Intelligent four dimensional routing for heterogeneous drones inurban missions using adaptive clustering algorithm

In this article, an intelligent four dimensional routing method forheterogeneous drones in urban missions is investigated and presented.This method allows drones to intelligently determine their routes inurban environments and execute various missions using an algorithmbased on adaptive clustering. Through adaptive clustering withenvironmental features, drones will be able to respond accurately andquickly to environmental changes and benefit from optimal routing toachieve their mission objectives. Simulation results demonstrate that theuse of this routing method improves the performance and efficiency ofheterogeneous drones in urban missions and also leads to a reduction inrouting execution time compared to other common methods. In otherwords, tasks can be performed with high accuracy in the shortestpossible time. This article aims to provide a significant enhancement inheterogeneous drone routing in urban environments and has extensiveapplications in security, surveillance, and communication fields.

کلیدواژه ها:

routing ، heterogeneous drones ، adaptive clustering algorithm ، reduction of execution time