Enhanced request adaptive scheme for information-centric vehicular networks

Abstract

In this paper, we propose an enhanced request adaptive (EReA) scheme for content service provision in dynamic information-centric vehicular networking (ICVN) environment. The EReA scheme manages the cache update at the roadside units (RSUs) and provides low-latency content delivery to the end-users. User requests trigger the cache update at the RSU for a particular content item on the basis of its update−probability. We introduce an additional parameter tolerancei for each content item i. This parameter suppresses the frequency of content updates triggers at the RSU cache during high network load for the non-critical contents. This provides an additional saving in bandwidth. The simulation setup is created by ndnSIM 2.0 to validate the performance of this proposed scheme. The working and performance of the other content delivery schemes are also discussed in details. Results show that the proposed scheme provides a better hit-ratio compared to the existing ReA scheme under high network load, which results in an additional saving in bandwidth. Additionally, it also inherits the advantages of the ReA scheme.