Industrial Internet of Things and Advanced Techniques for Sensor Data Aggregation and Fusion

Preface

The rise of the industrial Internet of Things (IIoT) has redefined the landscape of modern technology, blending connectivity, analytics, and advanced computing to empower industries with unprecedented capabilities. This paradigm shift brings about significant advancements in data aggregation, sensor fusion, and intelligent decision-making systems. At the core of IIoT lies the ability to seamlessly integrate hardware, software, and human ingenuity to drive innovations that address complex challenges across diverse sectors.

This book, Industrial Internet of Things and Advanced Techniques for Sensor Data Aggregation and Fusion, is a testament to the collective efforts of leading researchers and practitioners who have contributed their expertise to unravel the intricacies of IIoT applications. By covering a wide spectrum of topics, ranging from foundational frameworks to real-world implementations, this book provides a comprehensive view of the state-of-the-art advancements in the field.

To ensure thematic coherence and depth, the book is organized into four parts:

Part I: Foundations and Frameworks in IoT and Data Aggregation

The opening section lays the groundwork for understanding the core principles of IoT and data aggregation. It begins with a discussion on enhancing privacy and efficiency in IoT-enabled business analytics through blockchain-based contingency models. The first chapter illustrates how IoT features, coupled with cryptographic techniques such as SHA256, ...