# Rapid Deployment Method for Multi-Scene UAV Base Stations for Disaster Emergency Communications
## 4 Simulation Results and Discussion
### Minimum Power Consumption Simulation of UAVs Base Station  
We set the simulation environment in a rectangular area of 4000 m \(\times\) 4000 m, arrange 10 UAVs randomly, and set up 10 target deployment points for the deployment of the UAVs. Within the area, there are 200 ground users in need of rescue. In order to describe the distribution of users on the ground to be rescued, a properly defined measure of distance between points [40] is used to represent the deviation from uniformity. We define the coordinates of the ground users to be rescued as:  
\[Z_{Iperson}=l_{i}+\left(\frac{1}{2}\times\left(1+erf(\frac{U}{\sqrt{2}})\right) \right)^{-1}\times C_{D} \tag{19}\]  
where \(erf\) is the error function, \(U\) is a random number uniformly distributed over an interval (0, 1), \(C_{D}\) represents the discrete coefficient of user distribution on the ground to be rescued. After the disaster environment and the UAV deployment location are determined, all the ground users who are waiting for rescue have the same path loss. On the premise of satisfying the communication service quality of all ground users to be rescued within the coverage range of UAV base stations, the efficiency of UAV base station power consumption can be improved by enabling the UAV base stations to cover the rescue ground users with  
Figure 7: A simulated representation of the deployment of large-area UAVs. (**a**) UAVs’ initial deployment in the large area; (**b**) UAVs’ final deployment results under the large area LAESGA algorithm; (**c**) UAVs’ final deployment results under the large area SAIBFGS algorithm; (**d**) UAVs’ final deployment results under the large area SGA algorithm. a minimum transmission power. The minimum launch power of the UAV base stations is expressed as:  
\[P_{t}=P_{r}+P_{loss}-P_{extra} \tag{20}\]  
where \(P_{extra}\) is a power loss function that varies according to different environments. In order to study the specific energy-saving situation of UAVs based on the UAV power consumption model [41], we express the single UAV base station energy consumption as follows:  
\[E_{UAV}=P_{t}\times t+(13.0397h_{sta}+196.894)\times t+4.6817h_{sta}^{2}-11.9708 h_{sta}+135.3118 \tag{21}\]  
where \(E_{UAV}\) represents the energy of a single UAV base station and \(t\) represents the usage time of the UAV base station. Figure 8 shows a fixed UAV base station with a launch power of 20 dBm. We study the minimum UAV altitude for urban, suburban, and rural environments with a given ground user dispersion coefficient. Figure 9 shows a fixed UAV base station with a height of 200 m. We study the minimum UAV launch power in urban, suburban, and rural environments to meet the specified ground user dispersion coefficient. Figure 8: The relationship between the height of the UAV base station and the discrete coefficient of ground users to be rescued. Figure 9: The relationship between the launch power of UAVs base station and the discrete coefficient of ground users to be rescued. In previous studies, we found that the higher the base station deployment height, the greater the coverage radius, and the higher the base station deployment height, the greater the path loss between the UAV and the user on the ground to be rescued. As shown in Figure 8, we found that the height of UAV base stations needs to be increased to some extent with the increase of the dispersion coefficient of ground users to be rescued in urban, suburban, and rural environments. As shown in Figure 9, we found that with the increase of the dispersion coefficient of ground users to be rescued in urban, suburban, and rural environments, the launch power of UAV base stations needs to be increased to varying degrees. The dispersion coefficient of the ground users in an urban environment is much larger than that in a rural environment, and the dispersion coefficient of the ground users in a suburban environment is between the other two.