
Resource Discovery, Navigability and Trust Management Techniques for IoT and SIoT
Chapman & Hall/CRC (Publisher)
1st Edition
Will be published approx. on 22. June 2026
Book
Paperback/Softback
352 pages
978-1-032-64451-6 (ISBN)
Description
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.
? 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.
More details
Language
English
Place of publication
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
Academic
Product notice
Paperback (trade)
Unsewn / adhesive bound
Illustrations
105 s/w Zeichnungen, 51 s/w Tabellen, 105 s/w Abbildungen
51 Tables, black and white; 105 Line drawings, black and white; 105 Illustrations, black and white
Dimensions
Height: 254 mm
Width: 178 mm
Thickness: 18 mm
Weight
572 gr
ISBN-13
978-1-032-64451-6 (9781032644516)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Venugopal K R | Roopa M S | Santosh Pattar
Resource Discovery, Navigability and Trust Management Techniques for IoT and SIoT
E-Book
10/2024
1st Edition
Chapman and Hall
€73.99
Available for download

Venugopal K R | Roopa M S | Santosh Pattar
Resource Discovery, Navigability and Trust Management Techniques for IoT and SIoT
Book
10/2024
1st Edition
Chapman & Hall/CRC
€204.30
Shipment within 10-20 days

Venugopal K R | Roopa M S | Santosh Pattar
Resource Discovery, Navigability and Trust Management Techniques for IoT and SIoT
E-Book
10/2024
1st Edition
Chapman and Hall
€73.99
Available for download
Persons
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.
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.
Content
Part I Searching Techniques for the IoT Resources 1. IoT Resource Discovery Fundamentals 2. Progressive Search Algorithm for Service Discovery in an IoT Ecosystem 3. Hybrid Data AggregationTechnique to Improvise Location-aware Service Provisioning 4. Context-oriented Fuzzy based Search System for the IoT 5. IoT Resource Classification and Search Technique based on Deep Learning Models 6. Device Discovery Techniques for Industrial IoT through Predictive Analytic Mechanism 7. Context-oriented Service Inquisition Framework for Intelligent Transport System 8. Anonymization Framework for IoT Search based on Edge Centric Privacy Model 9. Multi-modal Multilevel Fog Indexer for Search in IoT Part II Social Internet of Things (SIoT) 10. Social Internet of Things (SIoT) Fundamentals 11. Relationship Creation and Management in Social Internet of Things 12. Network Link Selection in Social Internet of Things using Random Forest Algorithm 13. DTCMS: Dynamic Traffic Congestion Management in Social Internet of Vehicles 14. Social Internet of Things for Predictive Maintenance in Industrial Internet of Things 15. Trust Management in Social Internet of Things 16. Index