Measuring and optimizing for network conditions on drones
Name
1251801776-MIT.pdf
Size
3.85 MB
Format
Adobe PDF
Checksum (MD5)
2a81e1bb7c3a32c8019ebe3dc8046b37
Author(s)
Srinivasan, Aditi(Aditi H.)
Advisor(s)
Hari Balakrishnan.
Date Issued
2021
Publisher
Massachusetts Institute of Technology
Abstract
As drones emerge as viable vehicles for mobile computation, a world where we can deploy a fleet of drones to execute tasks, like streaming real-time video, sounds less like sci-fi and more like a quickly-approaching reality. In order to take full advantage of the capability of drones, we must understand the state of network conditions in the air and determine how we can best optimize for them. Here, we contribute twofold. First, we developed and deployed a set of tools to collect network data on a flying drone and then process it to characterize the network conditions the drone experienced. Second, we developed a simulator to play back the collected network traces and help understand how to harness the power of a fleet of drones working in coordination to compensate for unstable network conditions in the air.
Description
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, February, 2021
Cataloged from the official PDF of thesis.
Includes bibliographical references (pages 43-44).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.
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