SIoT Framework to Build Smart Garage Sensors Based Recommendation System

Abstract

The Internet of Things landscape has garnered increasing attention in recent times, with its untapped potential and possibilities of its integration into next generation cellular systems. Social media and social networks, on the other hand, have formed a domain that has been inextricably linked to a variety of emerging technologies, giving rise to innovations that are crowd-sourced, intelligent, and evolutionary. Social Internet of Things (SIoT) is a paradigm that aims to converge the technologies of Social Networks and Internet of Things. An SIoT framework works to establish a social network for connected objects in the IoT window, so that heterogeneous devices can find, communicate, collaborate to achieve a common objective. Further, social network platforms can be integrated with existing IoT solutions to make them more dynamic. The aim of this paper is to understand the plethora of emerging techniques in the field of SIoT and use it to build a smart recommendation system using garage sensors. The objective of this paper is to propose a design module for this system that is autonomous with minimum interference from the user. The system consists of three subsystems—proximity sensors in the garage, car GPS, and social media which are heterogeneous and yet, are able to collaborate with each other to recommend places for dining and leisure to the user, based on time of arrival and history of places visited. The paper further elucidates on the logistics and market potential of such an implementation, thereby providing the possibilities of integrating SIoT solutions for mainstream applications.