Performance Evaluation of Flight Energy Consumption of UAVs in IRS-assisted UAV Systems

The research regarding the cooperation between unmanned aerial vehicles (UAVs) and intelligent reflecting surface (IRS) has attracted great attenuation in recent years. However, one of the key technical weaknesses is the limited service duration of onboard battery-empowered UAVs. Aiming to prolong UAVs flight time, in this paper, UAVs flight energy consumption minimization problem is formulated along with a list of constraints. To solve the challenging problem, the original problem is decoupled into two subproblems, where the first one is solved by using the proposed modified differential evolution algorithm and the second subproblem is resolved by means of the proposed modified grey wolf algorithm. The results verify the effectiveness of the proposed solution. The outcome obtained in this paper can be further extended to reliable indoor communication services, such as library indoor positioning and navigation and library emergency communications.