EBA: Energy Balancing Algorithm for Fog-IoT Networks

In this paper, we propose a new energy-aware algorithm, called energy balancing algorithm (EBA), for a threetier fog-Internet of Things (IoT) network. The EBA comprises of two optimization models to reduce the energy consumption and delay of the network, while guaranteeing the energy balancing among all fog nodes (FNs). The first optimization model, called best transmission power and transmission rate (BTPR), finds the optimal transmission power and transmission rate of terminal nodes (TNs), such that the request loss is prevented. Then, the topology potential between each TN and FN is defined in the best FN (BFN) model to find the BFN for serving the TN, while the energy balancing among all FNs is guaranteed. Simulation results reveal that the proposed EBA can reduce total energy consumption and delay of the network and yield efficient energy balancing among all FNs.