AI-HTP- Hybrid Transport Routing Protocol for Cognitive Radio Ad-Hoc Networks: A Novel Model with Cross-Layer Network Parameter Optimization using AI Learning
Keywords:
.Abstract
Cognitive Radio Networks (CRNs) have evolved as a transformative paradigm for improvingspectrum efficiency by opportunistically exploiting underutilized or idle licensed frequencybands within dynamic radio environments. The fundamental principle of CRNs is to enable Secondary Users (SUs) to opportunistically
References
F. Tang, H. Zhang, L. Fu and X. Li, "Distributed Stable Routing with Adaptive Power Control for Multi-Flow and Multi-Hop Mobile Cognitive Networks," IEEE Transactions on Mobile Computing, vol. 18, no. 12, pp. 2829-2841, 2019. ‘https://doi.org/10.1109/TMC.2018.2885762’.
Downloads
Published
2024-11-20
How to Cite
Majid Shaikh,Dr. Priti Mishra. (2024). AI-HTP- Hybrid Transport Routing Protocol for Cognitive Radio Ad-Hoc Networks: A Novel Model with Cross-Layer Network Parameter Optimization using AI Learning. Journal of Computational Analysis and Applications (JoCAAA), 33(08), 2408–2425. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/4332
Issue
Section
Articles
