Biography

Gabriel Timothy is an undergraduate student studying Bachelor of Advanced Computing majoring in Computer Science and Computational Data Science. His honours thesis project focuses on the analysis of interferences in drone networks used for drone-based delivery services. Gabriel has been working as a tutor and demonstrator in the School of Computer Science in multiple subjects, namely INFO1111, INFO1112, SOFT2412, and ISYS2120. 

Project Title:

Dynamic Analysis of Inter-drone Interferences in Skyway Networks

Project Description:

There is a growing interest in utilization of Unmanned Aerial Vehicles (UAVs) or drones, as a method of transporting goods with increased speed and cost-effectiveness. Recent advancements in drone based delivery services leverage the service paradigm to model Drones-as-a-Service (DaaS). Theses drone services operate in a skyway network which is an interconnected set of nodes (i.e., building rooftops) and segments. The segment serves as an airspace for drones to transit between nodes. These nodes are the building rooftops deployed with recharging pads for drones to recharge during their flight. However, drone services may fail to deliver package as per the requirements due to inter-drone interferences. Interference refers to an event which impacts the scheduled delivery time of drones. These interferences may occur at the nodes or segments. For instance, congestion at a node may cause inter-drone interference as drones compete to wait for their turn to occupy the pads. In this project, we aim to analyze the impact of inter-drone interferences on drone flights by conducting experiments using an indoor drone testbed. This comprehensive analysis will inform decisions to manage the skyway network and drone traffic for optimal operation of drone services in the skyway network.