The rapid evolution of intelligent transportation and autonomous systems is transforming the architecture of modern mobility networks. As connected vehicles, unmanned aerial vehicles, and smart infrastructure become increasingly widespread, the demand for real-time data processing and ultra-low-latency communication has surpassed the capabilities of traditional cloud-centric models. Meeting the stringent reliability, responsiveness, and scalability requirements of these dynamic environments requires rethinking not only how data is transmitted, but also where computation occurs. Intelligent edge computing has emerged as a key enabler, bringing processing power closer to vehicles, drones, and infrastructure rather than relying solely on distant data centers. This shift is rapidly becoming a foundational paradigm for next-generation autonomous and connected systems. Intelligent Edge Computing for Autonomous Aerial and Vehicular Systems examines the transformative role of edge intelligence in shaping the future of mobility, with particular emphasis on the convergence of vehicular networks and unmanned aerial systems. This book explores how artificial intelligence, machine learning, and distributed computing can be deployed at the network edge to support real-time, mission-critical operations across vehicles, drones, and intelligent transportation infrastructure. Covering topics such as adversarial attacks, fog computing, and vehicular ad hoc networks, this book is an essential resource for graduate students, doctoral researchers, autonomous systems engineers, telecommunications professionals, policymakers, and industry practitioners.
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Nirbhay Kumar Chaubey is currently working as a Professor and Dean of Computer Science at Ganpat University, Gujarat India. Prior to joining Ganpat University, he worked as an Associate Dean of Computer Science at Gujarat Technological University, Ahmedabad, Gujarat, India. A dedicated person with the capability of taking on new challenges of academic, research, and administrative leadership with over 25 years of teaching regular Post Graduate courses of Computer Science. His research interests lie in the areas of Wireless Networks (Architecture, Protocol Design, QoS, Routing, Mobility, and Security), Cyber Security, Quantum Computing, IoT, Ad Hoc Networks, Sensor Networks, and Cloud Computing. Established a reputed Scopus Indexed Springer International Conference on Computing Science, Communication and Security (COMS2) being organized every year. Published 70+ research papers in reputed International Journal and Conference proceedings indexed in Scopus and Web of Science, published 10 book chapters in Scopus Index Book. Authored/ Edited 8 Scopus-indexed international texts, reference books of Springer, IGI Global, and Lap Lambert publishers, contributed 12 patents (5 granted) and 1 copyright (granted). His published research works are well cited by the research community worldwide which shows his exceptional research performance, Google citations: 740 and H-index: 18. Dr. Chaubey has been very active in the technical community and served on the editorial board of various international journals, program committee member for international conferences and an active technical reviewer of repute Journals of IEEE, Springer, Elsevier, and Wiley. Under his guidance 07 Ph.D. students, 14 M.Tech students, and 160 MCA students completed, 6 Ph.D. Research Scholars continue for their quality research work, and one Ph.D. research scholar received the AWSAR Award-2020 of the Department of Science and Technology (DST), Government of India under his guidance. Prof. Chaubey is a Senior Member of IEEE, a Senior Member of ACM, and a Life Member of the Computer Society of India. He has been actively associated with the IEEE India Council and IEEE Gujarat Section and served IEEE in various volunteer positions. He has received numerous awards including IEEE Outstanding Volunteer Award- Year 2015 (IEEE Region 10 Asia Pacific), Gujarat Technological University (GTU) Pedagogical Innovation Awards (PIA) -2015, IEEE Outstanding Branch Counselor Award - the Year 2010 (IEEE Region 10 Asia Pacific).
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Hardcover. Condizione: new. Hardcover. The rapid evolution of intelligent transportation and autonomous systems is transforming the architecture of modern mobility networks. As connected vehicles, unmanned aerial vehicles, and smart infrastructure become increasingly widespread, the demand for real-time data processing and ultra-low-latency communication has surpassed the capabilities of traditional cloud-centric models. Meeting the stringent reliability, responsiveness, and scalability requirements of these dynamic environments requires rethinking not only how data is transmitted, but also where computation occurs. Intelligent edge computing has emerged as a key enabler, bringing processing power closer to vehicles, drones, and infrastructure rather than relying solely on distant data centers. This shift is rapidly becoming a foundational paradigm for next-generation autonomous and connected systems. Intelligent Edge Computing for Autonomous Aerial and Vehicular Systems examines the transformative role of edge intelligence in shaping the future of mobility, with particular emphasis on the convergence of vehicular networks and unmanned aerial systems. This book explores how artificial intelligence, machine learning, and distributed computing can be deployed at the network edge to support real-time, mission-critical operations across vehicles, drones, and intelligent transportation infrastructure. Covering topics such as adversarial attacks, fog computing, and vehicular ad hoc networks, this book is an essential resource for graduate students, doctoral researchers, autonomous systems engineers, telecommunications professionals, policymakers, and industry practitioners. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9798260006856
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Hardcover. Condizione: new. Hardcover. The rapid evolution of intelligent transportation and autonomous systems is transforming the architecture of modern mobility networks. As connected vehicles, unmanned aerial vehicles, and smart infrastructure become increasingly widespread, the demand for real-time data processing and ultra-low-latency communication has surpassed the capabilities of traditional cloud-centric models. Meeting the stringent reliability, responsiveness, and scalability requirements of these dynamic environments requires rethinking not only how data is transmitted, but also where computation occurs. Intelligent edge computing has emerged as a key enabler, bringing processing power closer to vehicles, drones, and infrastructure rather than relying solely on distant data centers. This shift is rapidly becoming a foundational paradigm for next-generation autonomous and connected systems. Intelligent Edge Computing for Autonomous Aerial and Vehicular Systems examines the transformative role of edge intelligence in shaping the future of mobility, with particular emphasis on the convergence of vehicular networks and unmanned aerial systems. This book explores how artificial intelligence, machine learning, and distributed computing can be deployed at the network edge to support real-time, mission-critical operations across vehicles, drones, and intelligent transportation infrastructure. Covering topics such as adversarial attacks, fog computing, and vehicular ad hoc networks, this book is an essential resource for graduate students, doctoral researchers, autonomous systems engineers, telecommunications professionals, policymakers, and industry practitioners. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9798260006856
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Hardcover. Condizione: new. Hardcover. The rapid evolution of intelligent transportation and autonomous systems is transforming the architecture of modern mobility networks. As connected vehicles, unmanned aerial vehicles, and smart infrastructure become increasingly widespread, the demand for real-time data processing and ultra-low-latency communication has surpassed the capabilities of traditional cloud-centric models. Meeting the stringent reliability, responsiveness, and scalability requirements of these dynamic environments requires rethinking not only how data is transmitted, but also where computation occurs. Intelligent edge computing has emerged as a key enabler, bringing processing power closer to vehicles, drones, and infrastructure rather than relying solely on distant data centers. This shift is rapidly becoming a foundational paradigm for next-generation autonomous and connected systems. Intelligent Edge Computing for Autonomous Aerial and Vehicular Systems examines the transformative role of edge intelligence in shaping the future of mobility, with particular emphasis on the convergence of vehicular networks and unmanned aerial systems. This book explores how artificial intelligence, machine learning, and distributed computing can be deployed at the network edge to support real-time, mission-critical operations across vehicles, drones, and intelligent transportation infrastructure. Covering topics such as adversarial attacks, fog computing, and vehicular ad hoc networks, this book is an essential resource for graduate students, doctoral researchers, autonomous systems engineers, telecommunications professionals, policymakers, and industry practitioners. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Codice articolo 9798260006856
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Buch. Condizione: Neu. Intelligent Edge Computing for Autonomous Aerial and Vehicular Systems | Nirbhay Kumar Chaubey (u. a.) | Buch | Englisch | 2026 | IGI GLOBAL SCIENTIFIC PUBLISHING | EAN 9798260006856 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Codice articolo 138072581
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Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The rapid evolution of intelligent transportation and autonomous systems is transforming the architecture of modern mobility networks. As connected vehicles, unmanned aerial vehicles, and smart infrastructure become increasingly widespread, the demand for real-time data processing and ultra-low-latency communication has surpassed the capabilities of traditional cloud-centric models. Meeting the stringent reliability, responsiveness, and scalability requirements of these dynamic environments requires rethinking not only how data is transmitted, but also where computation occurs. Intelligent edge computing has emerged as a key enabler, bringing processing power closer to vehicles, drones, and infrastructure rather than relying solely on distant data centers. This shift is rapidly becoming a foundational paradigm for next-generation autonomous and connected systems. Intelligent Edge Computing for Autonomous Aerial and Vehicular Systems examines the transformative role of edge intelligence in shaping the future of mobility, with particular emphasis on the convergence of vehicular networks and unmanned aerial systems. This book explores how artificial intelligence, machine learning, and distributed computing can be deployed at the network edge to support real-time, mission-critical operations across vehicles, drones, and intelligent transportation infrastructure. Covering topics such as adversarial attacks, fog computing, and vehicular ad hoc networks, this book is an essential resource for graduate students, doctoral researchers, autonomous systems engineers, telecommunications professionals, policymakers, and industry practitioners. Codice articolo 9798260006856
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