Resource Discovery, Navigability and Trust Management Techniques for IoT and SIoT by K R, Venugopal; M S, Roopa; Pattar, Santosh;

Rövid leírás:

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.

Hosszú leírás:

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.

Tartalomjegyzék:

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