A trajectory determination method, system and device for UAV data collection

Abstract

This application discloses a trajectory determination method for UAV data collection, using the position information of all sensor nodes, clustering and grouping, and using the path optimization algorithm to determine the flight trajectory of the UAV, and comparing each clustering In the case of cluster grouping, the maximum information age of UAV flight trajectories is determined as the optimal UAV flight trajectory. In this process, the information age of all sensor nodes in the system is used as the evaluation standard, and a two-stage iterative algorithm is selected to establish a two-stage iterative algorithm for the UAV trajectory to determine the optimal flight trajectory, which can minimize the The information age of the system. Correspondingly, the present application also discloses a trajectory determination system and device for UAV data collection, which have the same beneficial effects.

Description

technical field [0001] The present invention relates to the field of the Internet of Things, in particular to a trajectory determination method, system and device for data collection of drones. Background technique [0002] With the development of digitalization, it is estimated that by 2025, the total number of connected devices in the world will reach about 36.4 billion, of which 25.2 billion are IoT devices. One of the most important applications of the Internet of Things (IoT) is the use of distributed sensors to collect information. In a static network, the messages generated by these sensors are usually transmitted to the destination in a multi-hop manner, which occupies a large amount of network bandwidth and produces a large amount of energy consumption, and the data transmission performance is poor. In order to solve this problem, UAV-based information collection has become a new research direction. [0003] In recent years, research on UAV-assisted data collectio...

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Problems solved by technology

[0003] In recent years, research on UAV-assisted data collection has mostly considered mobility management and resource allocation, with the goal of maximizing system throughput or minimizing information delay of individual nodes, without considering the transmission and collection of all information in the system as a whole. Time-consuming, unable to guarantee the freshness of node information in the system as a whole

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