Minimizing redundant communication in vehicle networks for city mapping
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018.
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| Other Authors: | |
| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2018
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| Online Access: | http://hdl.handle.net/1721.1/119695 |
| _version_ | 1826203854222393344 |
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| author | Zalewski, Aaron Dale |
| author2 | Michael Stonebraker. |
| author_facet | Michael Stonebraker. Zalewski, Aaron Dale |
| author_sort | Zalewski, Aaron Dale |
| collection | MIT |
| description | Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018. |
| first_indexed | 2024-09-23T12:44:41Z |
| format | Thesis |
| id | mit-1721.1/119695 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T12:44:41Z |
| publishDate | 2018 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/1196952019-04-12T17:40:04Z Minimizing redundant communication in vehicle networks for city mapping Zalewski, Aaron Dale Michael Stonebraker. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018. This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. Cataloged from student-submitted PDF version of thesis. Includes bibliographical references (pages 56-57). Modern cars are increasingly equipped with numerous sensors, as well as the ability to send this sensor data over the network to a remote server. This presents the opportunity for a variety of applications that make use of real-time vehicle sensor data. Combined with advances in real-time object detection, this enables real-time updates from vehicle networks that can monitor just about anything on or near the roads. These updates can cover time-sensitive situations as mundane as identifying traffic light outages to events as critical as amber alerts, where real-time updates on a vehicle's location could save lives. With many vehicles frequently passing by the same objects, these vehicles are bound to accumulate large amounts of duplicate data. While storage is often considered an area of interest for high-volume vehicle data, network transmission cost is often even more expensive, meaning that minimizing redundancy at the network communication level presents an opportunity to significantly mitigate the cost of duplicate data, allowing such applications to be economically feasible. Therefore, this thesis addresses the problem of determining how to minimize redundant object reports from vehicles to a common coordinator. The thesis presents and evaluates several protocols for this purpose, and demonstrates that with location-based protocols it is possible to realize substantial data overhead reductions when compared to simplistic protocols, thereby showing that optimizing network communication protocols to reduce data overhead presents the opportunity for significant financial savings. by Aaron Dale Zalewski. M. Eng. 2018-12-18T19:46:08Z 2018-12-18T19:46:08Z 2018 2018 Thesis http://hdl.handle.net/1721.1/119695 1078150158 eng MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission. http://dspace.mit.edu/handle/1721.1/7582 57 pages application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Zalewski, Aaron Dale Minimizing redundant communication in vehicle networks for city mapping |
| title | Minimizing redundant communication in vehicle networks for city mapping |
| title_full | Minimizing redundant communication in vehicle networks for city mapping |
| title_fullStr | Minimizing redundant communication in vehicle networks for city mapping |
| title_full_unstemmed | Minimizing redundant communication in vehicle networks for city mapping |
| title_short | Minimizing redundant communication in vehicle networks for city mapping |
| title_sort | minimizing redundant communication in vehicle networks for city mapping |
| topic | Electrical Engineering and Computer Science. |
| url | http://hdl.handle.net/1721.1/119695 |
| work_keys_str_mv | AT zalewskiaarondale minimizingredundantcommunicationinvehiclenetworksforcitymapping |