Model
Digital Document
Publisher
Florida Atlantic University
Description
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.
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.
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