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Massachusetts Institute of Technology

Design and implementation of a real-time, chemical sensor network

Abstract

dc:description.abstract

Current methods of environmental chemical data collection are limited in both time and space. This limited set of data inhibits researchers from fully understanding the chemical processes occurring in water bodies. In order to gain further insight, it is necessary to develop a new method of data collection that will increase the amount of data collected many times over. The proposed project will deploy a real-time, chemical sensor network at Upper Mystic Lake. Nodes in the network will collect and store massive amounts of chemical data for subsequent analysis by researchers. The major phases of the project include specification of the network, physical construction of network nodes, software development for control of nodes, and testing of network performance. The work will be completed in the Ralph Parsons Laboratory at MIT.

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
2004

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Wong, Joseph Y. (Joseph Yee), 1981-
Advisor dc:contributor.advisor
  • Harold F. Hemond.

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/1721.1/18003
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/18003

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

Wong, Joseph Y. (Joseph Yee), 1981-. Design and implementation of a real-time, chemical sensor network. Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/18003