Doctoral Dissertations
Abstract
"In this work, energy-efficient protocols for wireless sensor networks (WSN) with applications to prognostics are investigated. Both analytical methods and verification are shown for the proposed methods via either hardware experiments or simulation. This work is presented in five papers. Energy-efficiency methods for WSN include distributed algorithms for i) optimal routing, ii) adaptive scheduling, iii) adaptive transmission power and data-rate control"--Abstract, page iv.
Advisor(s)
Sarangapani, Jagannathan, 1965-
Watkins, Steve Eugene, 1960-
Committee Member(s)
Zheng, Y. Rosa
Saygin, Can
Stanley, R. Joe
Department(s)
Electrical and Computer Engineering
Degree Name
Ph. D. in Electrical Engineering
Sponsor(s)
Air Force Research Laboratory (Wright-Patterson Air Force Base, Ohio)
Publisher
Missouri University of Science and Technology
Publication Date
Spring 2008
Journal article titles appearing in thesis/dissertation
- Adaptive distributed fair scheduling for multiple channels in wireless sensor networks
- Embeddable sensor mote for structural monitoring
- Fault detection and prognostics using NN/RISE Observer with applications to civil infrastructure monitoring
- Joint adaptive distributed rate and transmission power control scheme for wireless sensor and ad-hoc networks
- Optimized energy-delay sub-network routing protocol development and implementation for wireless sensor networks
Pagination
xiii, 196 pages
Note about bibliography
Includes bibliographical references.
Rights
© 2008 James William Fonda, All rights reserved.
Document Type
Dissertation - Open Access
File Type
text
Language
English
Subject Headings
Adaptive control systems -- DesignFault location (Engineering)Neural networks (Computer science)Sensor networks -- DesignWireless LANs -- DesignWireless communication systems
Thesis Number
T 9330
Print OCLC #
298243626
Electronic OCLC #
228888451
Recommended Citation
Fonda, James W., "Energy efficient wireless sensor network protocols for monitoring and prognostics of large scale systems" (2008). Doctoral Dissertations. 2168.
https://scholarsmine.mst.edu/doctoral_dissertations/2168