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- Title
Bio-inspired route estimation in cognitive radio networks.
- Authors
Tuberquia, Miguel; Lopez-Chavez, Hans; Hernandez, Cesar
- Abstract
Cognitive radio is a technique that was originally created for the proper use of the radio electric spectrum due its underuse. A few methods were used to predict the network traffic to determine the occupancy of the spectrum and then use the ‘holes’ between the transmissions of primary users. The goal is to guarantee a complete transmission for the second user while not interrupting the trans-mission of primary users. This study seeks the multifractal generation of traffic for a specific radio electric spectrum as well as a bio-inspired route estimation for secondary users. It uses the MFHW algorithm to generate multifractal traces and two bio-inspired algo-rithms: Ant Colony Optimization and Max Feeding to calculate the secondary user’s path. Multifractal characteristics offer a predic-tion, which is 10% lower in comparison with the original traffic values and a complete transmission for secondary users. In fact, a hybrid strategy combining both bio-inspired algorithms promise a reduction in handoff. The purpose of this research consists on deriving future investigation in the generation of multifractal traffic and a mobility spectrum using bio-inspired algorithms.
- Subjects
COGNITIVE radio; RADIO networks
- Publication
International Journal of Electrical & Computer Engineering (2088-8708), 2020, Vol 10, Issue 3, p3095
- ISSN
2088-8708
- Publication type
Article
- DOI
10.11591/ijece.v10i3.pp3095-3107