UAV-assisted wireless energy transmission system and node scheduling and path planning method

Abstract

The invention discloses an unmanned aerial vehicle-assisted wireless energy transmission system based on the principle of fairness and its node scheduling and path planning methods. The wireless energy transmission system includes a UAV wireless energy transmission node and K ground sensor nodes. The UAV node flies along a certain path within a certain period of time. At each flight moment, the UAV node transmits wireless signals to the ground sensor nodes dispatched at the current moment, and the sensor nodes perform energy collection and charging. At each moment, only A sensor node is charged. The method of the present invention starts from the perspective of fairness, aims at maximizing the minimum acquired energy of sensor nodes, and considers the constraints of the maximum flight speed of the UAV, the initial flight position and other conditions, and uses the scheduling variables of the sensor nodes and the flight path of the UAV as variables Build a mathematical optimization model. Through continuous convex approximation and other methods, a suboptimal sensor node scheduling and UAV flight path parameter solution is obtained.

Description

technical field [0001] The invention belongs to the technical field of wireless communication and the Internet of Things, and in particular relates to a UAV-assisted wireless energy transmission system based on a fairness criterion and a node scheduling and path planning method thereof. Background technique [0002] Wireless Sensor Network (WSN) is an important form of IoT applications. By deploying a large number of low-cost and low-power distributed sensor nodes in a designated area, relevant data is collected in real time and transmitted back through wireless communication. To the control center, and through the control center for command issuance and operation management, thus forming a multi-hop self-organizing network, which can be widely used in military, intelligent transportation, environmental monitoring, medical and health and other fields. Due to factors such as size and environment, sensor nodes usually rely on their own load energy (such as batteries, etc.) to ...

AI Technical Summary

Problems solved by technology

Especially in a network with a large number of sensor nodes, how to ensure the fairness of each sensor node in energy acquisition, and ensure that each sensor node can collect energy values ​​that meet the requirements during wireless energy transmission for its normal operation , which is an important problem for UAV-assisted wireless energy transfer systems, which has not been tackled by researchers

In order to improve the reliability of the UAV wireless energy transmission system and meet the energy acquisition fairness of a large number of sensor nodes, we propose an optimization model for UAV flight paths and sensor node scheduling based on maximizing the minimum energy acquisition of sensor nodes. It is a non-convex optimization problem with mixed integer variables, so the solution process is very difficult

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