Traffic and Computation Co-Offloading With Reinforcement Learning in Fog Computing for Industrial Applications

Volume: 15, Issue: 2, Pages: 976 - 986
Published: Feb 1, 2019
Abstract
In the past decade, network data communication has experienced a rapid growth, which has led to explosive congestion in heterogeneous networks. Moreover, the emerging industrial applications, such as automatic driving put forward higher requirements on both networks and devices. On the contrary, running computation-intensive industrial applications locally are constrained by the limited resources of devices. Correspondingly, fog computing has...
Paper Details
Title
Traffic and Computation Co-Offloading With Reinforcement Learning in Fog Computing for Industrial Applications
Published Date
Feb 1, 2019
Volume
15
Issue
2
Pages
976 - 986
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.