As a new computing paradigm, edge computing emerges in various fields. Many tasks previously deployed on the cloud are distributed to various edge devices such as wearable sensors, which cooperate to complete the tasks. However, circumstantial factors at the edge device (e.g., functionality, transmission efficiency, resource limitation) become more complex than those in the cloud. Consequently, the cooperation between the edge nodes may be unstable. In this paper, we propose a novel framework to optimize edge cooperative network (ECN), called ECN-Opt, to improve edge computing tasks. Specifically, we first define the evaluation metrics for node cooperation. Next, the cooperation of ECN is optimized to improve the performance of specific tasks. Extensive Experiments using real dataset from wearable sensors on the players in a soccer team, demonstrate that our ECN-Opt framework performs very well and also validate the effectiveness of the proposed optimization algorithm.
|Titolo:||Mobile edge cooperation optimization for wearable internet of things: a network representation-based framework|
|Data di pubblicazione:||2020|
|Appare nelle tipologie:||1.1 Articolo in rivista|