An Optimization Perspective on the Interactions Between Models in the Internet of Drones

Abstract

Unlike terrestrial wireless stations, using drones as aerial wireless stations allows for improved wireless services due to their 3-D mobility. Therefore, model interactions play a pivotal role in determining the locations and trajectories of drones and their performance. In this article, we discuss the interactions between models in the Internet of Drones under different real-life scenarios. The models include channel path loss, intelligent reflecting surface placement, solar energy, wireless power transfer, and power consumption. Moreover, we discuss learned lessons and highlight future research directions relevant to these models.