  Unmanned Aerial Vehicles (UAVs) are increasingly used to enable wireless
communications. Due to their characteristics, such as the ability to hover and
carry cargo, UAVs can serve as communications nodes, including Wi-Fi Access
Points and Cellular Base Stations. In previous work, we proposed the
Sustainable multi-UAV Performance-aware Placement (SUPPLY) algorithm, which
focuses on the energy-efficient placement of multiple UAVs acting as Flying
Access Points (FAPs). Additionally, we developed the Multi-UAV Energy
Consumption (MUAVE) simulator to evaluate the UAV energy consumption,
specifically when using the SUPPLY algorithm. However, MUAVE was initially
designed to compute the energy consumption for rotary-wing UAVs only.
  In this paper, we propose eMUAVE, an enhanced version of the MUAVE simulator
that allows the evaluation of the energy consumption for both rotary-wing and
fixed-wing UAVs. Our energy consumption evaluation using eMUAVE considers
reference and random networking scenarios. The results show that fixed-wing
UAVs can be employed in the majority of networking scenarios. However,
rotary-wing UAVs are typically more energy-efficient than fixed-wing UAVs when
following the trajectories defined by SUPPLY.
