Intelligent Sensing and Communications for Internet of Everything PDF Download

Author: Zhengyu Zhu
Publisher: Academic Press
ISBN: 0323903711
Category : Technology & Engineering
Languages : en
Pages : 358

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Book Description
Intelligent Sensing and Communications for Internet of Everything introduces three application scenarios of enhanced mobile broadband (eMBB), large-scale machine connection (mMTC) and ultra reliable low latency communication (URLLC). A new communication model, namely backscatter communication (BackCom), intelligent reflector surface (IRS) and unmanned aerial vehicle (UAV) technology in Internet of Everything (IoE), is described in detail. Also focusing on millimeter wave, the book discusses the potential application of terahertz 6G network spectrum in the Internet of Things (IoT). Finally, the applications of IoE network in big data, artificial intelligence (AI) technology and fog/edge computing technology are proposed. - Systematically introduces the technical standards and market analysis of 5G's three application scenarios, as well as the problems and challenges faced - Provides readers with the knowledge of spectrum energy efficiency and cost-effective IoE network solutions - Introduces the application of physical layer related technologies to the IoT, such as BackCom, IRS and UAV relay in IoE, and millimeter wave technology - Discusses the potential application of terahertz 6G network spectrum in the IoT

Author: Miguel Antonio Wister Ovando
Publisher: Academic Press
ISBN: 0128123206
Category : Science
Languages : en
Pages : 316

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Book Description
Intelligent Data Sensing and Processing for Health and Well-being Applications uniquely combines full exploration of the latest technologies for sensor-collected intelligence with detailed coverage of real-case applications for healthcare and well-being at home and in the workplace. Forward-thinking in its approach, the book presents concepts and technologies needed for the implementation of today's mobile, pervasive and ubiquitous systems, and for tomorrow's IoT and cyber-physical systems. Users will find a detailed overview of the fundamental concepts of gathering, processing and analyzing data from devices disseminated in the environment, as well as the latest proposals for collecting, processing and abstraction of data-sets. In addition, the book addresses algorithms, methods and technologies for diagnosis and informed decision-making for healthcare and well-being. Topics include emotional interface with ambient intelligence and emerging applications in detection and diagnosis of neurological diseases. Finally, the book explores the trends and challenges in an array of areas, such as applications for intelligent monitoring in the workplace for well-being, acquiring data traffic in cities to improve the assistance of first aiders, and applications for supporting the elderly at home. - Examines the latest applications and future directions for mobile data sensing in an array of health and well-being scenarios - Combines leading computing paradigms and technologies, development applications, empirical studies, and future trends in the multidisciplinary field of smart sensors, smart sensor networks, data analysis and machine intelligence methods - Features an analysis of security, privacy and ethical issues in smart sensor health and well-being applications - Equips readers interested in interdisciplinary projects in ubiquitous computing or pervasive computing and ambient intelligence with the latest trends and developments

Author: Krit, Salahddine
Publisher: IGI Global
ISBN: 1799843823
Category : Computers
Languages : en
Pages : 279

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Book Description
Technologies in today’s society are rapidly developing at a pace that is challenging to stay up to date with. As an increasing number of global regions are implementing smart methods and strategies for sustainable development, they are continually searching for modern advancements within computer science, sensor networks, software engineering, and smart technologies. A compilation of research is needed that displays current applications of computing methodologies in the progression of global cities and how smart technologies are being utilized. Sensor Network Methodologies for Smart Applications is a collection of innovative research on the methods of intelligent systems and technologies and their various applications within sustainable development practices. While highlighting topics including machine learning, network security, and optimization algorithms, this book is ideally designed for researchers, scientists, developers, programmers, engineers, educators, policymakers, geographers, planners, and students seeking current research on smart technologies and sensor networks.

Author: Daniel Giusto
Publisher: Springer Science & Business Media
ISBN: 1441916741
Category : Technology & Engineering
Languages : en
Pages : 452

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Book Description
This book constitutes the proceedings from the 20th Tyrrhenian Workshop on Digital Communications, held September 2009 in Pula, Sardinia, Italy and focused on the "Internet of Things."

Author: Yang Yang
Publisher: John Wiley & Sons
ISBN: 1119593549
Category : Technology & Engineering
Languages : en
Pages : 340

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Book Description
INTELLIGENT IOT FOR THE DIGITAL WORLD DISCOVER HOW THE INTELLIGENT INTERNET OF THINGS WILL CHANGE THE INFORMATION AND COMMUNICATION TECHNOLOGY INDUSTRY IN THE NEXT DECADE In the digital world, most data and Internet of Things (IoT) services need to be efficiently processed and executed by intelligent algorithms using local or regional computing resources, thus greatly saving and reducing communication bandwidth, end-to-end service delay, long-distance data transmissions, and potential privacy breaches. This book proposes a pyramid model, where data, computing and algorithm jointly constitute the triangular base to support a variety of user-centric intelligent IoT services at the spire by using different kinds of smart terminals or devices. This book provides a state-of-the-art review of intelligent IoT technologies and applications, discusses the key challenges and opportunities facing the digital world, and answers the following five critical questions: What is the most feasible network architecture to effectively provide sufficient resources anywhere anytime for intelligent IoT application scenarios? How do we efficiently discover, allocate and manage computing, communication and caching resources in heterogeneous networks across multiple domains and operators? How do we agilely achieve adaptive service orchestration and reliable service provisioning to meet dynamic user requirements in real time? How do we effectively protect data privacy in IoT applications, where IoT devices and edge/fog computing nodes only have limited resources and capabilities? How do we continuously guarantee and maintain the synchronization and reliability of wide-area IoT systems and applications? Written for professionals working in 5G/IoT technology development, service management and big data analytics, this book offers an overview of intelligent IoT service architecture, key technologies, important applications and future technological trends.

Author: Sudhir Kumar Sharma
Publisher: CRC Press
ISBN: 1000370046
Category : Computers
Languages : en
Pages : 369

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Book Description
The Internet has gone from an Internet of people to an Internet of Things (IoT). This has brought forth strong levels of complexity in handling interoperability that involves the integrating of wireless sensor networks (WSNs) into IoT. This book offers insights into the evolution, usage, challenges, and proposed countermeasures associated with the integration. Focusing on the integration of WSNs into IoT and shedding further light on the subtleties of such integration, this book aims to highlight the encountered problems and provide suitable solutions. It throws light on the various types of threats that can attack both WSNs and IoT along with the recent approaches to counter them. This book is designed to be the first choice of reference at research and development centers, academic institutions, university libraries, and any institution interested in the integration of WSNs into IoT. Undergraduate and postgraduate students, Ph.D. scholars, industry technologists, young entrepreneurs, and researchers working in the field of security and privacy in IoT are the primary audience of this book.

Author: Liting Wang
Publisher: Springer Nature
ISBN: 9819745500
Category :
Languages : en
Pages : 102

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Book Description

Author: Radian Belu
Publisher: CRC Press
ISBN: 1482256681
Category : Technology & Engineering
Languages : en
Pages : 487

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Book Description
This textbook provides a comprehensive overview of smart grids, their role in the development of new electricity systems, as well as issues and problems related to smart grid evolution, operation, management, control, protection, entities and components. The book consists of eleven chapters, covering core topics such as energy, environmental issues, basic of power systems, introduction to renewable energy, distributed generation and energy storage, smart grid challenges, benefits and drivers, smart power transmission and distribution. It includes chapters focusing on smart grid communication, power flow analysis, smart grid design tools, energy management and microgrids. Each chapter ends with several practical and advanced problems that instilling critical thinking and applies to industrial applications. The book can be used as an introductory and basic textbook, reference and training resource by engineers, students, faculty and interested readers to gain the essential knowledge of the power and energy systems, smart grid fundamentals, concepts and features, as well as the main energy technologies, including how they work and operate, characteristics and how they are evaluated and selected for specific applications.

Author: Neha Singh
Publisher: John Wiley & Sons
ISBN: 1394227973
Category : Computers
Languages : en
Pages : 276

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Book Description
Comprehensive resource covering tools and techniques used for predictive analytics with practical applications across various industries Intelligent Techniques for Predictive Data Analytics provides an in-depth introduction of the tools and techniques used for predictive analytics, covering applications in cyber security, network security, data mining, and machine learning across various industries. Each chapter offers a brief introduction on the subject to make the text accessible regardless of background knowledge. Readers will gain a clear understanding of how to use data processing, classification, and analysis to support strategic decisions, such as optimizing marketing strategies and customer relationship management and recommendation systems, improving general business operations, and predicting occurrence of chronic diseases for better patient management. Traditional data analytics uses dashboards to illustrate trends and outliers, but with large data sets, this process is labor-intensive and time-consuming. This book provides everything readers need to save time by performing deep, efficient analysis without human bias and time constraints. A section on current challenges in the field is also included. Intelligent Techniques for Predictive Data Analytics covers sample topics such as: Models to choose from in predictive modeling, including classification, clustering, forecast, outlier, and time series models Price forecasting, quality optimization, and insect and disease plant and monitoring in agriculture Fraud detection and prevention, credit scoring, financial planning, and customer analytics Big data in smart grids, smart grid analytics, and predictive smart grid quality monitoring, maintenance, and load forecasting Management of uncertainty in predictive data analytics and probable future developments in the field Intelligent Techniques for Predictive Data Analytics is an essential resource on the subject for professionals and researchers working in data science or data management seeking to understand the different models of predictive analytics, along with graduate students studying data science courses and professionals and academics new to the field.

Author: Tausifa Jan Saleem
Publisher: John Wiley & Sons
ISBN: 1119740754
Category : Mathematics
Languages : en
Pages : 402

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Book Description
BIG DATA ANALYTICS FOR INTERNET OF THINGS Discover the latest developments in IoT Big Data with a new resource from established and emerging leaders in the field Big Data Analytics for Internet of Things delivers a comprehensive overview of all aspects of big data analytics in Internet of Things (IoT) systems. The book includes discussions of the enabling technologies of IoT data analytics, types of IoT data analytics, challenges in IoT data analytics, demand for IoT data analytics, computing platforms, analytical tools, privacy, and security. The distinguished editors have included resources that address key techniques in the analysis of IoT data. The book demonstrates how to select the appropriate techniques to unearth valuable insights from IoT data and offers novel designs for IoT systems. With an abiding focus on practical strategies with concrete applications for data analysts and IoT professionals, Big Data Analytics for Internet of Things also offers readers: A thorough introduction to the Internet of Things, including IoT architectures, enabling technologies, and applications An exploration of the intersection between the Internet of Things and Big Data, including IoT as a source of Big Data, the unique characteristics of IoT data, etc. A discussion of the IoT data analytics, including the data analytical requirements of IoT data and the types of IoT analytics, including predictive, descriptive, and prescriptive analytics A treatment of machine learning techniques for IoT data analytics Perfect for professionals, industry practitioners, and researchers engaged in big data analytics related to IoT systems, Big Data Analytics for Internet of Things will also earn a place in the libraries of IoT designers and manufacturers interested in facilitating the efficient implementation of data analytics strategies.