Data-Driven IoT Ecosystems: Integrating Device, Edge, and Cloud Paradigms: Advances in Computational Collective Intelligence
Editat de Subrata Chowdhury, J. Naskath, Kathrin Kind, Joanna Rosak-Szyrocka, Soumi Duttaen Limba Engleză Hardback – 30 oct 2026
Data-Driven IoT Ecosystems: Integrating Device, Edge, and Cloud explores advances in IoT technology and emphasizes the role of data science and machine learning in bridging device, edge, and cloud layers. The book covers a wide range of applications, including industrial robotic systems, health IoT analytics, sustainable green IoT solutions, environmental control and safety management, and cyber-physical systems. It also presents strategies for integration, security and deploying intelligent IoT applications in real-world environments.
By integrating theoretical perspectives with applied research, the book is a resource for academics, researchers, practitioners, and students seeking to harness the full potential of data-driven IoT ecosystems. It examines how intelligent integration across devices and edge and cloud platforms can enhance performance, optimize resource management, strengthen cybersecurity, and support sustainable development. The book charts a pathway toward the next generation of IoT ecosystems by demonstrating how data-driven intelligence can enable smarter, safer, and more resilient technological infrastructures.
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Specificații
ISBN-13: 9781003863427
ISBN-10: 1003863426
Pagini: 292
Ilustrații: 104
Dimensiuni: 156 x 234 mm
Ediția:1
Editura: CRC Press
Colecția Auerbach Publications
Seria Advances in Computational Collective Intelligence
ISBN-10: 1003863426
Pagini: 292
Ilustrații: 104
Dimensiuni: 156 x 234 mm
Ediția:1
Editura: CRC Press
Colecția Auerbach Publications
Seria Advances in Computational Collective Intelligence
Public țintă
AcademicCuprins
1. The Convergence of Internet of Things (IoT): An Overview 2. Foundations of IoT: Technologies, Issues, and Integration 3. IoT in Smart Environments: A Comprehensive Survey 4. Resource Management Simulation Across the IoT-Edge-Cloud Continuum 5. Design and Implement IoT Networks for Environmental Control and Safety Management: Archival and Aviation Hangars 6. Enabling Sustainable Development Using Green IoT 7. Building Smart Applications with Data Science and Machine Learning in IoT 8. Data Analytics in Industrial IoT and Cyber Twins: Current Issues and Future Outlook Towards 2030 9. Data Insights Across Health IoT Layer 10. IoT-Based Robotic Arm for Industrial Applications in Restricted Areas 11. A Study of Force Feedback in Haptic Joystick for an Unmanned Aerial Vehicle Quadrotor 12. Cyber Security in Internet of Things Platforms: Strategies and Frameworks 13. Symbiotic Relationships in IoT: Trends and Future Directions
Notă biografică
Dr. Subrata Chowdhury is an Associate Professor at the Department of Computer Science and Engineering,
Sri Venkateswara College of Engineering & Technology (Autonomous), R.V.S. Nagar, Tirupati Road, Andhra
Pradesh – 517127, India, and in the Department of Computer Science and Engineering, Sreenivasa Institute
of Technology and Management Studies, Chittoor, Andhra Pradesh, India. He completed his Bachelor of Computer Applications from IK Gujral Punjab Technical University, a state university, in 2008, his Master of Computer Applications from VIT Vellore in 2015, his M.Tech from JNTU Ananatapur in 2024, and his PhD in Computer Science from VISTAS, Chennai, Tamil Nadu, India in 2021. Currently, he is pursuing his PhD from NIT, Arunachal Pradesh, India. He has written and edited more than 15 books on different topics and technologies. He has published more than 100 articles in SCI conferences, book chapters in Scopus and National and International Conferences, published patents, and has also been granted patents. He had H-index of 20; he is a UN lab member for Sustainability and he has written 7 books and edited around 20 books; he is a reviewer for Springer, Elsevier, Taylor & Francis Group, MDPI. He also served as the session chair for many IEEE, Springer, and ACM conferences, had given keynote talks and FDPs, and conducted workshops and seminars for many institutions and organizations. He has associations with software companies for consulting services; he is a guide to many graduate and postgraduate students; and he is the external supervisor for many PhD students. He is the Postdoctoral Research Supervisor for SIT Singapore and Lincoln University College, Malaysia. He is currently associated with the Study Council for Rural Development projects. He had been a member of IEEE, IET, ISTE, IAENG, and ACM, and an editor for Springer, Elsevier, IEEE Transactions, ACM, and other
reputed journals. He had reviewed more than 100 papers for many reputed publishers and conferences.
Dr. J. Naskath, Professor in the Department of Artificial Intelligence and Data Science at National Engineering
College, Tamil Nadu, India, and coordinator of the Center for IIoT, Robotics and Automation, is a distinguished academic with 17 years of teaching and research experience. She holds her undergraduate, postgraduate, and doctoral degrees in Computer Science and Engineering from Anna University, Chennai. Her research focuses on Wireless Sensor Networks, Ad hoc Networks, IoT, Intelligent Vehicle Systems, and Data Science. She has guided several research scholars, completed funded projects worth ₹13.5 lakhs, and contributed innovations, including patents on a Smart Waste Collecting Bin and an Apparatus for Marshaling a Parrock. Dr. Naskath has published over 30 papers in SCI, Scopus, IEEE, and peer-reviewed journals, authored 2 book chapters, edited 3 books, organized more than 10 technical programs, and delivered 15 expert lectures. She is a reviewer for leading journals, including Springer, PLOS One, and IEEE, and her contributions have earned her several awards, establishing her as a respected researcher and academic leader.
Dr. Kathrin Kind is a multi-award-winning expert in AI applied to business. She started her career in 1999 in quality engineering for international mobile communication networks at Siemens. Later on, she developed complete
vehicle functions for ADAS, engine management, steering, braking, cockpit infotainment, and autonomous driving at several automotive suppliers, including Bosch, ZF-TRW, and Magneti Marelli, and at automotive OEMs such as
BMW in Munich, Mercedes-Benz Cars in Sindelfingen, and Audi in Ingolstadt. She was a senior research scientist
in AI for the Volkswagen Group in Wolfsburg. She is currently Chief Data Scientist and AI Director for Cognizant
in the Global Growth Markets, and the Technical Editor for CRC Press and Springer Nature. She is a volunteer mentor for the KALAI initiative with ICT, a Guest Lecturer at the University of Agder in Norway and the University of Delhi, New Delhi, India, and an author and co-author of technical books in autonomous systems and data. She has a doctorate in AI applied to business from SSBM Geneva and the faculty of business from the University of Zagreb, an MBA in AI from the University of Cumbria, an MSc in computer science and software engineering from the University of Hertfordshire, and a Master of Arts in leading innovation and change from York St. John. She has a PG Diploma in Digitalization Leadership from Columbia University and a PG Diploma in Systems Engineering from MIT, USA.
Dr. Joanna Rosak-Szyrocka holds an H26 index on Google Scholar, an H15 index on Web of Science, and an
H20 index on Scopus. She is an Assistant Professor, Erasmus+ coordinator at the Faculty of Management,
Częstochowa University of Technology, Poland. She specialized in the fields of digitalization, Industry 5.0, Quality
4.0, education, IoT, AI, and quality management. She is also the Deputy Executive Editor of the journal Management Systems in Production Engineering. Her research interests include digitalization, sustainable development, Industry 5.0, Quality 4.0, higher education, and artificial intelligence. She has completed research internships at the University of Žilina (Slovakia) and the Silesian University of Technology (Poland). She participated in multiple Erasmus+ teacher mobility programs: Italy, UK, Slovenia, Hungary, Czech Republic, Slovakia, and France. She cooperates with many universities both in the country and abroad. She serves on the editorial board of PlOS One PeerJ journals, is the associate editor for Cogent Business and Management, Taylor & Francis Group, and a guest editor of Entertainment Computing (Elsevier), Resources (MDPI), IJERPH (MDPI), Energies (MDPI), Sustainability (MDPI), Discover Sustainability (Springer), Frontiers, Measurement (Elsevier). She is a reviewer for a number of prestigious publishers such as IEEE, Elsevier, MDPI, Frontiers, Sage, Springer, and Emerald. She was a member of the Research Team at the Faculty of Management of the Częstochowa University of Technology in 2022 and the interdisciplinary team in 2022; member of the team for surveying deans’ offices and the course of studies in the field of occupational health and safety; member of the technical team for evaluation at the Faculty of Management of the Częstochowa University of Technology; andmember of IEEE Advancing Technology for Humanity in 2022, Association of Quality and Production Managers. She is a participant of the scientific project VEGA No. 1/0067/11 Dynamics and Content of Decision-making Processes in
Motivating Human Potential, granted by the Ministry of Education of the Slovak Republic. She is a co-editor and contributor to 12 scientific monographs published by Routledge and Taylor & Francis Group and has authored or co-authored over 100 publications in high-impact academic journals. Since the beginning of her academic career,
she has consistently received Rector’s Awards for scientific excellence. In 2012, she received the Dean’s Award from the Faculty of Management at Częstochowa University of Technology for her publication achievements. In 2019, she was honored with a diploma for the substantive supervision of a diploma thesis awarded in the national
IKAR JAKOŚĆ competition. In 2023, she received the Bronze Medal of the President of the Republic of Poland for distinguished long-term service.
Dr. Soumi Dutta is Associate Professor at Sister Nivedita University, India. She has completed her PhD (CST),
IIEST, Shibpur, West Bengal, India. She received her B.Tech (IT) and M.Tech (CSE), securing the First position
(Gold medalist) from MAKAUT. She is certified as a Publons Academy Peer Reviewer, 2020, and a Certified
Microsoft Innovative Educator, 2020. Her research interests are Data Mining, Information Retrieval, Online Social
Media Analysis, and Image Processing. She has published 51 conference and journal papers with Springer, IEEE, IGI Global, Taylor & Francis Group, and others. She has published 17 books with Palgrave Macmillan, Springer, IET, and IGI Global. She is a peer reviewer and a TPC member for various international journals. She was the editor in CIPR 2020, CIPR 2019, IEMIS 2020, CIIR 2021, IEMIS 2018, IEMIS 2022, ICIDA 2022, ICIDA 2023, CIIR 2023, and special issues in IJWLTT. She is a member of several technical functional bodies, including CSI, ACM, IEEE, IFERP, MACUL, SDIWC, Internet Society, ICSES, ASR, AIDASCO, USERN, IRAN, and IAENG. She has published seven patents and one Copyright. She has one authored book in Elsevier. Dr. Soumi Dutta has delivered 39 keynote talks at different international conferences. She has been awarded the Rashtriya Shiksha Ratna Award, InSc Research Education Excellence Award, and International Teacher Award 2020–2021 by the Ministry of MSME, Government of India.
Sri Venkateswara College of Engineering & Technology (Autonomous), R.V.S. Nagar, Tirupati Road, Andhra
Pradesh – 517127, India, and in the Department of Computer Science and Engineering, Sreenivasa Institute
of Technology and Management Studies, Chittoor, Andhra Pradesh, India. He completed his Bachelor of Computer Applications from IK Gujral Punjab Technical University, a state university, in 2008, his Master of Computer Applications from VIT Vellore in 2015, his M.Tech from JNTU Ananatapur in 2024, and his PhD in Computer Science from VISTAS, Chennai, Tamil Nadu, India in 2021. Currently, he is pursuing his PhD from NIT, Arunachal Pradesh, India. He has written and edited more than 15 books on different topics and technologies. He has published more than 100 articles in SCI conferences, book chapters in Scopus and National and International Conferences, published patents, and has also been granted patents. He had H-index of 20; he is a UN lab member for Sustainability and he has written 7 books and edited around 20 books; he is a reviewer for Springer, Elsevier, Taylor & Francis Group, MDPI. He also served as the session chair for many IEEE, Springer, and ACM conferences, had given keynote talks and FDPs, and conducted workshops and seminars for many institutions and organizations. He has associations with software companies for consulting services; he is a guide to many graduate and postgraduate students; and he is the external supervisor for many PhD students. He is the Postdoctoral Research Supervisor for SIT Singapore and Lincoln University College, Malaysia. He is currently associated with the Study Council for Rural Development projects. He had been a member of IEEE, IET, ISTE, IAENG, and ACM, and an editor for Springer, Elsevier, IEEE Transactions, ACM, and other
reputed journals. He had reviewed more than 100 papers for many reputed publishers and conferences.
Dr. J. Naskath, Professor in the Department of Artificial Intelligence and Data Science at National Engineering
College, Tamil Nadu, India, and coordinator of the Center for IIoT, Robotics and Automation, is a distinguished academic with 17 years of teaching and research experience. She holds her undergraduate, postgraduate, and doctoral degrees in Computer Science and Engineering from Anna University, Chennai. Her research focuses on Wireless Sensor Networks, Ad hoc Networks, IoT, Intelligent Vehicle Systems, and Data Science. She has guided several research scholars, completed funded projects worth ₹13.5 lakhs, and contributed innovations, including patents on a Smart Waste Collecting Bin and an Apparatus for Marshaling a Parrock. Dr. Naskath has published over 30 papers in SCI, Scopus, IEEE, and peer-reviewed journals, authored 2 book chapters, edited 3 books, organized more than 10 technical programs, and delivered 15 expert lectures. She is a reviewer for leading journals, including Springer, PLOS One, and IEEE, and her contributions have earned her several awards, establishing her as a respected researcher and academic leader.
Dr. Kathrin Kind is a multi-award-winning expert in AI applied to business. She started her career in 1999 in quality engineering for international mobile communication networks at Siemens. Later on, she developed complete
vehicle functions for ADAS, engine management, steering, braking, cockpit infotainment, and autonomous driving at several automotive suppliers, including Bosch, ZF-TRW, and Magneti Marelli, and at automotive OEMs such as
BMW in Munich, Mercedes-Benz Cars in Sindelfingen, and Audi in Ingolstadt. She was a senior research scientist
in AI for the Volkswagen Group in Wolfsburg. She is currently Chief Data Scientist and AI Director for Cognizant
in the Global Growth Markets, and the Technical Editor for CRC Press and Springer Nature. She is a volunteer mentor for the KALAI initiative with ICT, a Guest Lecturer at the University of Agder in Norway and the University of Delhi, New Delhi, India, and an author and co-author of technical books in autonomous systems and data. She has a doctorate in AI applied to business from SSBM Geneva and the faculty of business from the University of Zagreb, an MBA in AI from the University of Cumbria, an MSc in computer science and software engineering from the University of Hertfordshire, and a Master of Arts in leading innovation and change from York St. John. She has a PG Diploma in Digitalization Leadership from Columbia University and a PG Diploma in Systems Engineering from MIT, USA.
Dr. Joanna Rosak-Szyrocka holds an H26 index on Google Scholar, an H15 index on Web of Science, and an
H20 index on Scopus. She is an Assistant Professor, Erasmus+ coordinator at the Faculty of Management,
Częstochowa University of Technology, Poland. She specialized in the fields of digitalization, Industry 5.0, Quality
4.0, education, IoT, AI, and quality management. She is also the Deputy Executive Editor of the journal Management Systems in Production Engineering. Her research interests include digitalization, sustainable development, Industry 5.0, Quality 4.0, higher education, and artificial intelligence. She has completed research internships at the University of Žilina (Slovakia) and the Silesian University of Technology (Poland). She participated in multiple Erasmus+ teacher mobility programs: Italy, UK, Slovenia, Hungary, Czech Republic, Slovakia, and France. She cooperates with many universities both in the country and abroad. She serves on the editorial board of PlOS One PeerJ journals, is the associate editor for Cogent Business and Management, Taylor & Francis Group, and a guest editor of Entertainment Computing (Elsevier), Resources (MDPI), IJERPH (MDPI), Energies (MDPI), Sustainability (MDPI), Discover Sustainability (Springer), Frontiers, Measurement (Elsevier). She is a reviewer for a number of prestigious publishers such as IEEE, Elsevier, MDPI, Frontiers, Sage, Springer, and Emerald. She was a member of the Research Team at the Faculty of Management of the Częstochowa University of Technology in 2022 and the interdisciplinary team in 2022; member of the team for surveying deans’ offices and the course of studies in the field of occupational health and safety; member of the technical team for evaluation at the Faculty of Management of the Częstochowa University of Technology; andmember of IEEE Advancing Technology for Humanity in 2022, Association of Quality and Production Managers. She is a participant of the scientific project VEGA No. 1/0067/11 Dynamics and Content of Decision-making Processes in
Motivating Human Potential, granted by the Ministry of Education of the Slovak Republic. She is a co-editor and contributor to 12 scientific monographs published by Routledge and Taylor & Francis Group and has authored or co-authored over 100 publications in high-impact academic journals. Since the beginning of her academic career,
she has consistently received Rector’s Awards for scientific excellence. In 2012, she received the Dean’s Award from the Faculty of Management at Częstochowa University of Technology for her publication achievements. In 2019, she was honored with a diploma for the substantive supervision of a diploma thesis awarded in the national
IKAR JAKOŚĆ competition. In 2023, she received the Bronze Medal of the President of the Republic of Poland for distinguished long-term service.
Dr. Soumi Dutta is Associate Professor at Sister Nivedita University, India. She has completed her PhD (CST),
IIEST, Shibpur, West Bengal, India. She received her B.Tech (IT) and M.Tech (CSE), securing the First position
(Gold medalist) from MAKAUT. She is certified as a Publons Academy Peer Reviewer, 2020, and a Certified
Microsoft Innovative Educator, 2020. Her research interests are Data Mining, Information Retrieval, Online Social
Media Analysis, and Image Processing. She has published 51 conference and journal papers with Springer, IEEE, IGI Global, Taylor & Francis Group, and others. She has published 17 books with Palgrave Macmillan, Springer, IET, and IGI Global. She is a peer reviewer and a TPC member for various international journals. She was the editor in CIPR 2020, CIPR 2019, IEMIS 2020, CIIR 2021, IEMIS 2018, IEMIS 2022, ICIDA 2022, ICIDA 2023, CIIR 2023, and special issues in IJWLTT. She is a member of several technical functional bodies, including CSI, ACM, IEEE, IFERP, MACUL, SDIWC, Internet Society, ICSES, ASR, AIDASCO, USERN, IRAN, and IAENG. She has published seven patents and one Copyright. She has one authored book in Elsevier. Dr. Soumi Dutta has delivered 39 keynote talks at different international conferences. She has been awarded the Rashtriya Shiksha Ratna Award, InSc Research Education Excellence Award, and International Teacher Award 2020–2021 by the Ministry of MSME, Government of India.
Descriere
This book delves into the design and implementation of IoT applications, showing how data analytics, machine learning, and AI enhance IoT efficiency and innovation. With a focus on automation, decision-making, and connectivity, it tackles challenges in various domains including healthcare, agriculture, and industrial automation.