An analytical approach for modelling unmanned aerial vehicles and base station interaction for disaster recovery scenarios

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Eugene Owilla_MSc_Thesis.pdf

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2022-8

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Owilla, Eugene

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Unmanned Aerial Vehicles (UAVs) are an emerging technology with the potential to be used in various sectors for a wide array of applications and services. In wireless networking, UAVs are a vital part of supplementary infrastructure aimed at improv- ing coverage principally during public safety crises. Due to their relatively low cost and scalability of use, there has been a mushrooming focus into the roles that UAVs can play in ameliorating service provided to stranded ground devices. Following a public safety crisis that impacts key communication infrastructure, large areas may lose cellular coverage. This prompts the need for the employment of D2D communi- cation frameworks as a complement. In this way, the region of interest remains active during recovery operations. In such critical conditions, timely response and network connectivity are important factors for reliable communication. For instance, D2D features facilitate direct communication between first responders and rescue teams. This study focuses on the mathematics of UAVs in the context of disaster recovery. Particularly, we aim to model a queuing framework comprising UAVs as mobile relay nodes between the stranded user devices and neighbouring operational base stations. We present an iterative solution with a novel method for generating initial conditions for the two-stage queuing model and evaluate it with a custom discrete-event simula- tion for very large queue sizes and further analyse the impact of mobile relaying on mean queue length, throughput, and response time.

Subject Keywords

UAV relay nodes, Disaster recovery, Two-stage queuing, Iterative solution

URI

https://hdl.handle.net/11511/99570

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Northern Cyprus Campus, Thesis

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Citation Formats

E. Owilla, “An analytical approach for modelling unmanned aerial vehicles and base station interaction for disaster recovery scenarios,” M.S. - Master of Science, Middle East Technical University, 2022.