Abstract
The simulation and evaluation of networking protocols for airborne networks (ANs) require accurate random mobility models. In our previous studies, we developed a 3D smooth-turn (ST) random mobility model that captures the smoothness of aerial trajectories. The model follows physical laws that govern the spatiotemporal correlation of aerial turns. In this paper, we suggest an estimation procedure to extract parameters in the model from real flight test data. The good match between the estimated trajectories and real flight trajectories also validates the suitability of this model for ANs. The 3D ST random mobility model and the estimation procedure lead to the creation of "realistic" simulation and evaluation environment for airborne networks.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.