The Internet of Things (IoT) imagines a world full of smart items that are connected to one another and have the ability to communicate and work together on their own. In order to increase the IoT ecosystem's scalability, navigability, and trust, this chapter suggests a unique model known as the Social Internet of Things (SIoT), in which objects create and maintain social interactions. The paper presents a classification of inter-object relationships (parental, co-location, ownership, etc.) and describes a system architecture that, among other things, enables autonomous service discovery, relationship management, and trust evaluation, drawing comparisons to human social networks. In order to create trustworthy and self-organizing networks, the study investigates how social principles can be woven throughout the Internet of Things. The research illustrates how SIoT improves network navigability and facilitates effective service provisioning through comprehensive simulations and prototype implementations. It also suggests and assesses trust management frameworks that enable objects to judge their peers’ dependability using both subjective and objective standards. Along with outlining useful applications, such as energy management, collaborative sensing, and smart mobility, the chapter also provides a proof-of-concept platform.

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Architectures and Algorithms for Socially-Aware Internet of Things Systems

  • Abhay Bhatia,
  • Rajeev Kumar,
  • Golnoosh Manteghi

摘要

The Internet of Things (IoT) imagines a world full of smart items that are connected to one another and have the ability to communicate and work together on their own. In order to increase the IoT ecosystem's scalability, navigability, and trust, this chapter suggests a unique model known as the Social Internet of Things (SIoT), in which objects create and maintain social interactions. The paper presents a classification of inter-object relationships (parental, co-location, ownership, etc.) and describes a system architecture that, among other things, enables autonomous service discovery, relationship management, and trust evaluation, drawing comparisons to human social networks. In order to create trustworthy and self-organizing networks, the study investigates how social principles can be woven throughout the Internet of Things. The research illustrates how SIoT improves network navigability and facilitates effective service provisioning through comprehensive simulations and prototype implementations. It also suggests and assesses trust management frameworks that enable objects to judge their peers’ dependability using both subjective and objective standards. Along with outlining useful applications, such as energy management, collaborative sensing, and smart mobility, the chapter also provides a proof-of-concept platform.