ABSTRACT
In this article, what we shall highlight upon is the resource allocation along with edge computing in Internet-of-Things (IoT) networks - that too through machine learning approaches. To be specific, every single end device is categorized as an agent, helping in making decision whether the computation task should be offloaded to edge devices or not. In order to reduce long-term weighted sum cost, such as task execution latency and spiraling levels of power consumption, we take the channel conditions between the gateway and the end devices into consideration.
