Cognitive radio technology that enables dynamic spectrum access has been
a promising solution for the spectrum scarcity problem. Cognitive radio networks
enable the communication on both licensed and unlicensed channels, having the potential
to better solve the interference and collision issues. Channel assignment is of
great importance in cognitive radio networks. When operating on licensed channels,
the objective is to exploit spectrum holes through cognitive communication, giving
priority to the primary users. In this dissertation, we focus on the development of efficient
channel assignment algorithms and protocols to improve network performance
for cognitive radio wireless networks. The first contribution is on channel assignment
for cognitive radio wireless sensor networks aiming to provide robust topology control,
as well as to increase network throughput and data delivery rate. The approach
is then extended to specific cognitive radio network applications achieving improved
performances. / Includes bibliography. / Dissertation (Ph.D.)--Florida Atlantic University, 2016. / FAU Electronic Theses and Dissertations Collection
Identifer | oai:union.ndltd.org:fau.edu/oai:fau.digital.flvc.org:fau_33967 |
Contributors | Wu, Yueshi (author), Cardei, Mihaela (Thesis advisor), Florida Atlantic University (Degree grantor), College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science |
Publisher | Florida Atlantic University |
Source Sets | Florida Atlantic University |
Language | English |
Detected Language | English |
Type | Electronic Thesis or Dissertation, Text |
Format | 176 p., application/pdf |
Rights | Copyright © is held by the author with permission granted to Florida Atlantic University to digitize, archive and distribute this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder., http://rightsstatements.org/vocab/InC/1.0/ |
Page generated in 0.0017 seconds