Enhancing the capabilities of IoT based fog and cloud infrastructures for time sensitive events

Abstract

Our life is becoming faster day by day by the blessing of the internet of things (IoT). It plays a vital role to reduce the time to complete a computer-based or IT related work. Cloud and fog computing are one of the main elements of IoT which helps to provide service accurately in fewer times. A significant portion of the work related to fog and cloud computing indicates that fog computing is better than cloud computing. In this paper, we focus on time sensitive data like brain stroke, heart attack, accident, etc. and use fog computing to send the result to the user as early as possible. We have developed two algorithms in this paper. First one is for choosing a fog if the user is in the overlapping portion of fogs. The second one is for user's location change and finding the shortest path among many fogs. At simulation part, we have done experiments on brain strokes data as an example of time sensitive data and also demonstrated the comparison between fog and cloud by doing experiments on execution time, energy consumption cost and network usage. The results of simulation experiments depict that regarding time sensitive things fog computing performs better than cloud computing.