Two-layer Distributed Content Caching for Infotainment Applications in VANETs


Edge caching is receiving a significant amount of attention from researchers in the field of vehicular ad hoc networks (VANETs), with the goal of improving the effectiveness and dependability of infotainment software. In this article, we propose a two-layer distributed content caching scheme for VANETs by jointly exploiting the cache at vehicles and roadside units. This would allow for faster retrieval of previously cached information (RSUs). To be more specific, we formulate the problem of content caching to minimize the overall transmission delay and cost as a nonlinear integer programming (NLIP) problem and propose an alternate dynamic programming search (ADPS)-based algorithm to solve it. Our goal is to achieve this by reducing the amount of time it takes for content to be cached and the amount of money it costs. In ADPS, we start by breaking the main issue down into three smaller problems, and then we apply the dynamic programming (DP) technique to solve each of those smaller problems on their own. We further propose a cooperation-based greedy (CBG) algorithm to solve the large-scale original problem in order to simplify the process and cut down on its level of complexity. The results of numerical simulations and experiments conducted on a testbed show that the newly proposed caching scheme outperforms caching schemes that already exist. The transmission delay and cost can be reduced by 10% and 24%, respectively, in a practical environment, while the hit ratio can be increased by 30%. This is in comparison to the popularity-based caching scheme.

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