Dynamic data collection method based on unmanned aerial vehicle

Abstract

The invention relates to a dynamic data collection method based on an unmanned aerial vehicle, and belongs to the technical field of wireless communication. The method comprises the following steps: step 1), modeling a cluster head selection variable; 2) modeling a sensor node SN and cluster head association variable; 3) modeling a data collection mode selection variable; 4) modeling direct transmission mode time delay; 5) modeling UAV collection mode time delay; 6) modeling network cost; 7) modeling SN clustering, data collection mode selection and data transmission limiting conditions; 8) determining an SN clustering strategy based on an improved KMeans algorithm; 9) determining a data transmission strategy; 10) modeling a traveling salesman problem TSP, and determining a UAV flight path; and 11) optimizing and determining the cluster head sending power and the UAV flight speed based on the network cost.

Description

Technical field[0001]The invention belongs to the technical field of wireless communication and relates to a method for collecting dynamic data based on a drone.Background technique[0002]In recent years, unmanned aerial vehicle (UAV) related technologies have developed rapidly and have been widely used in many fields. In particular, because UAVs can be equipped with communication modules and have flexibility and mobility, using UAVs as relays, aerial base stations, etc. in wireless communication systems can effectively improve the system coverage and capacity. In addition, with the widespread popularity of IoT applications, various types of IoT devices collect data and then transmit them to the network or aggregation nodes have become important applications. In some IoT data collection applications, wireless sensor nodes (Sensor Nodes, SN) need to collect environmental data and transmit them to the sink node. Because of the limited energy of the SN and the long distance from the sin...

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Problems solved by technology

[0003] At present, there are literatures on SN data collection problem. For example, there are literatures on UAV collecting SN data along the way from the starting point to the target point, and jointly optimizing the UAV flight trajectory and link scheduling problem to minimize the data collection delay; for example, It has been proposed in the literature that UAVs can fly to the target point to hover and then collect SN data to minimize network costs; existing studies rarely consider SN clustering, the cost of UAV data collection, and the fact that UAVs can fly and collect data at the same time. The impact of cost, it is difficult to achieve efficient data collection performance optimization

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