Data Collection Scheme Based on Route Planning Algorithm with Maximization of Resource Utility

In the vehicle edge network environment, it is usually necessary for vechicles to travel to specific locations to collect certain information. For example, when a large-scale natural disaster occurs, the disaster information located at each disaster site is essential for disaster reduction and relief, and it can also help rescuing troops quickly and accurately collect and analyze disaster information. In this process, the vechicle network needs to perform flexible allocation and scheduling of task locations for each vehicle based on multiple factors such as terminal capabilities, link quality, and geographic location. As a result, to maximize the usability of resources in terms of data collecting procedure, a smart route planning algorithm that considers multiple factors is established for each vechicle, in which linear regression method is proposed for the estimation of the traffic condition. Upon applying the techniques, the data collecting route with the best use of resources and highest benefit gain can be generated.