Optimized Edge, Fog and Cloud Computing Method for Mobile Ad-hoc Networks

Abstract

The future of mobile systems relies on big data and fast information processing to improve efficiency, user experience, and system autonomy. With the massive growth of intelligent and mobile devices, along with the development of computational and communication technologies, a vast amount of data is being generated which needs to be processed and distributed as fast as possible, while reducing costs. Therefore, gathering and data processing, as well as efficient distribution of messages across the network, is the key problem of future mobile systems. In this paper, we are proposing a cost-effective method that relies on fog and edge computing principles called FOGO (FOG Optimization). The method proposes a three layer architecture that utilizes an upgraded existing infrastructure where the mobile nodes will create a fog service layer that could provide processing of medium-sized messages and the distribution of the results across the network. Furthermore, cloud computing is also considered but only in a case of necessity for a large-sized data processing. The proposed system architecture is described along with the method flowcharts, operating algorithms, and proposed message structure. Furthermore, the metrics for the system performance evaluation are proposed, as well as possible application domains.