Enhancing Cognitive Radio Ad Hoc Networks: Integration of Q-Routing into Clustering Protocols

DOI

10.2991/978-94-6463-589-8_45How to use a DOI?

Keywords

Cognitive Radio Ad Hoc Networks (CRAHNs); Routing Protocol; Ad hoc On-Demand Distance Vector Routing (AODV); Cognitive Radio Networks

Abstract

Cognitive Radio Ad Hoc Networks (CRAHNs) have introduced a myriad of challenges in identifying optimal routing protocols suitable for dynamic and diverse application domains. Traditional routing protocols often overlook the unique challenges posed by CRAHNs, particularly the dynamic topology due to node mobility. This research proposes a revised routing protocol that integrates cluster network topology management with a Q-routing scheme to enhance spectrum utilization, stability, and routing optimization. Clustering is an effective technique for network topology management, addressing issues of scalability and stability by forming large clusters that accommodate more nodes, although large clusters often face instability. The proposed protocol focuses on forming stable and scalable clusters, thereby minimizing communication overhead and improving intra-cluster and inter-cluster routing. Q-routing, based on reinforcement learning, dynamically evaluates the best routing paths by disseminating route packets and enabling each node to make independent routing decisions. Simulation results using OMNeT + + demonstrate the protocol's efficacy in selecting stable routes and shorter paths, leading to improved performance metrics such as packet delivery ratio, throughput, hop count, and routing overhead. The study acknowledges the necessity of real-world implementation to provide accurate insights into the protocol's behavior under varying network conditions. Future work should prioritize real-world scenario testing to validate the simulation results and further enhance the proposed protocol's applicability in practical CRAHN environments.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Nor Hafifah Mohd Zahir
AU  - Mohamad Yusof Darus
AU  - Mohsen Mohamad Hata
PY  - 2024
DA  - 2024/12/01
TI  - Enhancing Cognitive Radio Ad Hoc Networks: Integration of Q-Routing into Clustering Protocols
BT  - Proceedings of the International Conference on Innovation & Entrepreneurship in Computing, Engineering & Science Education (InvENT 2024)
PB  - Atlantis Press
SP  - 488
EP  - 497
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-589-8_45
DO  - 10.2991/978-94-6463-589-8_45
ID  - Zahir2024
ER  -