NDLI: Genetic Algorithm Optimization in a Cognitive Radio for Autonomous Vehicle Communications

Content Provider	IEEE Xplore Digital Library
Author	Hauris, J.F.
Copyright Year	2007
Description	Author affiliation: BAE SYST., Reston (Hauris, J.F.)
Abstract	Autonomous vehicles travel through a varying environment that is not limited to the physical terrain but also includes the "RF terrain". The autonomous vehicle must be able to adapt to the varying RF conditions. "Cognitive radios" are being developed that address this issue. This paper discusses the use of genetic algorithms (GA) to implement the adaptive processes for a cognitive radio on an autonomous vehicle. Specifically GA's are used to solve the optimization of RF parameters for a wireless network. In particular, a fitness measure is derived which provides a figure of merit for the performance of the GA in relation to overall RF performance. Additionally, a chromosome structure is derived which consists of "RF genes". Each gene is a binary string representing some aspect or parameter of the RF environment. Finally the GA determines a set of RF parameters for optimal radio communications in the varying RF environment.
Starting Page	427
Ending Page	431
File Size	479621
Page Count	5
File Format	PDF
ISBN	1424407893
DOI	10.1109/CIRA.2007.382925
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-06-20
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Genetic algorithms Cognitive radio Remotely operated vehicles Mobile robots Radio frequency Receiving antennas Transmitting antennas Noise figure Biological cells Modulation coding
Content Type	Text
Resource Type	Article

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