Green Internet Of Things And Machine Learning
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Green Internet Of Things And Machine Learning
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Author : Roshani Raut
language : en
Publisher: John Wiley & Sons
Release Date : 2022-01-10
Green Internet Of Things And Machine Learning written by Roshani Raut and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-10 with Computers categories.
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.
Green Internet Of Things For Smart Cities
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Author : Surjeet Dalal
language : en
Publisher: CRC Press
Release Date : 2021-06-29
Green Internet Of Things For Smart Cities written by Surjeet Dalal and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-29 with Computers categories.
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.
Green Internet Of Things Sensor Networks
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Author : Adamu Murtala Zungeru
language : en
Publisher: Springer Nature
Release Date : 2020-10-14
Green Internet Of Things Sensor Networks written by Adamu Murtala Zungeru and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-14 with Technology & Engineering categories.
This book presents methods for advancing green IoT sensor networks and IoT devices. Three main methods presented are: a standalone system to support IoT devices that is informed by the amount of energy the solar array system can produce; a model of securing a building's main power supply against unauthorized use; and security of the IoT devices and their networks. For each, the authors outline the methods, presents security and privacy issues, and their solutions. The work suggests a layered approach to expose security issues and challenges at each layer of the IoT architecture and proposes techniques used to mitigate these challenges. Finally, perspectives are drawn and discussed for future directions in securing IoT sensor networks, covering evolving areas such as artificial intelligence, blockchain technology, sensor Internet of People, context-aware sensing, cloud infrastructure, security and privacy, and the Internet of Everything.
Machine Learning And The Internet Of Things In Education
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Author : John Bush Idoko
language : en
Publisher: Springer Nature
Release Date : 2023-09-30
Machine Learning And The Internet Of Things In Education written by John Bush Idoko and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-30 with Technology & Engineering categories.
This book is designed to provide rich research hub for researchers, teachers, and students to ease research hassle/challenges. The book is rich and comprehensive enough to provide answers to frequently asked research questions because the content of the book touches several disciplines cutting across computing, engineering, medicine, education, and sciences in general. The rich multidisciplinary contents of the book promise to leave all users satisfied. The valuable features in the book include but not limited to: demonstration of mathematical expressions for implementation of machine learning models, integration of learning techniques, and projection of future AI and IoT technologies. These technologies will enable systems to be simulative, predictive, and self-operating smart systems. The primary audience of the book include but not limited to researchers, teachers, and postgraduate and undergraduate students in computing, engineering, medicine, education, and science fields.
Green Machine Learning Protocols For Future Communication Networks
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Author : Saim Ghafoor
language : en
Publisher: CRC Press
Release Date : 2023-10-25
Green Machine Learning Protocols For Future Communication Networks written by Saim Ghafoor and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-25 with Computers categories.
Machine learning has shown tremendous benefits in solving complex network problems and providing situation and parameter prediction. However, heavy resources are required to process and analyze the data, which can be done either offline or using edge computing but also requires heavy transmission resources to provide a timely response. The need here is to provide lightweight machine learning protocols that can process and analyze the data at run time and provide a timely and efficient response. These algorithms have grown in terms of computation and memory requirements due to the availability of large data sets. These models/algorithms also require high levels of resources such as computing, memory, communication, and storage. The focus so far was on producing highly accurate models for these communication networks without considering the energy consumption of these machine learning algorithms. For future scalable and sustainable network applications, efforts are required toward designing new machine learning protocols and modifying the existing ones, which consume less energy, i.e., green machine learning protocols. In other words, novel and lightweight green machine learning algorithms/protocols are required to reduce energy consumption which can also reduce the carbon footprint. To realize the green machine learning protocols, this book presents different aspects of green machine learning for future communication networks. This book highlights mainly the green machine learning protocols for cellular communication, federated learning-based models, and protocols for Beyond Fifth Generation networks, approaches for cloud-based communications, and Internet-of-Things. This book also highlights the design considerations and challenges for green machine learning protocols for different future applications.
Green Internet Of Things Iot Technologies Challenges And Application
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Author :
language : en
Publisher: Paarth Publications
Release Date : 2025-07-31
Green Internet Of Things Iot Technologies Challenges And Application written by and has been published by Paarth Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-31 with Antiques & Collectibles categories.
The Internet of Things (IoT) is a network of physical devices that are connected to the Internet and can collect and exchange data. Sensors are playing a key role in the IoT by enabling devices to sense and interact with their environment in new and innovative ways. Although IoT technology has been utilized in various industries for several years, the advantages of implementing IoT innovations in the realm of Health, Green energy, daily life are only now becoming apparent. Internet of Things (IoT) presents a promising path toward achieving environmental sustainability, often referred to as "Green IoT." The adoption of Internet of Things (IoT) technology in the renewable energy sector is positioned to revolutionize the way we generate, distribute, and consume clean energy. While the potential beneits are immense, including improved ef iciency, reduced environmental impact, and enhanced grid management, the journey towards full IoT integration faces signi icant challenges. Renewable energy sources such as solar, wind, hydro, and geothermal power are rapidly gaining prominence, with their adoption growing exponentially across the globe [105]. The decentralized nature of many renewable energy systems, characterized by distributed energy resources, poses both unique opportunities and challenges [83]. IoT, through its network of interconnected devices, sensors, and data analytics, has the potential to enable real-time monitoring, control, and optimization of these resources. This, in turn, can lead to improved energy generation, reduced environmental impact, and greater grid stability. In this book, we will discuss various opportunities, challenges in application of Green IOT in Renewable energy
Green Iot And Ai For Sustainable Development Of Smart Cities
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Author : Vijay Prakash Gupta
language : en
Publisher: Springer Nature
Release Date : 2025-07-21
Green Iot And Ai For Sustainable Development Of Smart Cities written by Vijay Prakash Gupta and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-21 with Architecture categories.
A Smart City is an urban area in which digital technology is used to connect the infrastructure and services to improve the efficiency of the city’s operations and the quality of life of its population in terms of mobility, energy, security, housing, and more. This book describes the systems and the infrastructure requirements of smart cities and explores how the integration of the Green Internet of Things (G-IoT) and Artificial Intelligence (AI) help improve the efficiency and safety of cities’ systems, as well as reduce costs. The book provides useful information for researchers, policymakers, urban planners, and technology leaders.
Green Industrial Applications Of Artificial Intelligence And Internet Of Things
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Author : Biswadip Basu Mallik
language : en
Publisher: Bentham Science Publishers
Release Date : 2024-07-22
Green Industrial Applications Of Artificial Intelligence And Internet Of Things written by Biswadip Basu Mallik and has been published by Bentham Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-22 with Computers categories.
This book explores the intersection of the Internet of Things (IoT) and Artificial Intelligence (AI) in sustaining a green environment, sustainable societies, and thriving industries. It offers a comprehensive exploration of how these technologies intersect and transform various sectors to enhance environmental conservation, societal well-being, and industrial progress. The book features a diverse array of case studies, methodologies, and notes on technological advancements. Readers will gain valuable insights into the impact of AI and IoT on sustainable initiatives through real-world examples, research findings, and discussions on future directions. Key themes AI in complex and versatile scenarios: Chapters 1 and 4 explore AI applications in combatant identification and COVID-19 monitoring IoT for efficiency and data-driven decision-making: Chapters 2, 3, and 7 focus on IoT implementations in battery monitoring for electric vehicles, healthcare systems, and precision farming AI for diagnostics and computer vision: Chapters 5, 9, and 13 highlight AI-driven solutions for plant disease detection, fetal spine disorder detection, and defect detection Industry applications: Chapters 6, 8, 10, 11, 12, 14, 15, 16, and 17 cover AI and IoT in healthcare, transportation, supply chain management, endangered species protection, crop management, and pollution detection, showcasing their transformative potential across various domains. This book is ideal for readers with multidisciplinary backgrounds, including researchers, academics, professionals, and students interested in IoT, AI, environmental sustainability, healthcare, agriculture, smart technologies, and industrial innovation.
Green Machine Learning And Big Data For Smart Grids
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Author : V. Indragandhi
language : en
Publisher: Elsevier
Release Date : 2024-11-15
Green Machine Learning And Big Data For Smart Grids written by V. Indragandhi and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-15 with Technology & Engineering categories.
Green Machine Learning and Big Data for Smart Grids: Practices and Applications is a guidebook to the best practices and potential for green data analytics when generating innovative solutions to renewable energy integration in the power grid. This book begins with a solid foundation in the concept of "green" machine learning and the essential technologies for utilizing data analytics in smart grids. A variety of scenarios are examined closely, demonstrating the opportunities for supporting renewable energy integration using machine learning, from forecasting and stability prediction to smart metering and disturbance tests.Uses for control of physical components including inverters and converters are examined, along with policy implications. Importantly, real-world case studies and chapter objectives are combined to signpost essential information, and to support understanding and implementation. - Packages core concepts of green machine learning and smart grids in a clear, understandable way - Includes real-world, practical applications and case studies for replication and innovative solution development - Introduces readers with a range of expertise to best practices and the latest technological advances
Energy Efficient Deep Learning Approaches In Iot Fog And Green Blockchain Revolution
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Author : Sathio, Anwar Ali
language : en
Publisher: IGI Global
Release Date : 2025-04-18
Energy Efficient Deep Learning Approaches In Iot Fog And Green Blockchain Revolution written by Sathio, Anwar Ali and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-18 with Technology & Engineering categories.
The convergence of Internet of Things (IoT), fog computing, and blockchain technology can be used to revolutionize energy efficiency and sustainability. The implementation of deep learning (DL) techniques may optimize the energy consumption of these interconnected systems. Thus, they can be used to create green, energy-efficient solutions for various industries, including smart cities, healthcare, finance, and industrial IoT (IIoT). Focusing on the energy efficiency and environmental impact of these technologies, they provide valuable insights into creating sustainable and scalable systems. Energy-Efficient Deep Learning Approaches in IoT, Fog, and Green Blockchain Revolution bridges the knowledge gap between traditional IoT and blockchain research and the emerging need for energy-efficient and green technologies. It influences future research directions, encourages collaboration across disciplines, and inspires innovations that prioritize sustainability. Covering topics such as software-defined networking (SDN), ecosystem conservation, and monitoring systems, this book is an excellent resource for computer scientists, policymakers, technologists, industry practitioners, engineers, environmentalists, sustainability advocates, professionals, researchers, scholars, academicians, and more.