Sabit kanatlı insansız hava araçlarının oluşturduğu uçan düzensiz oluşumlu ağlar için biyolojik esinlenmeli ve geleneksel yönlendirme algoritmalarının karşılaştırılması

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.