A Simulation Model Demonstrating the Impact of Social Aspects on Social Internet of Things
This work addresses the challenge of optimizing resource sharing in Social IoT by introducing social capabilities, though it appears incremental as it builds on existing paradigms with simulation-based validation.
The paper tackles the problem of modeling social interactions among IoT objects to improve resource sharing, finding that cooperative strategies significantly enhance interaction quality and efficiency without negative impacts from real-world networking constraints.
In addition to seamless connectivity and smartness, the objects in the Internet of Things (IoT) are expected to have the social capabilities -- these objects are termed as ``social objects''. In this paper, an intuitive paradigm of social interactions between these objects are argued and modeled. The impact of social behavior on the interaction pattern of social objects is studied taking Peer-to-Peer (P2P) resource sharing as an example application. The model proposed in this paper studies the implications of competitive vs. cooperative social paradigm, while peers attempt to attain the shared resources / services. The simulation results divulge that the social capabilities of the peers impart a significant increase in the quality of interactions between social objects. Through an agent-based simulation study, it is proved that cooperative strategy is more efficient than competitive strategy. Moreover, cooperation with an underpinning on real-life networking structure and mobility does not negatively impact the efficiency of the system at all; rather it helps.