Smart Energy Management for Fog-Enabled IoT Network.

The Internet of Things (IoT) is a paradigm that continues to stir the curiosity of the scientific community, which has been the subject of several research studies in recent years. Formed by a very large number of connected devices, IoT applications generate a huge amount of data to be processed and analyzed taking into account the constraints of latency and energy. Fog computing has proven to be an efficient way to provide computing, management and storage resources through small distributed data centers located at the edge of the network, as close as possible to end-users and connected devices, offering accordingly reduced latency and energy saving. In this context, energy efficiency is one of the parameters that must be emphasized in order to cope with the increased consumption of energy associated with this gigantic volume of data. The proposed work presents a new approach based on a Fog-IoT architecture with the objective of ensuring smart energy management during communication and processing of offloaded tasks in IoT applications while respecting the latency constraint. Experimental results attests the effectiveness of the proposed approach in terms of energy efficiency.