A proficient heuristic for selecting friends in social Internet of Things

Abstract

Internet of things (IOT) has a large number of smart objects which automatically interacts with each other through various communication protocols. They also cooperate with their neighbors to reach common goals. As the number of devices on the internet increases, the searching for right device which would provide the desired service becomes essential. Social networking concepts are incorporated into Internet of Things called Social Internet of Things (SIOT). Smart objects can find the desired services through its friends in a decentralized manner using only local information. In this work, a heuristic for efficient selection of friends is proposed to improve the overall network navigability. An analysis is also performed based on giant component, local clustering coefficient, average path length and average degree of connections.