A comparison of bio-inspired and conventional routing algorithms for fixed-wing UAV FANETs

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2021-9

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ŞEKER, Burak

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Fixed-Wing Flying Ad Hoc Networks (FW-FANETs) indicates a communication network in which the nodes are fixed-wing UAVs, or drones, which are distributed within a 3D environment. For FW-FANET applications where the network topology is very dynamic due to the mobility of nodes within a 3D environment, the selection of the routing algorithm is one of the main challenges. Among other alternatives, as a Swarm Intelligence based bio-inspired routing algorithm, AntHocNet offers a great potential to deal with the issues of FW-FANETs. In this thesis, use of AntHocNet and other conventional routing algorithms such as OLSR and AODV are compared by conducting network simulations in NS3 network simulation environment.

Subject Keywords

Flying ad-hoc networks, Swarm intelligence algorithms, AntHocNet, Routing algorithms, Fixed-wing UAV

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https://hdl.handle.net/11511/93053

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Graduate School of Informatics, Thesis

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Citation Formats

B. ŞEKER, “A comparison of bio-inspired and conventional routing algorithms for fixed-wing UAV FANETs,” M.S. - Master of Science, Middle East Technical University, 2021.