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Online Social Network Analysis (OSNA) Based Approach for Interconnecting Complex Systems of Internet of Things (SIoT)

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Principles of Internet of Things (IoT) Ecosystem: Insight Paradigm

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 174))

Abstract

SIoT (Social Internet of Things) is a concept of IoT in which the objects mimic the relationships that human form thus forming their own relationship sets. It is an upcoming area of pragmatic research and ill now much work has been left to simulations only. The concept behind SIoT architecture is to form two different layers, one of IoT objects and the other of people who are going to use it. These objects are ruled by rules made by people; to protect the privacy of the users. Firstly we would in this paper discuss the pragmatic implementation scenario of a SIoT platform. This is done by analyzing the various IoT research work till date and in turn listing out the major characteristics that could be reused for our research. Secondly, we shall discuss in detail how the IoT objects form inter-relationships autonomously. Here we shall take up various concepts of relationship formation such as Parental Object Relationship, Co-Location Objects Relationship, Co-Work Object Relationship, Ownership Objects Relationship and Social Object Relationship. Thirdly, we discuss the interlinking of IoT with the established concept of social networking analysis (SNA), wherein we would be interlinking objects of IoT with the rules built thorough SNA, thus forming a human bound relationship with their objects. And finally, we discuss the new challenges and open issues of SIoT with the architectural elements that will pave the way toward this future-driven SIoT paradigm.

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Chopra, M., Mahapatra, C. (2020). Online Social Network Analysis (OSNA) Based Approach for Interconnecting Complex Systems of Internet of Things (SIoT). In: Peng, SL., Pal, S., Huang, L. (eds) Principles of Internet of Things (IoT) Ecosystem: Insight Paradigm. Intelligent Systems Reference Library, vol 174. Springer, Cham. https://doi.org/10.1007/978-3-030-33596-0_17

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