Masters Theses
Abstract
"This thesis discusses the Hydrological Hybrid Communication Sensor Network (HHCSN), which is designed for in situ measurement of various hydrological properties of a watershed. HHCSN is comprised of a network of sensor strings, each of which connects up to 100 sensing nodes on a communication line as long as 100 m. Each node includes sensors that measure soil attributes of interest, as well as a microcontroller with basic communication and processing capabilities. A relay point at the surface compresses data from the nodes and wirelessly transmits it to a base station that serves as a gateway to the outside world. The base station compresses data from multiple strings and utilizes the GSM cellular infrastructure to communicate the data to a remote server and to receive software updates to be disseminated to the sensor strings. Ultra-low power design and remote maintenance result in an unattended eld life of over ve years. The system is scalable in area and sensor design modality, as covering a larger area would only entail the addition of sensor strings, and the nodes are designed to facilitate the interfacing of additional sensors. The system is robust, as the only exposed portion is the relay point. Data collection and transmission can be event-driven or time-driven. Battery power, which is supplemented by solar harvesting, and wireless short- and long-range communication, eliminate the need for surface wiring, signicantly reducing the cost of system deployment. Currently, the estimate is a cost of less than $40 for each sensor string, which compares very favorably to the price of existing systems, most of which oer very limited in situ measurement capabilities, yet cost tens of thousands of dollars"--Abstract, page iii.
Advisor(s)
Sedigh, Sahra
Committee Member(s)
Atekwana, Estella A.
Grant, Steven L.
Department(s)
Electrical and Computer Engineering
Degree Name
M.S. in Electrical Engineering
Sponsor(s)
United States. Department of the Navy
United States. Department of Transportation
Publisher
Missouri University of Science and Technology
Publication Date
2008
Pagination
ix, 87 pages
Note about bibliography
Includes bibliographical references.
Rights
© 2008 John R. Koch, All rights reserved.
Document Type
Thesis - Open Access
File Type
text
Language
English
Subject Headings
Watershed managementEnvironmental monitoring -- InstrumentsEmbedded computer systemsSensor networks
Thesis Number
T 10257
Print OCLC #
863154429
Electronic OCLC #
228872640
Recommended Citation
Koch, John R., "A hybrid sensor network for watershed monitoring" (2008). Masters Theses. 5434.
https://scholarsmine.mst.edu/masters_theses/5434