Data Collection and Trading Strategy Analysis of Stackelberg-Based Vehicle Crowd-Sensing Platform

Data Collection and Trading Strategy Analysis of Stackelberg-Based Vehicle Crowd-Sensing Platform

A data collection and trading strategy based on a three-layer Stackelberg is proposed to address the defects of the data collection and trading strategy of the existing Telematics group wise sensing platform. First, the data trading strategy is designed for the Telematics group intelligence sensing platform, and the platform determines the optimal trading price according to the data volume and time limit demand of each data user; then the data collection strategy is designed for the platform, and the platform incentivizes the sensing vehicles to collect the required data volume within the limit time according to the movement trajectory, sensing and transmission cost of each sensing vehicle, and the strategy minimizes the data collection energy consumption and cost of the system. The strategy minimizes the data collection energy consumption of the system and designs the optimal data trading strategy based on game theory to maximize the economic benefits of the system. The experimental results demonstrate that the proposed strategy makes the telematics group wise sensing platform obtain the best economic utility in data collection and trading and satisfies the data demand of data users and the reward demand of sensing vehicles at the same time.