Optimized Algorithm for Communication Coverage in UAVs Using Virtual Force Principles

This study delves into the augmentation of emergency communication network coverage algorithms by employing virtual force-based methodologies tailored for unmanned aerial vehicles (UAVs). In locales frequently besieged by natural calamities, terrestrial communication infrastructure often bears the brunt of damage, creating hurdles for crucial emergency transmissions. Recognizing this gap, this investigation leverages the high mobility of multiple UAVs, swiftly addressing communication needs and concurrently curtailing costs and conserving resources. Central to this research is the formulation of UAV perceptual and coverage models, alongside a deep dive into the virtual force algorithms (VFA). In this innovative paradigm, UAVs are analogized to charged particles, and their spatial positions are fine-tuned to bolster network coverage. Experimental outcomes underscore the efficacy of this refined algorithm in amplifying coverage, catering to both uniform and diverse UAV fleets. As this field burgeons, ensuing studies might pivot towards intricate challenges like navigational barriers, intricate three-dimensional coverage scenarios, and the potential integration of hybrid optimization strategies.