IoT Edge Intelligence (Internet of Things) - Hardcover

Über die Autorin bzw. den Autor

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 telecommunications fromPierre and Marie Curie University-Sorbonne University, Paris, France, in 2013. From 1987 to 1996, he was a Researcher in the area of service architectures and network intelligence within the Telecom Italia Research Center. In the following years, he was appointed responsible of several research groups related to network intelligence and evolution to next generation networks. From 2013 to 2016, he was appointed to the Strategic Initiatives of TIM. In 2016, he was the Technical Project Leader of SoftFIRE and a European Project devoted to the experimentation of NFV, SDN, and edge computing. Since 2018, he has been an Associate Professor of Softwarization within the Service Architecture Lab of the Wireless Networks and Multimedia Services Department of Institut Mines Telecom Sud Paris part of Institute Polytechnique de Paris, Evry, Paris, France. He is the author of the book Networks and New Services: A Complete Story. He is the author of more than 50 articles in journals and international conferences. Dr. Minerva has been the Chairperson of the IEEE IoT Initiative in the period (2014 -2016). He is currently a member of the Scientific Committee of the Fondazione Bruno Kessler, Trento, Italy.

Flávia C. Delicato is an Associate Professor at the Fluminense Federal University, Brazil. Her main research interests are Edge/Fog Computing, Internet of Things, adaptive middleware, sensor and network virtualization. She has 2 books and over 230 published papers. She coordinates and participates in R&D projects funded by companies such as EMC, Dell and Petrobras. Her research has also received funding from Brazilian and international development agencies, including CNPq, RNP, FAPESP, FAPERJ, CENPES, MCT, Fundacion Carolina and The Australian Agency for International Development (AusAID). She has served as General and Program Chairs at several national and international conferences. She      serves/has served as Associate Editor of the following journals: Ad hoc Networks, ACM Computer Surveys, IEEE Transactions on Service Computing, IEEE Open Journal of the Communications Society, ITU Journal on Future and Evolving Technologies and Journal of Interconnection Networks, besides acting as Guest Editor for Special Issues of Journals such as Future Generation Computer Systems and IEEE Transactions on Consumer Electronics. Since 2017 she is a member of the IEEE Technical Committee on Smart World - SWTC. Since 2020 she has been one of the Chairs of the IEEE Special Committee on Hyper-Intelligence (Hyper-Intelligence Technical Committee -HITC).

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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.

• Serves as a manual for both basic and advanced aspects in edge-enabled technologies;

• Explores intelligent object identification and object discovery through the edge computing ecosystem;

• Addresses the complete functional framework and knowledge hierarchy for edge computing and IoT edge.