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Author: Bharat Bhushan
Publisher:
ISBN: 9781032649825
Category : Business & Economics
Languages : en
Pages : 0
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Book Description
This book studies the evolution of sustainable green smart cities and demonstrates solutions for green environmental issues using modern industrial IoT solutions. It is a ready reference with guidelines and a conceptual framework for context-aware product development and research in the IoT paradigm and Big Data Analytics for a Green Environment. It brings together the most recent advances in IoT and Big Data in Green Environments, emerging aspects of the IoT and Big Data for Green Cities, explores key technologies, and develops new applications in this research field. Key Features: - Discusses the framework for development and research in the IoT Paradigm and Big Data Analytics. - Highlights threats to the IoT architecture and Big Data Analytics for a Green Environment. - Present the I-IoT architecture, I-IoT applications and their characteristics for a Green Environment. - Provides a systematic overview of the state-of-the-art research efforts. - Introduces necessary components and knowledge to become a vital part of the IoT revolution for a Green Environment. This book is for professionals and researchers interested in the emerging technology of sustainable development, green cities, and Green Environment. Yousef Farhaoui is a Professor at Moulay Ismail University, Faculty of sciences and Techniques, Morocco. He is the Chair of the IDMS Team and the Director of STI Laboratory. He obtained his Ph.D. degree in Computer Security from Ibn Zohr University of Science. He has authored 15 books and several book chapters. He is a Senior Member of IEEE, IET, ACM and EAI. Bharat Bhushan is an Assistant Professor of the Department of Computer Science and Engineering (CSE) at the School of Engineering and Technology, Sharda University, Greater Noida, India. For the three consecutive years (2021 to 2023), Stanford University (USA) listed Dr. Bharat Bhushan in the top 2% of scientists list. Dr. Nidhi Sindhwani is currently working as an Assistant Professor at Amity School of Engineering and Technology Delhi, Amity University, Noida, India. She has done her Ph.D.(ECE) from Punjabi University, Patiala, Punjab, India. She has more than 15 years of teaching experience. She has published three book chapters in reputed books, ten papers in Scopus/SCIE Indexed Journals and 4 Patents. Rohit Anand is currently working as an Assistant Professor (Group-A Gazetted Officer) in the Department of Electronics and Communication Engineering at G. B. Pant DSEU Okhla-1 Campus (formerly G.B.Pant Engineering College), Government of NCT of Delhi, New Delhi, India. Agbotiname Lucky Imoize is a Lecturer in the Department of Electrical and Electronics Engineering at the University of Lagos, Nigeria. His research interests cover the fields of 6G wireless communication, wireless security systems, and artificial intelligence. He has published ten books in these fields. He is a Fulbright research fellow, PTDF and DAAD scholar, and Marie Curie researcher. He is the vice chair of the IEEE Communication Society, Nigeria chapter, a registered engineer, and a senior member of the IEEE. Anshul Verma is currently working as an Assistant Professor in the Department of Computer Science, Institute of Science, Banaras Hindu University Varanasi, India. His research interests include Distributed systems, Cloud/Edge computing, Mobile ad-hoc networks, and Formal verification. He is serving as Editor of the Journal of Scientific Research of the Banaras Hindu University.
Author: Bharat Bhushan
Publisher:
ISBN: 9781032649825
Category : Business & Economics
Languages : en
Pages : 0
Get Book Here
Book Description
This book studies the evolution of sustainable green smart cities and demonstrates solutions for green environmental issues using modern industrial IoT solutions. It is a ready reference with guidelines and a conceptual framework for context-aware product development and research in the IoT paradigm and Big Data Analytics for a Green Environment. It brings together the most recent advances in IoT and Big Data in Green Environments, emerging aspects of the IoT and Big Data for Green Cities, explores key technologies, and develops new applications in this research field. Key Features: - Discusses the framework for development and research in the IoT Paradigm and Big Data Analytics. - Highlights threats to the IoT architecture and Big Data Analytics for a Green Environment. - Present the I-IoT architecture, I-IoT applications and their characteristics for a Green Environment. - Provides a systematic overview of the state-of-the-art research efforts. - Introduces necessary components and knowledge to become a vital part of the IoT revolution for a Green Environment. This book is for professionals and researchers interested in the emerging technology of sustainable development, green cities, and Green Environment. Yousef Farhaoui is a Professor at Moulay Ismail University, Faculty of sciences and Techniques, Morocco. He is the Chair of the IDMS Team and the Director of STI Laboratory. He obtained his Ph.D. degree in Computer Security from Ibn Zohr University of Science. He has authored 15 books and several book chapters. He is a Senior Member of IEEE, IET, ACM and EAI. Bharat Bhushan is an Assistant Professor of the Department of Computer Science and Engineering (CSE) at the School of Engineering and Technology, Sharda University, Greater Noida, India. For the three consecutive years (2021 to 2023), Stanford University (USA) listed Dr. Bharat Bhushan in the top 2% of scientists list. Dr. Nidhi Sindhwani is currently working as an Assistant Professor at Amity School of Engineering and Technology Delhi, Amity University, Noida, India. She has done her Ph.D.(ECE) from Punjabi University, Patiala, Punjab, India. She has more than 15 years of teaching experience. She has published three book chapters in reputed books, ten papers in Scopus/SCIE Indexed Journals and 4 Patents. Rohit Anand is currently working as an Assistant Professor (Group-A Gazetted Officer) in the Department of Electronics and Communication Engineering at G. B. Pant DSEU Okhla-1 Campus (formerly G.B.Pant Engineering College), Government of NCT of Delhi, New Delhi, India. Agbotiname Lucky Imoize is a Lecturer in the Department of Electrical and Electronics Engineering at the University of Lagos, Nigeria. His research interests cover the fields of 6G wireless communication, wireless security systems, and artificial intelligence. He has published ten books in these fields. He is a Fulbright research fellow, PTDF and DAAD scholar, and Marie Curie researcher. He is the vice chair of the IEEE Communication Society, Nigeria chapter, a registered engineer, and a senior member of the IEEE. Anshul Verma is currently working as an Assistant Professor in the Department of Computer Science, Institute of Science, Banaras Hindu University Varanasi, India. His research interests include Distributed systems, Cloud/Edge computing, Mobile ad-hoc networks, and Formal verification. He is serving as Editor of the Journal of Scientific Research of the Banaras Hindu University.
Author: Simon Elias Bibri
Publisher: Springer
ISBN: 3319739816
Category : Political Science
Languages : en
Pages : 685
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Book Description
This book is intended to help explore the field of smart sustainable cities in its complexity, heterogeneity, and breadth, the many faces of a topical subject of major importance for the future that encompasses so much of modern urban life in an increasingly computerized and urbanized world. Indeed, sustainable urban development is currently at the center of debate in light of several ICT visions becoming achievable and deployable computing paradigms, and shaping the way cities will evolve in the future and thus tackle complex challenges. This book integrates computer science, data science, complexity science, sustainability science, system thinking, and urban planning and design. As such, it contains innovative computer–based and data–analytic research on smart sustainable cities as complex and dynamic systems. It provides applied theoretical contributions fostering a better understanding of such systems and the synergistic relationships between the underlying physical and informational landscapes. It offers contributions pertaining to the ongoing development of computer–based and data science technologies for the processing, analysis, management, modeling, and simulation of big and context data and the associated applicability to urban systems that will advance different aspects of sustainability. This book seeks to explicitly bring together the smart city and sustainable city endeavors, and to focus on big data analytics and context-aware computing specifically. In doing so, it amalgamates the design concepts and planning principles of sustainable urban forms with the novel applications of ICT of ubiquitous computing to primarily advance sustainability. Its strength lies in combining big data and context–aware technologies and their novel applications for the sheer purpose of harnessing and leveraging the disruptive and synergetic effects of ICT on forms of city planning that are required for future forms of sustainable development. This is because the effects of such technologies reinforce one another as to their efforts for transforming urban life in a sustainable way by integrating data–centric and context–aware solutions for enhancing urban systems and facilitating coordination among urban domains. This timely and comprehensive book is aimed at a wide audience across science, academia industry, and policymaking. It provides the necessary material to inform relevant research communities of the state–of–the–art research and the latest development in the area of smart sustainable urban development, as well as a valuable reference for planners, designers, strategists, and ICT experts who are working towards the development and implementation of smart sustainable cities based on big data analytics and context–aware computing.
Author: Yousef Farhaoui
Publisher: CRC Press
ISBN: 1040224733
Category : Computers
Languages : en
Pages : 358
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Book Description
This book studies the evolution of sustainable green smart cities and demonstrates solutions for green environmental issues using modern industrial IoT solutions. It is a ready reference with guidelines and a conceptual framework for context-aware product development and research in the IoT paradigm and Big Data Analytics for a Green Environment. It brings together the most recent advances in IoT and Big Data in Green Environments, emerging aspects of the IoT and Big Data for Green Cities, explores key technologies, and develops new applications in this research field. Key Features: • Discusses the framework for development and research in the IoT Paradigm and Big Data Analytics. • Highlights threats to the IoT architecture and Big Data Analytics for a Green Environment. • Present the I-IoT architecture, I-IoT applications, and their characteristics for a Green Environment. • Provides a systematic overview of the state-of-the-art research efforts. • Introduces necessary components and knowledge to become a vital part of the IoT revolution for a Green Environment. This book is for professionals and researchers interested in the emerging technology of sustainable development, green cities, and Green Environment.
Author: Nilanjan Dey
Publisher: Springer
ISBN: 331960435X
Category : Technology & Engineering
Languages : en
Pages : 545
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Book Description
This book highlights state-of-the-art research on big data and the Internet of Things (IoT), along with related areas to ensure efficient and Internet-compatible IoT systems. It not only discusses big data security and privacy challenges, but also energy-efficient approaches to improving virtual machine placement in cloud computing environments. Big data and the Internet of Things (IoT) are ultimately two sides of the same coin, yet extracting, analyzing and managing IoT data poses a serious challenge. Accordingly, proper analytics infrastructures/platforms should be used to analyze IoT data. Information technology (IT) allows people to upload, retrieve, store and collect information, which ultimately forms big data. The use of big data analytics has grown tremendously in just the past few years. At the same time, the IoT has entered the public consciousness, sparking people’s imaginations as to what a fully connected world can offer. Further, the book discusses the analysis of real-time big data to derive actionable intelligence in enterprise applications in several domains, such as in industry and agriculture. It explores possible automated solutions in daily life, including structures for smart cities and automated home systems based on IoT technology, as well as health care systems that manage large amounts of data (big data) to improve clinical decisions. The book addresses the security and privacy of the IoT and big data technologies, while also revealing the impact of IoT technologies on several scenarios in smart cities design. Intended as a comprehensive introduction, it offers in-depth analysis and provides scientists, engineers and professionals the latest techniques, frameworks and strategies used in IoT and big data technologies.
Author: Neha Sharma
Publisher: CRC Press
ISBN: 1003856268
Category : Technology & Engineering
Languages : en
Pages : 386
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Book Description
Information and communication technology and the Internet of Things play key roles in smart city projects. It is challenging to handle the large amount of data generated by the different processes related to land use, the environment, the social and economic milieu, energy consumption, and transportation. This book emphasizes that green computing-based infrastructure initiatives benefit not only the environment but the enterprise as well. Green Computing for Sustainable Smart Cities: A Data Analytics Applications Perspective covers the need for smart green computing from various engineering disciplines and offers diversified applications for such computing with cases studies. The book highlights the sustainable development of smart cities using recent technology and emphasizes advances and cutting-edge techniques throughout. Focused on the different tools, platforms, and techniques associated with smart green computing, this book presents multiple perspectives from academia, industry, and research fields. The primary audience for this book includes academics, researchers, graduate students, smart city industry practitioners, and city administrators who are engaged in smart cities and related technology.
Author: Roshani Raut
Publisher: John Wiley & Sons
ISBN: 1119793122
Category : Computers
Languages : en
Pages : 279
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Book Description
Health Economics and Financing Encapsulates different case studies where green-IOT and machine learning can be used for making significant progress towards improvising the quality of life and sustainable environment. The Internet of Things (IoT) is an evolving idea which is responsible for connecting billions of devices that acquire, perceive, and communicate data from their surroundings. Because this transmission of data uses significant energy, improving energy efficiency in IOT devices is a significant topic for research. The green internet of things (G-IoT) makes it possible for IoT devices to use less energy since intelligent processing and analysis are fundamental to constructing smart IOT applications with large data sets. Machine learning (ML) algorithms that can predict sustainable energy consumption can be used to prepare guidelines to make IoT device implementation easier. Green Internet of Things and Machine Learning lays the foundation of in-depth analysis of principles of Green-Internet of Things (G-IoT) using machine learning. It outlines various green ICT technologies, explores the potential towards diverse real-time areas, as well as highlighting various challenges and obstacles towards the implementation of G-IoT in the real world. Also, this book provides insights on how the machine learning and green IOT will impact various applications: It covers the Green-IOT and ML-based smart computing, ML techniques for reducing energy consumption in IOT devices, case studies of G-IOT and ML in the agricultural field, smart farming, smart transportation, banking industry and healthcare. Audience The book will be helpful for research scholars and researchers in the fields of computer science and engineering, information technology, electronics and electrical engineering. Industry experts, particularly in R&D divisions, can use this book as their problem-solving guide.
Author: Sachi Nandan Mohanty
Publisher: John Wiley & Sons
ISBN: 1119785804
Category : Computers
Languages : en
Pages : 530
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Book Description
Machine Learning Approach for Cloud Data Analytics in IoT The book covers the multidimensional perspective of machine learning through the perspective of cloud computing and Internet of Things ranging from fundamentals to advanced applications Sustainable computing paradigms like cloud and fog are capable of handling issues related to performance, storage and processing, maintenance, security, efficiency, integration, cost, energy and latency in an expeditious manner. In order to expedite decision-making involved in the complex computation and processing of collected data, IoT devices are connected to the cloud or fog environment. Since machine learning as a service provides the best support in business intelligence, organizations have been making significant investments in this technology. Machine Learning Approach for Cloud Data Analytics in IoT elucidates some of the best practices and their respective outcomes in cloud and fog computing environments. It focuses on all the various research issues related to big data storage and analysis, large-scale data processing, knowledge discovery and knowledge management, computational intelligence, data security and privacy, data representation and visualization, and data analytics. The featured technologies presented in the book optimizes various industry processes using business intelligence in engineering and technology. Light is also shed on cloud-based embedded software development practices to integrate complex machines so as to increase productivity and reduce operational costs. The various practices of data science and analytics which are used in all sectors to understand big data and analyze massive data patterns are also detailed in the book.
Author: Surjeet Dalal
Publisher: CRC Press
ISBN: 1000352064
Category : Computers
Languages : en
Pages : 330
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Book Description
The bright future of green IoT will change our tomorrow environment to become healthier and green, with very high quality of service that is socially, environmentally, and economically sustainable. This book covers the most recent advances in IoT, it discusses Smart City implementation, and offers both quantitative and qualitative research. It focuses on greening things such as green communication and networking, green design and implementations, green IoT services and applications, energy saving strategies, integrated RFIDs and sensor networks, mobility and network management, the cooperation of homogeneous and heterogeneous networks, smart objects, and green localization. This book with its wide range of related topics in IoT and Smart City, will be useful for graduate students, researchers, academicians, institutions, and professionals that are interested in exploring the areas of IoT and Smart City.
Author: Rohit Sharma
Publisher: Springer Nature
ISBN: 3031338081
Category : Technology & Engineering
Languages : en
Pages : 330
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Book Description
This book provides techniques for the deployment of semantic technologies in data analysis along with the latest applications across the field such as Internet of Things (IoT). The authors focus on the use of the IoT and big data in business intelligence, data management, Hadoop, machine learning, cloud, smart cities, etc. They discuss how the generation of big data by IoT has ruptured the existing data processing capacity of IoT and recommends the adoption of data analytics to strengthen solutions. The book addresses the challenges in designing the web based IoT system, provides a comparative analysis of different advanced approaches in industries, and contains an analysis of databases to provide expert systems. The book aims to bring together leading academic scientists, researchers, and research scholars to exchange and share their experiences and research results on all aspects of IoT and big data analytics.
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.
