IEEE Global Communications Conference
8–10 December 2020 // In-person (Taipei, Taiwan)
7-11 December 2020 // Virtual
Communications for Human and Machine Intelligence

WS-14: 9th RAFNET: Workshop on Research Advancements in Future Networking Technologies

WS-14: 9th RAFNET: Workshop on Research Advancements in Future Networking Technologies


Recently, a lot of research efforts have been carried out by the researchers from academia and industry side to foster various new and emerging network paradigms. The main driving forces behind this paradigm shift are the research outcomes of the last few decades that has clearly portrayed that the current internet architecture was originally designed for end-to-end host-centric communications. However, the principal objective of the networks is to communicate the content itself. Subsequently, we have witnessed new architectures such as an Information-Centric Network (ICN) with various extensions like Content-Centric Networking (CCN), Named Data Networking (NDN), Data-Oriented Network Architecture (DONA), and so forth. On the other hand, numerous efforts in cellular networks have also been made for the improvement of the user experience and as a result, today, we are able to use LTE-A and other networks. In this context, the upcoming 5G networking architectures, whose ongoing research is focused on the networking mechanisms regarding the massive increase in the number of connected devices, bandwidth requirements, reduced latency, and the deployment of supporting operational mechanisms such as network virtualization, cloud-based deployments, mobile edge computing, and storage and new utilization scenarios. Moreover, these modern technologies are being applied in other networking domains as well, including VANETs, Smart Grid, Smart Cities, Internet of Things, Big Data, etc.

IEEE RAFNET aims to bring together researchers working on selected areas of future internet architectures along with various implications, applications, such as smart cities, smart communities, smart automotive driving, etc.

RAFNET Webpage: