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A UAV-based large-scale wireless sensor network data collection method

A wireless sensor, network data technology, applied in specific environment-based services, wireless communication, network topology, etc., can solve the problem of low value of data information

Active Publication Date: 2022-02-11
SOUTHEAST UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

This information is time-sensitive, the later the drone collects, the lower the value of the data information

Method used

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  • A UAV-based large-scale wireless sensor network data collection method
  • A UAV-based large-scale wireless sensor network data collection method
  • A UAV-based large-scale wireless sensor network data collection method

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Embodiment Construction

[0041] The present invention will be further explained below in conjunction with the accompanying drawings and specific embodiments.

[0042] In the present embodiment, the method of the present invention is applied to UAV-assisted wireless sensor networks (UAV-aidedWSNs), and the DFP (Direct Future Prediction) model is applied to the UAV path planning problem, such as figure 1 As shown, the scenario considered in this embodiment consists of a group of sensor nodes S={s i |i=1,2,...,n}, composed of a drone, base station and charging station. The sensor nodes are randomly deployed to the target area, and the drone acts as a mobile sink node to collect data and send the data back to the base station. When the battery runs low during collection, it flies to a charging station to recharge.

[0043] In the scenario of a large-scale wireless sensor network based on drones, it is obviously unrealistic for drones to collect data from each node. So in order to reduce the spatio-temp...

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Abstract

The invention discloses a large-scale wireless sensor network data collection method based on unmanned aerial vehicles, comprising the following steps: sensor nodes collect surrounding information driven by events; divide the target area according to grid type, and the sensor nodes in the same grid Form a cluster; count the node energy in each cluster, select the node with the most remaining energy in the cluster as the cluster head node; calculate the information value of the non-cluster head nodes in the grid at time t; if the threshold function is given, the node The data is forwarded to the cluster head node in the same grid, otherwise it is returned; the UAV is trained online according to the DFP model, and the path of the UAV is planned; the UAV collects the data of the sensor nodes according to the planned path, and transmits the data back to the base station. The invention applies the DFP model to the path planning problem of the UAV, so that the UAV can maximize the total information value collected and at the same time ensure charging when the battery is low, which is very suitable for scenarios such as animal monitoring, forest fires, and earthquake rescue.

Description

technical field [0001] The invention belongs to the technical field of wireless sensor networks, and in particular relates to a large-scale wireless sensor network data collection method based on an unmanned aerial vehicle. Background technique [0002] Data collection in wireless sensor networks is an active research topic, and scheduling UAVs to acquire sensor data from distributed sensors is expected to significantly improve the data collection efficiency of traditional wireless sensor networks. It has been widely used in disaster rescue, animal tracking, forest monitoring and other fields. The communication methods of wireless sensor networks can be divided into three main types: query-driven, event-driven and clock-driven. In an event-driven sensor network, only when certain specific events (such as earthquakes, fires, temperature / humidity, etc. reach a certain threshold) occur, the sensors are woken up for data transmission, and remain in low-power sleep at other time...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04W4/38H04W4/44H04W40/10H04W40/22H04W40/32H04W52/02H04W84/18G05D1/10
CPCH04W4/38H04W4/44H04W40/10H04W40/22H04W40/32H04W52/0225H04W84/18G05D1/101Y02D30/70
Inventor 燕锋陈佳慧茅珅珅夏玮玮沈连丰胡静宋铁成
Owner SOUTHEAST UNIV