A Cluster-based Data Offloading Strategy for High Definition Map Application

High definition map (HDM) is essential to autonomous driving vehicles for path planning and driving decision-making. However, the data of HDM is quite different from other applications. HDM data has the characteristics such as large amount of basic data, frequent updating with small volume, accurate geolocation, etc. In this paper, aiming to reduce the energy consumption and offloading delay, we propose a cluster-based strategy for HDM data offloading by combining the characteristics of HDM data and the mobility of vehicles. Simulation results show that the proposed strategy performs well in the energy consumption and delay.