output. This industry provides employment for more than 18 million people. The total value of its output is 1,300,000,000,000,000 euro. The capacity of "change resistant" construction businesses to continue to be competitive over the long term would be put in peril if these companies failed to acknowledge the significance of transformation as being significant. This would put the ability of these companies to continue to be competitive in jeopardy. The construction sector has been making significant strides in recent years toward selfreform through the use of innovative technologies that have a significant amount of unrealized potential for the advancement of information and communications technology (ICT). This is being done in order to find a solution to the issue that has been affecting the industry for some time now.

This book focuses on the Internet of Things (IoT). IoT has caught the imagination as a transformational technology that will positively impact a large and diverse array of socio-economic activities. This book explores this impact, beginning with a chapter highlighting the promises and complexities of the IoT. It then explores these in greater detail in subsequent chapters. The first of these chapters explores the patenting activity of leading companies and is followed by a discussion of the challenges faced by the growth of ‘unicorns’ within Europe. The fourth chapter outlines a methodology for determining when investments in IoT should occur and is followed by a discussion of how the data generated by IoT will change marketing related decisions. The scope and complexity of the regulatory and governance structures associated with the IoT are then explored in the sixth chapter. These issues are brought together in the final chapter, which identifies the opportunities and challenges emanating from the IoT and how these may be tackled. This book will be valuable reading to academics working in the field of disruptive technology, innovation management, and technological change more broadly.

This book presents an overview of the latest smart transportation systems, IoV connectivity frameworks, issues of security and safety in VANETs, future developments in the IoV, technical solutions to address key challenges, and other related topics. A connected vehicle is a vehicle equipped with Internet access and wireless LAN, which allows the sharing of data through various devices, inside as well as outside the vehicle. The ad-hoc network of such vehicles, often referred to as VANET or the Internet of vehicles (IoV), is an application of IoT technology, and may be regarded as an integration of three types of networks: inter-vehicle, intra-vehicle, and vehicular mobile networks. VANET involves several varieties of vehicle connectivity mechanisms, including vehicle-to-infrastructure (V2I), vehicle-to-vehicle (V2V), vehicle-to-cloud (V2C), and vehicle-to-everything (V2X). According to one survey, it is expected that there will be approximately 380 million connected cars on the roads by 2020. IoV is an important aspect of the new vision for smart transportation. The book is divided into three parts: examining the evolution of IoV (basic concepts, principles, technologies, and architectures), connectivity of vehicles in the IoT (protocols, frameworks, and methodologies), connected vehicle environments and advanced topics in VANETs (security and safety issues, autonomous operations, machine learning, sensor technology, and AI). By providing scientific contributions and workable suggestions from researchers and practitioners in the areas of IoT, IoV, and security, this valuable reference aims to extend the body of existing knowledge.

The internet of things (IoT) has the potential to change how we live and work. It represents the next evolution of the computing revolution and will see the embedding of information and communication technologies within machines at home and in the workplace and across a broad range of industrial processes. The effect will be a radical restructuring of industries and business models driven by massive flows of data providing new insights into how the man-made and natural worlds work. The Internet of Things & Business explores the business models emerging from the IoT and considers the challenges as well as the opportunities they pose to businesses around the world. Via real examples and a range of international case studies, the reader will develop an understanding of how this technology revolution will impact on the business world as well as on broader society.

The industrial internet is a new and upcoming technology that is changing the practices of organizations and corporations everywhere. Through research and application, opportunities can arise from implementing these new systems and devices. The Internet of Things in the Modern Business Environment is an essential reference source for the latest scholarly research on varying aspects of the interworking of smart devices within a business setting and explores the impact of these devices on company operations and models. Featuring extensive coverage on a broad range of topics such as supply chain management, information sharing, and data analytics, this publication is ideally designed for researchers, managers, and students seeking current research on the expansion of technology in commerce.

A ROADMAP FOR ENABLING INDUSTRY 4.0 BY ARTIFICAIAL INTELLIGENCE The book presents comprehensive and up-to-date technological solutions to the main aspects regarding the applications of artificial intelligence to Industry 4.0. The industry 4.0 vision has been discussed for quite a while and the enabling technologies are now mature enough to turn this vision into a grand reality sooner rather than later. The fourth industrial revolution, or Industry 4.0, involves the infusion of technology-enabled deeper and decisive automation into manufacturing processes and activities. Several information and communication technologies (ICT) are being integrated and used towards attaining manufacturing process acceleration and augmentation. This book explores and educates the recent advancements in blockchain technology, artificial intelligence, supply chains in manufacturing, cryptocurrencies, and their crucial impact on realizing the Industry 4.0 goals. The book thus provides a conceptual framework and roadmap for decision-makers for implementing this transformation. Audience Computer and artificial intelligence scientists, information and communication technology specialists, and engineers in electronics and industrial manufacturing will find this book very useful.

Discover the essential guide to harnessing the power of cutting-edge smart sensors in Industry 4.0, offering deep insights into fundamentals, fabrication techniques, and real-world IIoT applications, equipping you with the knowledge to revolutionize your industrial processes and stay ahead in the digital era. Over the last decade, technologies like the Internet of Things (IoT), big data, cloud computing, blockchain, artificial intelligence (AI), machine learning, device automation, smart sensors, etc., have become highly developed fundamental supports of Industry 4.0, replacing the conventional production systems with advanced methods, and thereby endorsing the smart industry vision. Industry 4.0 is more flexible and agile in dealing with several risk factors, further enabling improved productivity and efficiency, distribution, increased profitability, data integrity, and enhancing customer experience in the current commercial environment. For understanding and analyzing the environment, sensors play a major role in performing the measurements based on computation-produced results from the surrounding environment. Sensors have a wide range of applications for smart industrial operations. The evolution of flexible, low-cost, and multipurpose sensors and their system integration has been examined to develop advanced devices with applications in numerous fields of technology. With the development of both the Internet of Things (IoT) and the Industrial IoT (IIoT), advanced sensors and their associated applications are developing, resulting in the necessity for IoT sensors to be used for several industrial applications. Beneficial aspects of this book include: The latest research in materials and methodology for the fabrication of intelligent sensors, its IoT system integration, and IIoT applications are brought together; Promotes a vision towards making sensor-based monitoring and control of smart industry; Recent advances and challenges of smart sensors are discussed with an emphasis on unmet challenges and future directions of a roadmap to Industry 4.0. Audience This book is highly recommended to a wide range of researchers and industry engineers working in the area of fabrication and integration of industrial smart sensors for IIoT applications, advanced materials for sensor technology, fabrication and characterization of IoT sensors, development of low-cost sensors, sensor system design and integration, and its industrial applications. Post-graduate students from different streams like computer science, electronics and electrical engineering, information technology, electronic communication, etc. will benefit from reading this book.