Resource Discovery, Navigability and Trust Management Techniques for IoT and SIoTКНИГИ » СЕТЕВЫЕ ТЕХНОЛОГИИ
Название: Resource Discovery, Navigability and Trust Management Techniques for IoT and SIoT Автор: Venugopal K R, Roopa M S, Santosh Pattar Издательство: CRC Press Год: 2025 Страниц: 330 Язык: английский Формат: pdf (true) Размер: 18.2 MB
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.
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