Proximity detection based on mobile edge computing in time-aware road networks

Abstract

The problem of proximity detection is often encountered in autonomous driving and traffic safety related applications, which require low-latency proximity detection with relatively low communication cost. However, (i) most existing proximity detection solutions focus on the Euclidean space which cannot be used in road network space, and (ii) the solutions for road networks focus on static road networks and thus cannot be applied in time-aware road networks. Motivated by these, we first design a low-latency proximity detection architecture based on Mobile Edge Computing (MEC) to achieve low communication latency, and then propose a proximity detection method including a client-side algorithm and a server-side algorithm, aiming at reducing the communication cost. Experimental results show that our MEC based proximity detection architecture and our proximity detection method can reduce the communication latency and the communication cost effectively.