Optimal Deployment and Dimensioning of Fog Computing Supported Vehicular Network
Ping Guo, Bin Lin, Xin Li, Rongxi He, Sen Li · 2016
Vehicular network is regarded as an important part of the Intelligent Transportation System (ITS). However, with the increasing number of vehicular applications, it is a challenge to meet the demands of both communication and computation. Fog computing can provide mobile users with the demanded services through low latency and short-distance local connections. This paper investigates the optimal deployment and dimensioning (ODD) of fog computing supported vehicular network. The ODD problem is important for fog computing from theory to practical deployment. We formulate the problem as an integer linear programming (ILP) and the objective is to minimize the cost of deployment. Two different models based on coupling and decoupling fog devices with Roadside Units (RSUs) are developed and the results show that the decoupling model is a way more cost-effective in practice.