Space-air-ground integrated UAV-assisted IOT data collectioncollection method based on AOI

Abstract

A space-air-ground integrated UAV-assisted IoT data collection method based on AoI comprises: constructing a UAV-assisted space-air-ground integrated IoT system, constructing a UAV channel model and an AoI model, establishing an AoI-based UAV-assisted space-air-ground integrated IoT data collection model, transforming a problem into a Markov problem, introducing a neural network to solve a high-dimensional state problem, introducing a deep reinforcement learning algorithm to train UAVs to find optimal collection points, and introducing a matching theory to match the UAVs and IoT devices. To meet the requirement for the timeliness of information collection, the invention finds the optimal configuration of flight parameters of UAVs and deduces the restrictive relation between performance indicators such as AoI, system capacity and energy utilization rate, thus effectively improving the timeliness of information collection, reducing the management and control complexity of the system, and improving the application level of AI in the IoT field.

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