Distributed Probabilistic Caching with Content-location Awareness in VNDNs

Abstract

Efficient data delivery in vehicular named data networks (VNDNs) can immensely enhance the safety and entertainment for drivers. For this purpose, in-network caching is used to expedite data delivery. In this work, a distributed probability-based caching with content-location-awareness (DPC-CLA) is proposed for efficient data delivery in VNDNs, where the roadside-units (RSUs) with caching capabilities can accurately access the relatively popular contents of the received packets by normalizing the reciprocal sum of the request hops in an indefinite period. In addition, the RSUs can also perceive the surrounding cache locations using the weighted recursive sum of the neighbouring cache intervals. Simulation results show that the proposed DPC-CLA performs better than four existing caching mechanisms in terms of the average number of hops and the cache hit ratio.