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Routing is a crucial component in the design of Flying Ad-Hoc Networks (FANETs). State of the art routing solutions exploit the position of Unmanned Aerial Vehicles (UAVs) and their mobility information to determine the existence of links between them, but this information is often unreliable, as the topology of FANETs can change quickly and unpredictably. In order to improve the tracking performance, the uncertainty introduced by imperfect measurements and tracking algorithms needs to be accounted for in the routing. Another important element to consider is beamforming, which can reduce interference, but requires accurate channel and position information to work. In this work, we present the Beam Aware Stochastic Multihop Routing for FANETs (BA-SMURF), a Software-Defined Networking (SDN) routing scheme that takes into account the positioning uncertainty and beamforming design to find the most reliable routes in a FANET. Our simulation results show that joint consideration of the beamforming and routing can provide a 5% throughput improvement with respect to the state of the art.
This project has received funding from the European Union's Horizon 2020 research and innovation program under the Marie SklodowskaCurie Grant agreement No. 813999. The work of A. Pastore and X. Mestre was supported by Grant RTI2018-099722-B-I00 funded by MCIN/AEI/10.13039/501100011033 and by "ERDF A way of making Europe". The author affiliations and emails are as follows: © 2022, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other work.
Signal Processing (eess.SP), FOS: Computer and information sciences, Ad hoc networks, Aerial vehicle, State of the art, Computer Science - Networking and Internet Architecture, Position Uncertainty, Beamforming, FOS: Electrical engineering, electronic engineering, information engineering, Electrical Engineering and Systems Science - Signal Processing, Stochastics, Flying ad-hoc network, Networking and Internet Architecture (cs.NI), Flying Ad-Hoc Networks, Position uncertainties, Stochastic systems, Uncertainty, mmWave Communication, Ad-hoc networks, Multi-hop routing, Routings, Network routing, Uncertainty analysis, Mm-wave Communications, Antennas
Signal Processing (eess.SP), FOS: Computer and information sciences, Ad hoc networks, Aerial vehicle, State of the art, Computer Science - Networking and Internet Architecture, Position Uncertainty, Beamforming, FOS: Electrical engineering, electronic engineering, information engineering, Electrical Engineering and Systems Science - Signal Processing, Stochastics, Flying ad-hoc network, Networking and Internet Architecture (cs.NI), Flying Ad-Hoc Networks, Position uncertainties, Stochastic systems, Uncertainty, mmWave Communication, Ad-hoc networks, Multi-hop routing, Routings, Network routing, Uncertainty analysis, Mm-wave Communications, Antennas
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