Paperback. A ready reference for the next-generation discovery techniques, this book presents advanced research findings on resource discovery, network navigability, and trust management on the Internet of Things (IoT) and Social Internet of Things (SIoT) ecosystems. It discusses the benefits of integrating social networking concepts into the Internet of Things to find the preferable, reliable, scalable, and near-optimal detection of things or services. It explores the concepts of the Social Internet of Things in different domains of IoT, such as the Internet of Vehicles and the Industrial Internet of Things. This book works to recognize and respond to user queries and improve service provisioning, find the optimal solution for the link selection in the SIoT structure, develop large-scale platforms, and provide a smart mechanism for trust evaluation. Covers the rapid advancements in low-cost sensor manufacturing, communication protocols, embedded systems, actuators, and hardware miniaturization that have contributed to the exponential growth of the IoT Presents the fundamentals of a search system for sensor search and resource discovery in an IoT ecosystem Includes the applicability of different search techniques across several application domains of the IoT under various use case scenarios Discusses the thrust areas in SIoT (service discovery and composition, network navigability, relationship management, and trustworthiness management) and presents several prerequisites, challenges, and use case scenarios Provides insights into current challenges in the domains of Internet of Things and Social Internet of ThingsThis book will be helpful to researchers, scholars, and postgraduate students in Computer Science and Information Technology departments. A ready reference for the next-generation discovery techniques, this book presents advanced research findings on resource discovery, network navigability, and trust management on the Internet of Things (IoT) and Social Internet of Things (SIoT) ecosystems. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

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Bibliographic Details

Title: Resource Discovery, Navigability and Trust Management Techniques for IoT and SIoT (Paperback)
Publisher: Taylor & Francis Ltd
Publication Date: 2026
Language: English
ISBN 10: 1032644516
ISBN 13: 9781032644516
Binding: Paperback
Condition: new

About this title

Synopsis

A ready reference for the next-generation discovery techniques, this book presents advanced research findings on resource discovery, network navigability, and trust management on the Internet of Things (IoT) and Social Internet of Things (SIoT) ecosystems. It discusses the benefits of integrating social networking concepts into the Internet of Things to find the preferable, reliable, scalable, and near-optimal detection of things or services. It explores the concepts of the Social Internet of Things in different domains of IoT, such as the Internet of Vehicles and the Industrial Internet of Things. This book works to recognize and respond to user queries and improve service provisioning, find the optimal solution for the link selection in the SIoT structure, develop large-scale platforms, and provide a smart mechanism for trust evaluation.

� Covers the rapid advancements in low-cost sensor manufacturing, communication protocols, embedded systems, actuators, and hardware miniaturization that have contributed to the exponential growth of the IoT

� Presents the fundamentals of a search system for sensor search and resource discovery in an IoT ecosystem

� Includes the applicability of different search techniques across several application domains of the IoT under various use case scenarios

� Discusses the thrust areas in SIoT (service discovery and composition, network navigability, relationship management, and trustworthiness management) and presents several prerequisites, challenges, and use case scenarios

� Provides insights into current challenges in the domains of Internet of Things and Social Internet of Things

This book will be helpful to researchers, scholars, and postgraduate students in Computer Science and Information Technology departments.

About the Author

Dr. Venugopal K R is the former Vice Chancellor of Bangalore University. He holds eleven degrees,
including a Ph.D. in Computer Science Engineering from IIT-Madras, Chennai and a Ph.D. in Economics
from Bangalore University. He also has degrees in Law, Mass Communication, Electronics,
Economics, Business Finance, Computer Science, Public Relations and Industrial Relations. He has
authored and edited 86 books and published more than 1207 papers in refereed international journals
and international conferences and has 40 patents to his credit. Dr. Venugopal was a postdoctoral
research scholar at the University of Southern California, USA. He has been conferred with IEEE
fellow and ACM Distinguished Educator for his contributions to computer science engineering and
electrical engineering education.

Roopa M S is an Associate Professor at Nitte Meenakshi Institute of Technology, Bengaluru,
India. She received her Bachelor of Engineering degree in Medical Electronics from the M S
Ramaiah Institute of Technology, Visvesvaraya Technological University, Bengaluru, India, and the
Master of Engineering degree in Information Technology from University Visvesvaraya College
of Engineering, Bangalore University, Bengaluru. She holds her Ph.D. in Computer Science and
Engineering from Bangalore University. Her research interests include the Social Internet of Things,
Cyberbullying, Multivariate Time Series Analysis, Machine Intelligence, and Web Mining.
Santosh Pattar received the Bachelor of Engineering degree in computer science from the RNS
Institute of Technology, Visvesvaraya Technological University, Bengaluru, India, in 2012 and
the Master of Engineering degree in bioinformatics from the University Visvesvaraya College of
Engineering, Bangalore University, Bengaluru, in 2015, where he is currently pursuing the Ph.D.
degree in computer science. His current research interests include the Internet of Things, with a
focus on device search and discovery techniques, deep learning, and bioinformatics.

Santosh Pattar received the Bachelor of Engineering degree in computer science from the RNS
Institute of Technology, Visvesvaraya Technological University, Bengaluru, India, in 2012 and
the Master of Engineering degree in bioinformatics from the University Visvesvaraya College of
Engineering, Bangalore University, Bengaluru, in 2015, where he is currently pursuing the Ph.D.
degree in computer science. His current research interests include the Internet of Things, with a
focus on device search and discovery techniques, deep learning, and bioinformatics.

"About this title" may belong to another edition of this title.

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