A Cooperative Positioning Enhancement for Blockchain-Enabled Vehicular Networks

The emergence of connected vehicles (CV) and cooperative vehicle-infrastructure systems (CVIS) have paved the way for new innovative prospects for improving the safety and efficiency of transportation systems. Unleashing the communication and positioning capabilities of connected vehicles and roadside units’ storage and computing capabilities, the CVIS can enhance the positioning signal coverage and help the vehicles with low positioning accuracy by sharing the positioning error correction model. This chapter introduces an improved deep neural network (DNN) to train the positioning error prediction model and introduces the method of optimizing the network in detail. In order to ensure the privacy of vehicles and the safety of roadside units a blockchain model based on consensus algorithm is further introduced to share the positioning error information. Additionally, the method's performance and effectiveness in terms of accuracy are verified in different scenarios.