IoT Edge Intelligence
Springer International Publishing (Verlag)
978-3-031-58387-2 (ISBN)
This book explores fundamental and advanced concepts related to the AI-enabled Edge Technology paradigm, also known as Edge Intelligence, within the framework of the Internet of Things (IoT). Expanding the application of Edge computing is increasingly necessary. This can involve exploring automated, intelligent computational learning theorems, and ANN-oriented, trustworthy machine learning perspectives to enhance computational intelligence. The book functions as a valuable resource for professionals in the sector and also acts as a comprehensive learning tool for newcomers in the field of AI-enabled Edge Technologies and their applications, covering both fundamental and advanced concepts. This book uses data and network engineering and intelligent decision support system-by-design principles to design a reliable IoT edge-cloud ecosystem and to implement cyber-physical pervasive infrastructure solutions. The book will help readers understand the design architecture and AI algorithms and learn analytics through IoT edge, device-edge and the state-of-the-art in cloud-IoT countermeasures. The book is a valuable reference for anyone doing undergraduate or postgraduate studies, conducting research, or working in the computer science, information technology, electronics engineering, and complicated mathematical modeling domains.
Souvik Pal is an Associate Professor in the Department of Computer Science and Engineering at Sister Nivedita University (Techno India Group), Kolkata, India. Prior to that, he was associated with Global Institute of Management and Technology; Brainware University, Kolkata; JIS College of Engineering, Nadia; Elitte College of Engineering, Kolkata; and Nalanda Institute of Technology, Bhubaneswar, India. Dr. Pal received his M.Tech, and Ph.D degrees in the field of Computer Science and Engineering from KIIT University, Bhubaneswar, India. He has more than a decade of academic experience. He is author or co-editor of more than 15 books from reputed publishers, including Elsevier, Springer, CRC Press, and Wiley, and he holds three patents. He is serving as a Series Editor for "Advances in Learning Analytics for Intelligent Cloud-IoT Systems", published by Scrivener-Wiley Publishing (Scopus-indexed); "Internet of Things: Data-Centric Intelligent Computing, Informatics, and Communication", published CRC Press, Taylor & Francis Group, USA; "Conference Proceedings Series on Intelligent Systems, Data Engineering, and Optimization", published CRC Press, Taylor & Francis Group, USA; Dr. Pal has published a number of research papers in Scopus / SCI/SCIE Journals and conferences. He is the organizing chair of RICE 2019, Vietnam; RICE 2020 Vietnam; ICICIT 2019, Tunisia. He has been invited as a keynote speaker at ICICCT 2019, Turkey, and ICTIDS 2019, 2021 Malaysia. He has also served as Proceedings Editor of ICICCT 2019, 2020; ICMMCS 2020, 2021; ICWSNUCA 2021, India. His professional activities include roles as Associate Editor, Guest Editor, and Editorial Board member for more than 100+ international journals and conferences of high repute and impact. His research area includes cloud computing, big data, internet of things, wireless sensor network, and data analytics. He is a member of many professional organizations, including MIEEE; MCSI; MCSTA/ACM, USA; MIAENG, Hong Kong;MIRED, USA; MACEEE, New Delhi; MIACSIT, Singapore; and MAASCIT, USA.
Claudio Savaglio is a Tenure-Track Assistant Professor at the Department of Computer Science, Modeling, Electronics and Systems Engineering (DIMES) of the Università della Calabria, and a Researcher at ICAR-CNR (Institute for high performance computing and net-working of the Italian National Research Council), Italy. He received the Master degree in Computer Engineering (2013) and the Ph.D. degree in ICT (2018) both from the University of Calabria (Unical), Italy, where he was also Postdoctoral Research Fellow. In 2020 he obtained the Italian National Scientific Habilitation to Associate Professor in information processing systems. Dr. Savaglio was a Visiting Researcher at the University of Texas at Dallas (TX, USA) in 2013, at the New Jersey Institute of Technology (NJ, USA) in 2016, and at the Universitat Politècnica de València (Spain) in 2017. His research interests include the Internet of Things (IoT), network simulation, edge intelligence, and agent-oriented development methodologies. He has co-authored 70+ scientific papers on the aforementioned topics which have been published in international journals, book chapters and conference proceedings. He currently serves as Associate Editor for the IEEE Transactions on Systems, Man and Cybernetics: Systems and Guest Editor for the Journal of Computers & Electrical Engineering (CAEE), Sensors and IET journal. He has also served as a technical program committee member and reviewer for many premium conferences and journals in the areas of IoT, computer communications and networks. He is a member of the Ph. D. board in ICT at University of Calabria and of the Italian Ph.D. board in Autonomous Systems (DAUSY).
Roberto Minerva (Senior Member, IEEE) received the M.S. (summa cum laude) degree in computer science from the University of Bari, Italy, in 1987, and the Ph.D. degree in computer science and telecommunic
Part 1 Architecture, Systems, and Services.- Chapter 1 Modeling, Simulating, and Evaluating Complex End-to-End Edge Intelligence Systems.- Chapter 2 Exploring Edge AI Inference in Heterogeneous Environments: Requirements, Challenges, and Solutions.- Chapter 3 Artificial Intelligence Enabled Edge Computing: Necessity of Next Generation Future Computing System.- Chapter 4 Artificial Intelligence-based IoT-Edge Environment for Industry 5.0.- Chapter 5 Service Provisioning at the Edge: An AI
Approach based on Policies.- Chapter 6 Unsupervised Time Series Anomaly Detection for Edge Computing Applications - A Review.- Part 2 Security and Privacy paradigm.- Chapter 7 Secure, Trusted, Privacy-Protected Data Exchange in an Edge-Cloud Continuum Environment.- Chapter 8 Security, Privacy, Trust and Provenance issues in Internet of Things based Edge Environment.- Chapter 9 Secure Neural Network Inference for Edge Intelligence: Implications of Bandwidth and Energy Constraints.- Part 3 Applications.- Chapter 10 Internet of Things in Intelligent Transportation Systems.- Chapter 11 IoT- Driven Analytics and Edge Intelligence in Autonomous Navigation Systems.- Chapter 12 Edge-AI for Monitoring Air Pollution from Urban Waste Incineration : A Survey.- Chapter 13 Enabling Artificial Intelligence on IoT Edge: Smart Approaches and Solutions for Providing Remote Dental and Medical Services.
| Erscheinungsdatum | 04.06.2024 |
|---|---|
| Reihe/Serie | Internet of Things |
| Zusatzinfo | XIII, 388 p. 65 illus., 51 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Technik ► Elektrotechnik / Energietechnik |
| Technik ► Nachrichtentechnik | |
| Schlagworte | Artificial Intelligence • Computational Intelligence • edge computing • Edge Devices • internet of things |
| ISBN-10 | 3-031-58387-6 / 3031583876 |
| ISBN-13 | 978-3-031-58387-2 / 9783031583872 |
| Zustand | Neuware |
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