A Comparison of Bio-Inspired and Conventional Routing Algorithms for Fixed-Wing UAV FANETs


Tezin Türü: Yüksek Lisans

Tezin Yürütüldüğü Kurum: Orta Doğu Teknik Üniversitesi, Enformatik Enstitüsü, Bilişim Sistemleri Anabilim Dalı, Türkiye

Tezin Onay Tarihi: 2021

Tezin Dili: İngilizce

Öğrenci: Burak Şeker

Asıl Danışman (Eş Danışmanlı Tezler İçin): Altan Koçyiğit

Eş Danışman: Enver Ever

Özet:

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.