# FANET Routing Protocol Analysis for Multi-UAV-Based Reconnaissance Mobility Models
## 7 Conclusions  
In this paper, we analyzed the performance of routing protocols and mobility models that could be used for the multi-UAV-based reconnaissance scenario. In RQ1, we analyzed the PDR performance of AODV, DSDV, and OLSR in the reconnaissance scenario, and we found that AODV, a reactive routing protocol, yielded the highest PDR performance (81%) with SRWP in the reconnaissance scenario. In RQ2, we analyzed routing protocols AODV, DSDV, and OLSR under the consideration of network connectivity in FANET. We found that as the density of nodes increases, the connectivity increases. However, we also found that, even if the connectivity continuously increases, the performance of the routing protocol does not continuously improve. In RQ3, we identified the mobility model with the highest PDR performance in the reconnaissance scenario. We found SWRP as the appropriate mobility model, only if we considered the PDR performance. As a reconnaissance rate was also important for a mobility model, we identified a mobility model adequate for the reconnaissance scenario in consideration of both the PDR performance and the reconnaissance rate in RQ4. As a result, SRWP showed the highest PDR performance of 76%, and RDPZ and EGM models were found to be effective at 62% and 59%. Finally, in RQ5, we analyze the impact of the GCS location on the PDR performance of mobility models in reconnaissance scenarios. We found that as the distribution of nodes was different depending on the mechanism of the mobility model, the GCS location has an impact on the PDR performance of mobility models. In the future, we would like to evaluate routing protocols and mobility models in more realistic scenarios. For that, as we already discussed in Section 6.4, we could consider the remaining issues, an energy-efficient analysis, an analysis of altitudes of UAVs, an analysis of different routing protocols, and an analysis of the physical characteristics of UAVs. By considering these issues, we will first refine reconnaissance scenarios and classify them. We will then set up a physical environment or develop a simulator that can set up such conditions. Based on the scenarios and environment, we will experiment with and develop a FANET routing protocol that can show excellent performance in reconnaissance scenarios. We will finally evaluate the performance of FANET routing protocols more objectively by scaling up reconnaissance scenarios and experimental environments. Conceptualization, T.K. and S.L. ; methodology, T.K. and K.H.K. ; software, T.K., Y.-I.J. and K.H.K. ; validation, T.K., K.H.K. and S.L. ; formal analysis, T.K. and K.H.K. ; investigation, S.L. ; resources, T.K. ; writing--original draft preparation, T.K. ; writing--review and editing, T.K. and S.L. ; visualization, T.K. ; supervision, S.L. and K.H.K. ; project administration, S.L. ; funding acquisition, S.L. All authors have read and agreed to the published version of the manuscript. These results were supported by the \"Regional Innovation Strategy (RIS)\" through the National Research Foundation of Korea (NRF), funded by the Ministry of Education (MOE) (2021 RIS-003). This research was also supported by the Program through the National Research Foundation of Korea (NRF) grant, funded by the Ministry of Education (NRF-2021R1A2C1094167). Not applicable  
This research was also supported by Kyungpook National University Research. The authors declare no conflict of interest. The following abbreviations are used in this manuscript: