Edge Caching in Fog-Based Sensor Networks through Deep Learning-Associated Quantum Computing Framework.

ABSTRACT: Fog computing (FC) based sensor networks have emerged as a propitious archetype for next-generation wireless communication technology with caching, communication, and storage capacity services in the edge. Mobile edge computing (MEC) is a new era of digital communication and has a rising demand for intelligent devices and applications. It faces performance deterioration and quality of service (QoS) degradation problems, especially in the Internet of Things (IoT) based scenarios. Therefore, existing caching strategies need to be enhanced to augment the cache hit ratio and manage the limited storage to accelerate content deliveries. Alternatively, quantum computing (QC) appears to be a prospect of more or less every typical computing problem. The framework is basically a merger of a deep lea

SUBMITTER: Hasan T 

PROVIDER: S-EPMC8759837 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature