Unmanned aerial vehicle assisted post-disaster clustering type mine Internet of Things data acquisition method

Abstract

The invention provides a post-disaster clustering type mine Internet of Things data acquisition method assisted by an unmanned aerial vehicle. The method comprises the following steps: clustering all Internet of Things nodes in a post-disaster mine through a post-disaster mine Internet of Things node clustering algorithm; finding a group of cluster heads for minimizing the energy consumption of the mine Internet of Things data acquisition system in each cluster through a post-disaster mine Internet of Things unmanned aerial vehicle data acquisition path planning algorithm, and determining the sequence of the group of cluster heads as a data acquisition path of the unmanned aerial vehicle to each cluster head; and the unmanned aerial vehicle starts from the starting point, traverses all cluster heads according to the planned flight path to carry out data acquisition, and finally returns to the starting point. According to the method, the unmanned aerial vehicle is used for assisting the mine Internet of Things to complete the post-disaster data acquisition task, the energy consumption of the cluster head nodes is reduced, the proposed unmanned aerial vehicle path planning algorithm comprehensively considers the data acquisition energy consumption of the Internet of Things nodes and the unmanned aerial vehicle, and thus the network lifetime of the post-disaster mine Internet of Things is prolonged.

Description

technical field [0001] The invention relates to the technical field of media communication, in particular to a post-disaster clustered mine Internet of Things data collection method assisted by a UAV (Unmanned Aerial Vehicle, unmanned aerial vehicle). Background technique [0002] In mine disaster rescue, quickly and accurately determining the location of trapped persons is a key element of accident rescue. The traditional rescue method is that rescuers enter the disaster area through the roadway to carry out rescue. However, during the disaster period, the roadway environment is complex and changeable. If it is rashly passed, the danger is great, and it is easy to cause secondary damage, which brings great difficulties to the rescue and detection of the disaster area. At present, rescue robots are used to enter the disaster-stricken area instead of rescuers, obtain various environmental parameters in time, and transmit them back to the rescue command in real time. However...

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Problems solved by technology

[0008] The disadvantage of the UAV-assisted wireless sensor network data acquisition method in the above-mentioned prior art is that this method cannot be directly applied to underground

There are the following problems in the use of drones for auxiliary data collection in post-disaster mines: First, due to the limited energy carried by the drone itself, the service range of the drone will be limited by the long-term and large-scale flight restrictions of the mine roadway; Secondly, the battery life of the surviving IoT nodes is limited, and it is difficult to replace the battery in most cases. Frequent data communication with the UAV will cause the energy of the node to be exhausted rapidly, thereby interrupting the data communication with the UAV. transmission

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