Mobile Edge Cooperation Optimization for Wearable Internet of Things: A Network Representation-Based Framework

As a new computing paradigm, edge computing emerges in various fields. Many tasks previously relied on cloud computing are distributed to various edge devices that cooperate to complete the tasks. However, circumstantial factors in the edge network (e.g., functionality, transmission efficiency, and resource limitation) become more complex than those in cloud computing. Consequently, there is instability that cannot be ignored in the cooperation between the edge devices. In this article, we propose a novel framework to optimize edge cooperative network (ECN), called ECN-Opt, to improve the performance of edge computing tasks. Specifically, we first define the evaluation metrics for cooperation. Next, the cooperation of an ECN is optimized to improve the performance of specific tasks. Extensive experiments using real datasets from wearable sensors on the players in soccer teams demonstrate that our ECN-Opt framework performs well, and it also validate the effectiveness of the proposed optimization algorithm.

Automated summary

Edge computing is a new computing paradigm that distributes tasks to various edge devices for collaborative completion. However, the complexity of circumstantial factors in the edge network leads to instability in cooperation between devices. This article proposes the ECN-Opt framework to optimize edge cooperative networks and enhance the performance of edge computing tasks.