Opportunistic sensing and mobile data delivery in the CarTel System
Name
631215009-MIT.pdf
Description
Full printable version
Size
18.95 MB
Format
Adobe PDF
Checksum (MD5)
6e7b336732f16e8464d5eb2962f9ad50
Author(s)
Hull, Bret Warren, 1980-
Advisor(s)
Hari Balakrishnan.
Date Issued
2010
Publisher
Massachusetts Institute of Technology
Abstract
Wide-area sensor systems enable a broad class of applications, including the fine-grained monitoring of traffic congestion, road surface conditions, and pollution. This dissertation shows that it is possible to build a low-cost, wide-area sensor system. Our approach relies on two techniques: using existing motion from such sources of mobility as cars and people to provide coverage (opportunistic mobility), and using the abundance of short duration network connections to provide low-cost data delivery (opportunistic networking). We use these two techniques to build a mobile sensor computing system called CarTel, to collect, process, deliver, and visualize spatially diverse data. CarTel consists of three key components: hardware placed in users' cars to provide remote sensing, a communication stack called CafNet to take advantage of opportunistic networking, and a web-based portal for data visualization. This dissertation describes the design and implementation of these three components. In addition, we analyze the properties of opportunistic networking and mobility. To show the viability of opportunistic networking, we studied Internet access from moving vehicles and found that the median duration of link layer connectivity at vehicular speeds was 13 seconds, that the median connection upload bandwidth was 30 KBytes/s, and that the mean duration between successful associations to APs was 75 seconds. To show the viability of opportunistic mobility, we used a simulation and found that after as little as 100 drive hours, a CarTel deployment could achieve over 80 percent coverage of useful roads for a traffic congestion monitoring application.
Description
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2010.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 94-102).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
M.I.T. theses are protected by
copyright. They may be viewed from this source for any purpose, but
reproduction or distribution in any format is prohibited without written
permission. See provided URL for inquiries about permission.
copyright. They may be viewed from this source for any purpose, but
reproduction or distribution in any format is prohibited without written
permission. See provided URL for inquiries about permission.
Persistent DSpace Link
