Trajectory planning method for unmanned aerial vehicle in wireless sensor network

Abstract

The invention discloses a trajectory planning method for an unmanned aerial vehicle in a wireless sensor network. The method models the design problem of multiple unmanned aerial vehicle trajectoriesin the wireless sensor network into a mixed integer non-convex optimization problem. The method comprises the following steps: firstly, grouping sensor nodes based on an aggregation algorithm to forma plurality of node sets; calculating, for each node set, an access sequence of the sensor nodes accessed by the unmanned aerial vehicle in the node set; using a convex optimization technology to calculate a corresponding trajectory point for each access sequence, and using the trajectory point to calculate to obtain a center point so as to obtain a new node set; and based on the new node set, obtaining a corresponding new trajectory point according to the above process until the minimum access time is obtained, so that each unmanned aerial vehicle can reliably collect data from the corresponding sensor node set, and the flight time of all the unmanned aerial vehicles can be minimized.

Description

technical field [0001] The present invention relates to the technical field of communication, and more specifically, to a trajectory planning method of a drone in a wireless sensor network. Background technique [0002] Over the past few decades, the use of wireless sensor networks, which consist of a large number of sensor nodes distributed in different geographical locations, has grown rapidly. With recent advances in the manufacturing process of electronic devices, sensor nodes can obtain lower market prices and higher capabilities to capture, process, and transmit data. Wireless sensor networks have been widely used in various fields, including information collection, environmental monitoring, industrial automation, and intelligent buildings. [0003] However, the limited energy of sensor nodes has become the main design problem to prolong the service life of wireless sensor networks. The traditional approach of wireless sensor networks is to collect data through multi...

AI Technical Summary

Problems solved by technology

First, due to the dynamically changing wireless channel between the sensor node and the mobile UAV, the transmission packet loss is serious

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