Venugopal K R, Roopa M S, Santosh Pattar

Resource Discovery, Navigability and Trust Management Techniques for IoT and SIoT (eBook, PDF)

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 352
• Erscheinungstermin: 22. Oktober 2024
• Englisch
• ISBN-13: 9781040134351
• Artikelnr.: 72276953

Autorenporträt

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.

Inhaltsangabe

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