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Please use this identifier to cite or link to this item: http://arks.princeton.edu/ark:/88435/dsp01rj4306993
Title: OPTIMIZING NETWORK CONNECTION SCHEDULING FOR DRONE VIDEO STREAMING
Authors: Kim, Andrew
Advisors: Chiang, Mung
Contributors: Jamieson, Kyle
Department: Electrical Engineering
Class Year: 2016
Abstract: Drones are becoming increasingly popular today, most notably for their ability to provide a remote mobile video stream. Most commercial drones rely on Wi-Fi connections to send video packets to the client, but this limits the range and environments in which drone video streaming is reasonably possible. While work has been done to make drones capable of connecting to networks with greater range, most notably LTE, there has been little investigation into how a drone might switch between different network connections throughout a single flight session to maximize the data it can transfer throughout that flight. The goal of this thesis is to construct a scheduling optimization algorithm that can model the selection of the optimal sequence of connections over a flight for maximum data transfer while accounting for the overhead involved in switching from one connection to another. Using this algorithm, we observe that scheduling optimization yields significantly larger increases in data transferred than a naïve approach as the speed of the drone increases and the density of Wi-Fi APs increases.
Extent: 32 pages
URI: http://arks.princeton.edu/ark:/88435/dsp01rj4306993
Type of Material: Princeton University Senior Theses
Language: en_US
Appears in Collections:Electrical Engineering, 1932-2016

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