Intelligent Parking Management System Design from a Mobile Edge Computing (MEC) Perspective

In this paper, we propose an intelligent parking management system by using mobile edge computing (MEC). The proposed system contains vehicle detection, vehicle plate binding and information uploading three processes, which are performed by magnetic sensor edge and gateway edge. Hence, it is critical to design an efficient communication and computing allocation strategy to minimize the power consumption for the power limited device. In this work, we first map the parking management system to a mobile edge computing model and covert the offloading strategy to an optimization problem. By solving the optimization problem, the system efficiency is improved significantly. According to the results, the MEC-based optimized solution can most save 58.52% power dissipation, 99.20% transmission cost or 62.48% latency compared with the cloud computing based method.