Resources allocation in SWIPT aided fog computing networks

Abstract

Fog computing has emerging as a promising technique to meet the ultra-low latency services in wireless network such as Augmented Reality (AR). The fog paradigm tends to distribute computing, storage, control, network resources and services closer to terminal devices as much as possible while most of User Equipments (UEs) do not have constant power supply thus the power supplement has developed as a nontrivial challenge to realize the paradigm. In this paper, simultaneous wireless information and power transfer (SWIPT) is introduced as a power resource to guarantee the UEs complete their computing tasks. We proposed a power, time and data allocation scheme to minimize the total consumption of energy at source node while maintaining the latency requirement. A Quantum particle swarm optimization (QPSO) algorithm in introduced to solve the non-convex problem, numerical results reveal that our proposed allocation scheme consumes less energy than the conventional particle swarm optimization approach.