Fog, Edge, and Pervasive Computing in Intelligent IoT Driven Applications

Intelligent IoT systems depend on more than connected devices: they also need ways to process data close to where it is generated. This edited volume explores how fog, edge, and pervasive computing can help meet that need, bringing technical concepts into conversation with applications in healthcare, transportation, machine learning, and beyond.

Across its contributed chapters, the book moves between architectures, methods, and practical problem areas. The result is a broad, research-oriented look at where computation happens—and what that choice means for latency, resources, security, and real-world IoT systems.

Computing closer to the connected device

The collection examines fog and edge computing as approaches that extend computing resources beyond centralized cloud environments. Chapters address the reasons for using these models, their architectures and capabilities, and challenges such as security, privacy, resource management, and data collection.

From machine learning to applied IoT

Machine learning is a recurring thread. The volume includes discussion of learning frameworks and algorithms for fog and edge settings, alongside a chapter on using machine learning to select requirements-elicitation techniques. Other contributions consider IoT applications in healthcare, cloud-based library management, renal cancer diagnosis, and intelligent transportation.

Applications across connected systems

Readers will also encounter work on edge-assisted route finding, automobile condition monitoring using MEMS design and simulation, fog computing in vehicular networks, and secure fog-assisted data collection. Together, these examples show the range of settings in which distributed computing ideas are being investigated.

A cross-disciplinary reference for IoT research

Because the chapters are individually contributed, the book offers several perspectives rather than one continuous tutorial. It may be useful to researchers, graduate students, engineers, and practitioners seeking an overview of intelligent IoT topics that span computing architecture, algorithms, security, and application design.

For readers exploring the intersection of fog computing, edge computing, and intelligent IoT, this collection provides a wide-ranging set of research discussions to consult and compare.