A Low Latency Routing for Telematics Combined with Image Semantic Communication

Abstract

Vehicle networking enables real-time, efficient and stable transmission of massive data for various intelligent transportation applications, such as autonomous driving, intelligent intersection management, emergency message broadcasting, etc. However, vehicle networking faces severe challenges in network performance and reliability due to factors such as high-speed mobility of vehicles, dynamic changes of network topology structure, etc. This paper proposes a low-latency routing method for vehicle networking based on image semantic communication, aiming to solve the high latency problem of image data transmission in vehicle networking. For routing planning, this method considers factors such as distance measurement between vehicle nodes, packet loss probability of candidate nodes, residual energy measurement of candidate nodes, current load measurement of candidate nodes, etc. to comprehensively select routing nodes, thereby reducing transmission latency. This method also adopts semantic communication method to transform image data into semantic data and compresses semantic data, thereby further reducing the data volume to be sent by the source vehicle and achieving the purpose of shortening the total data transmission time.