University of Twente Student Theses


UAV deployment for flood-resilient mobile networks: a data-driven analysis for the Netherlands

Adamse, J.C.W. (2023) UAV deployment for flood-resilient mobile networks: a data-driven analysis for the Netherlands.

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Abstract:Although the risk of a flood is perceived as low in the Netherlands, it might still result in significant disruptions in critical services. Due to climate change, the chances of a flood might even grow. During a flood base stations (BSs) can be damaged and cease to function. The failing of BSs will lead to people not being able to connect to the network. In an emergency, this can be dangerous. We will use data on the layout of the existing cellular infrastructure provided as a list of base stations by the RDI. This is combined with flood maps provided by the LIWO to show the impact floods can have on the network. To help support the network non-terrestrial BSs can be used. These can provide network access in places where the terrestrial BSs have failed. In this research, we will focus specifically on Unmanned Aerial Vehicles (UAVs). UAVs are suitable to supplement a network in an emergency due to their fast deployment time and their ability to access locations that might be inaccessible over land during a flood. This research aims to find deployment positions for the UAVs that maximize the number of people with network access in the event of a flood for a given number of UAVs. To improve the cover provided by the UAVs we will develop an algorithm that decides where to put the UAVs based on which BSs have dropped out. The algorithm will also prevent the overlap of UAVs with BSs and each other to enlarge the area that will be covered by the UAVs. We will compare the new algorithm with a naive version using simulation.
Item Type:Essay (Bachelor)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science
Programme:Computer Science BSc (56964)
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