Energy Conservation Solutions for Fog-Edge Computing Paradigms - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Energy Conservation Solutions for Fog-Edge Computing Paradigms write by Rajeev Tiwari. This book was released on 2021-09-07. Energy Conservation Solutions for Fog-Edge Computing Paradigms available in PDF, EPUB and Kindle. This book focuses on energy efficiency concerns in fog–edge computing and the requirements related to Industry 4.0 and next-generation networks like 5G and 6G. This book guides the research community about practical approaches, methodological, and moral questions in any nations’ journey to conserve energy in fog–edge computing environments. It discusses a detailed approach required to conserve energy and comparative case studies with respect to various performance evaluation metrics, such as energy conservation, resource allocation strategies, task allocation strategies, VM migration, and load-sharing strategies with state-of-the-art approaches, with fog and edge networks.
Energy Efficient Computation Offloading in Mobile Edge Computing
Energy Efficient Computation Offloading in Mobile Edge Computing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Energy Efficient Computation Offloading in Mobile Edge Computing write by Ying Chen. This book was released on 2022-10-30. Energy Efficient Computation Offloading in Mobile Edge Computing available in PDF, EPUB and Kindle. This book provides a comprehensive review and in-depth discussion of the state-of-the-art research literature and propose energy-efficient computation offloading and resources management for mobile edge computing (MEC), covering task offloading, channel allocation, frequency scaling and resource scheduling. Since the task arrival process and channel conditions are stochastic and dynamic, the authors first propose an energy efficient dynamic computing offloading scheme to minimize energy consumption and guarantee end devices’ delay performance. To further improve energy efficiency combined with tail energy, the authors present a computation offloading and frequency scaling scheme to jointly deal with the stochastic task allocation and CPU-cycle frequency scaling for minimal energy consumption while guaranteeing the system stability. They also investigate delay-aware and energy-efficient computation offloading in a dynamic MEC system with multiple edge servers, and introduce an end-to-end deep reinforcement learning (DRL) approach to select the best edge server for offloading and allocate the optimal computational resource such that the expected long-term utility is maximized. Finally, the authors study the multi-task computation offloading in multi-access MEC via non-orthogonal multiple access (NOMA) and accounting for the time-varying channel conditions. An online algorithm based on DRL is proposed to efficiently learn the near-optimal offloading solutions. Researchers working in mobile edge computing, task offloading and resource management, as well as advanced level students in electrical and computer engineering, telecommunications, computer science or other related disciplines will find this book useful as a reference. Professionals working within these related fields will also benefit from this book.
Intelligent Transportation Systems: Theory and Practice
Intelligent Transportation Systems: Theory and Practice - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Intelligent Transportation Systems: Theory and Practice write by Amit Kumar Tyagi. This book was released on 2022-11-25. Intelligent Transportation Systems: Theory and Practice available in PDF, EPUB and Kindle. This book provides fundamental principles of intelligent transport systems with comprehensive insight and state of the art of vehicles, vehicular technology, connecting vehicles, and intelligent vehicles/autonomous intelligent vehicles. The book discusses different approaches for multiple sensor-based multiple-objects tracking, in addition to blockchain-based solutions for building tamper-proof sensing devices. It introduces various algorithms for security, privacy, and trust for intelligent vehicles. This book countermeasures all the drawbacks and provides useful information to students, researchers, and scientific communities. It contains chapters from national and international experts and will be essential for researchers and advanced students from academia, and industry experts who are working on intelligent transportation systems.
Computer Vision and Machine Intelligence Paradigms for SDGs
Computer Vision and Machine Intelligence Paradigms for SDGs - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Computer Vision and Machine Intelligence Paradigms for SDGs write by R. Jagadeesh Kannan. This book was released on 2023-01-01. Computer Vision and Machine Intelligence Paradigms for SDGs available in PDF, EPUB and Kindle. This book constitutes refereed proceedings of the 4th International Conference on Recent Trends in Advanced Computing - Computer Vision and Machine Intelligence Paradigms for Sustainable Development Goals. This book covers novel and state-of-the-art methods in computer vision coupled with intelligent techniques including machine learning, deep learning, and soft computing techniques. The contents of this book will be useful to researchers from industry and academia. This book includes contemporary innovations, trends, and concerns in computer vision with recommended solutions to real-world problems adhering to sustainable development from researchers across industry and academia. This book serves as a valuable reference resource for academics and researchers across the globe.
AI-Driven Digital Twin and Industry 4.0
AI-Driven Digital Twin and Industry 4.0 - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook AI-Driven Digital Twin and Industry 4.0 write by Sita Rani. This book was released on 2024-06-19. AI-Driven Digital Twin and Industry 4.0 available in PDF, EPUB and Kindle. This book presents the role of AI-Driven Digital Twin in the Industry 4.0 ecosystem by focusing on Smart Manufacturing, sustainable development, and many other applications. It also discusses different case studies and presents an in-depth understanding of the benefits and limitations of using AI and Digital Twin for industrial developments. AI-Driven Digital Twin and Industry 4.0: A Conceptual Framework with Applications introduces the role of Digital Twin in Smart Manufacturing and focuses on the Digital Twin framework throughout. It provides a summary of the various AI applications in the Industry 4.0 environment and emphasizes the role of advanced computational and communication technologies. The book offers demonstrative examples of AI-Driven Digital Twin in various application domains and includes AI techniques used to analyze the environmental impact of industrial operations along with examples. The book reviews the major challenges in the deployment of AI-Driven Digital Twin in the Industry 4.0 ecosystem and presents an understanding of how AI is used in the designing of Digital Twin for various applications. The book also enables familiarity with various industrial applications of computational and communication technologies and summarizes the ongoing research and innovations in the areas of AI, Digital Twin, and Smart Manufacturing while also tracking the various research challenges along with future advances. This reference book is a must-read and is very beneficial to students, researchers, academicians, industry experts, and professionals working in related fields.
