Fusion of Cognitive Wireless Networks and Edge Computing

With the expeditious maturation of IoT, intelligent manufacturing is one of its derivatives as a beneficiary and consequence of the connected environment. No doubt this trend is changing our manners of production. However, on the other side, a large pool of connected devices also bring a new challenge in computing waste (e.g., energy waste) due to the increasing amount of connected devices in IoT and heavy data transfers. This article addresses this issue and discusses a novel method for achieving a cost efficiency goal. The model emphasizes the cognitive wireless communications in which edge computing techniques and reinforcement learning algorithms are combined. Experiment evaluations also assess and examine the model discussed in this article.