A Deep Reinforcement Learning Based Congestion Control Mechanism for NDN

Published: May 1, 2019
Abstract
Named Data Networking (NDN) is an emerging future network architecture that changes the network communication model from push mode to pull mode, which leads to the requirement of a new mechanism of congestion control. To fully exploit the capability of NDN, a suitable congestion control scheme must consider the characteristics of NDN, such as connectionless, in-network caching, content perceptibility, etc. In this paper, firstly, we redefine the...
Paper Details
Title
A Deep Reinforcement Learning Based Congestion Control Mechanism for NDN
Published Date
May 1, 2019
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.