S&M2686 Research Paper of Special Issue
Published: September 30, 2021
Route Planning and Monitoring Design of Unmanned Aerial Vehicles Based on Global Particle Algorithm [PDF]
Zhi Ding and Yuze Li
(Received March 23, 2021; Accepted June 28, 2021)
Keywords: UAVs, data transmission, cloud operating systems, route planning, multimode communications
Unmanned aerial vehicles (UAVs), possessing the characteristics of a sensor and a sensing function, are in great demand in emergency rescue, agricultural plant protection, police and law enforcement, geological exploration, environmental monitoring, film and television entertainment, and other industries. However, the UAV industry is faced with various bottlenecks, such as the low intelligence level of UAVs, the high technical threshold for completing complex tasks, the lack of autonomous cooperative ability between the formation of UAVs, and the lack of an intelligent operating system. To achieve the route planning and monitoring design of UAVs, we first designed a remote intelligent monitoring system for a UAV based on multimode communication and cloud computing, which consisted of an intelligent control module, a coordination module for the multimode communication and autonomous formation of UAVs, a UAV cloud operating system, and panoramic image dynamic fusion technology. Then, we presented an adaptive data transmission method based on priority in the multimode communication system. Finally, a route planning and monitoring design based on a global particle algorithm was designed for the remote intelligent monitoring system of the UAV. The simulation results show that the remote security system operates normally and meets urgent communication needs. At the same time, both data and video image transmission can be achieved, and the route of the UAV can be effectively planned.
Corresponding author: Yuze Li
This work is licensed under a Creative Commons Attribution 4.0 International License.
Cite this article
Zhi Ding and Yuze Li, Route Planning and Monitoring Design of Unmanned Aerial Vehicles Based on Global Particle Algorithm, Sens. Mater., Vol. 33, No. 9, 2021, p. 3255-3267.