The Effect of Fog Offloading on the Energy Consumption of Computational Nodes

Abstract

In the age of Internet of Things (IoT), an immense amount of data is generated from distributed devices. Fog computing is a promising solution for managing the large volume of time-sensitive data that is being generated by IoT devices. This new computing paradigm faces new challenges. Among these challenges, computation offloading is introduced as the most important one. In this paper, the effect of computation offloading on the energy consumption of fog nodes in a multi-layer fog architecture is investigated. Energy consumption of computational nodes for four different offloading scenarios is evaluated and shown that the effectiveness of an offloading scenario highly depends on the processing power of computational nodes and the number of requests that are generated from IoT devices.