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.
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.
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
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.
