A Markovian Model for Assessing the Consistency of Vehicular Storage Systems

TL;DR

This paper introduces a Markovian model to evaluate the reliability and suitability of vehicular storage systems for data storage and distribution, considering parameters like vehicle density and transmission range.

Contribution

It presents a novel Markovian modeling approach to assess vehicular storage system consistency based on environmental and system parameters.

Findings

Model effectively predicts system reliability under varying conditions

Provides insights into optimal vehicle density and transmission range

Supports design of robust vehicular data storage infrastructure

Abstract

In this paper, we evaluate the suitability of the vehicular devices for supporting data storage and distribution applications. Vehicular storage systems have recently emerged as means for making the information related to the vehicular environment available to vehicular users. Information could either be collected by sensors mounted onboard vehicles or coming from the surrounding environment. Modeling a vehicular data storage and distribution system requires the introduction of a number of parameters, such as the vehicle concentration and transmission range, the value of which may determine the suitability or unsuitability of the vehicular environment for establishing a communication infrastructure with the desired quality. In this paper we show how to solve this problem by resorting to a Markovian model and some results achieved through its application.