Data-Driven IoT Ecosystems

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data analytics
decision-making
edge analytics
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eq_computing
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forthcoming
sensor metworks
systems optimization

Product details

  • ISBN 9781003863427
  • Dimensions: 156 x 234mm
  • Publication Date: 12 Oct 2026
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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The Internet of Things (IoT) is a transformative technology reshaping the way data is collected, processed, and analyzed. By seamlessly connecting devices, edge platforms, and cloud infrastructures, IoT creates data-driven “ecosystems” that enable intelligent decision-making, advanced automation, and enhanced operational efficiency. IoT ecosystems, however, present significant challenges in integration, data management, cybersecurity, and resource optimization, thereby necessitating innovative frameworks to ensure reliability, privacy, and performance across these complex systems.

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.

Dr. Subrata Chowdhury is an Associate Professor at the Department of the Computer Science of Engineering of Sreenivasa Institute of Technology and Management, Chittoor, India.

Dr. J. Naskath is an Associate Professor at the National Engineering College, Tamil Nadu, India.

Kathrin Kind-Trueller was a senior research scientist in AI for the Volkswagen Group and currently is the chief data scientist and AI assistant director for Cognizant in the Nordic countries.

Dr. Joanna Rosak-Szyrocka is an Assistant Professor and Erasmus+ coordinator at the Faculty of Management, Czestochowa University of Technology, Poland.

Dr. Soumi Dutta is an Associate Professor at Sister Nivedita University, Chakpachuria, India.