Electrical and Computer Engineering ETDs

Publication Date

Fall 12-13-2025

Abstract

Unmanned Aerial Vehicles (UAVs) have been widely deployed in applications such as environmental monitoring, disaster response, and surveillance. Effective coordination between UAVs depends on low-latency inter-UAV communication to exchange state information, decisions, and other critical data. UAV networks are inherently dynamic which necessitates a framework capable of handling scenarios such as traffic re-routing, and resilience to communication failures. To address the challenges of managing dynamic UAV networks, this thesis proposes a dual network approach composed of three main components. First, the Better Approach to Mobile Ad-hoc Networking (BATMAN) protocol is used to enable communication among UAVs. Second, the OpenFlow protocol will facilitate communication between a central controller and the UAVs. Third, a graphical user interface (GUI) is developed to allow the controller to visualize the network topology and request data. The proposed framework is evaluated on a testbed consisting of one controller and two Raspberry Pis acting as OpenFlow devices.

Keywords

Unmanned Aerial Vehicles, Software Defined Networking, Wireless Mesh Networks, OpenFlow, B.A.T.M.A.N, inband control, test bed implementation, raspberry pi, RYU, autonomous routing

Document Type

Thesis

Language

English

Degree Name

Computer Engineering

Level of Degree

Masters

Department Name

Electrical and Computer Engineering

First Committee Member (Chair)

Dr Michael Devetsikiotis

Second Committee Member

Dr Edward Nava

Third Committee Member

Dr Christos Christodoulou,

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