Optimization of Ant Colony for Next Generation Wireless Cognitive Networks

Year 2021, , 779 - 784, 01.09.2021

Muhammed Enes Bayrakdar , Ali Çalhan

https://doi.org/10.2339/politeknik.635065

Cited By: 3

Abstract

In this work, the spectrum handoff process carried out by secondary users according to priority classes in cognitive radio networks is proposed. The network structure design of analytical and simulation models is simulated with the RIVERBED software. Moreover, deciding on the most suitable spectrum handoff process is determined by using artificial intelligence techniques. Using multi-parameter decision-making processes is the objective of our work. Optimization of the spectrum handoff number with the help of an ant colony algorithm is the main goal of our work. By studying similar aspects of cognitive radio networks and ant colony algorithms, the number of handoffs is reduced within the most appropriate scenario.

Keywords

Ant colony, Cognitive radio, Handoff, Optimization, Spectrum management

Supporting Institution

Düzce Üniversitesi

Project Number

2018.07.02.732

Thanks

This research is supported by the Duzce University Scientific Research Projects Office with grant number 2018.07.02.732.

Optimization of Ant Colony for Next Generation Wireless Cognitive Networks

Abstract

In this work, spectrum
handoff process carried out by secondary users according to priority classes in
cognitive radio network is proposed. Network structure design of analytical and
simulation models is simulated with RIVERBED software. Moreover, deciding on
the most suitable spectrum handoff process is determined by using artificial
intelligence techniques. Using multi parameter decision making processes is the
objective of our work. Optimization of the spectrum handoff number with the
help of ant colony algorithm is the main goal of our work. By studying similar
aspects of cognitive radio networks and ant colony algorithms, the number of
handoff is reduced within the most appropriate scenario.

Keywords

Ant colony, Cognitive radio, Handoff, Optimization, Spectrum management

Project Number

2018.07.02.732

References

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