Unmanned aerial vehicle data collection method based on minimized information age

Abstract

The invention discloses an unmanned aerial vehicle data collection method based on minimized information age. The method comprises the following steps: (1) a data center u_0 acquires positions of M sensing nodes in a wireless network; (2) the data center u_0 executes a clustering algorithm according to uploading time and clustering weight gamma of the sensing nodes; (3) a path planning algorithm is executed according to the obtained data uploading time and flight time eta (k, k <^'>) of an unmanned aerial vehicle; (4) an unmanned aerial vehicle data collection scheme corresponding to the current clustering weight gamma is stored; and (5) the unmanned aerial vehicle starts from the data center, and accesses data collection points one by one according to the optimal flight path u<^*> of theunmanned aerial vehicle. The method adjusts in advance the positions of the unmanned aerial vehicle data collection points and the distance between the unmanned aerial vehicle data collection points and the sensing nodes by adopting a clustering method, and effectively balances data transmission time of all sensing nodes and the flight time of the unmanned aerial vehicle, so that the information age of the sensing nodes is not sharply increased with the increase of the network scale, and the method is suitable for different wireless sensing network scales.

Description

technical field [0001] The invention relates to the field of wireless sensor network data collection, in particular to a novel data collection method for unmanned aerial vehicles based on minimizing information age. Background technique [0002] The essence of the wireless sensor network is to obtain the effective data required by the application from the monitoring scene through the flexibly deployed sensors. It is the link between the perception layer and the application layer, so it is very important to design a reasonable wireless data collection scheme; it is widely used The current wireless data collection methods include multi-hop wireless routing and forwarding, the Internet of Things and satellite communications, etc., because of their shortcomings such as high power consumption, low reliability, high system maintenance costs, and high construction costs, they cannot be effectively applied to some special scenarios, especially for Scenarios with sensitive data timel...

AI Technical Summary

Problems solved by technology

[0004] In order to improve the performance of data collection, the existing UAS data collection technology is mainly improved and optimized in two aspects of UAS communication and flight control; Abdulla et al. This paper proposes an energy-efficient UAV data collection method based on adaptive modulation and time-division multiplexing. The sensor nodes are divided into different clusters, and the cluster head of each cluster has a fair time-division access channel opportunity. communicate directly, but they do not take into account the timeliness of the data collected

In the article "Age optimal information gathering and dissemination on graphs", Tripathi et al. proposed a data collection and dissemination method based on network graphs to minimize the average and peak information ages. UAVs, as mobile data relay nodes, travel along the network graph. Flying along the optimal random path, traversing and visiting each sensor node, when the number of sensor nodes in the network increases, the age of the collected data information will increase, and the timeliness of the data cannot be guaranteed

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