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Massachusetts Institute of Technology

TephraNet : wireless self-organizing network platform for environmental sensing

Abstract

dc:description.abstract

The growing number of threats to the Earth's environment necessitates the gathering of fine grained environmental sensor data to deepen our understanding of endangered species and assist in their protection. Traditional techniques for gathering environmental data, such as periodic field studies or satellite imaging, do not produce adequately detailed or persistent information. Self-organizing wireless networking provides an ideal way to quickly deploy and gather data from sensor networks in the field. The design of a practical, low-cost, and self organizing wireless sensor network, TephraNet, is examined. This thesis also explores an implementation and deployment of TephraNet in Hawaii Volcanoes National Park to learn about the endangered ground plant Silene hawaiiensis.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2001

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Wheeler, Andrew J. (Andrew James), 1978-
Advisor dc:contributor.advisor
  • Michael J. Hawley.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • 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.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/57671
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/57671

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Wheeler, Andrew J. (Andrew James), 1978-. TephraNet : wireless self-organizing network platform for environmental sensing. Massachusetts Institute of Technology, 2001. http://hdl.handle.net/1721.1/57671