An Efficient Modified AODV Routing Protocol for Cognitive Radio Network
DOI:
https://doi.org/10.32628/IJSRSET23103188Keywords:
Ad-hoc On-demand Distance Vector, Cognitive Radio Network, Network Simulator 2, Energy AwarenessAbstract
More spectrum is required for data transmission in the Internet of Things, mobility, and cloud computing. The spectrum is a limited resource that, unfortunately, is not utilized by licensed users while being overused by unauthorized users. Spectrum underutilization can now be addressed with cognitive radio technology, which is known to be effective. The purpose of this study is to use a modified AODV routing protocol to increase the success rate of unutilized band spectrum. This study makes proposals on how the issues impacting energy awareness can be addressed based on related work. The performance of the AODV helps increase energy awareness, and its effectiveness to improve spectrum efficiency is subsequently evaluated. An existing Q-AODV protocol is compared with the proposed scheme for modified AODV. NS 2 is used to perform simulations. In terms of throughput, packet delivery ratio, and delay, the proposed system outperforms the Q-AODV routing protocol.. The routing issue was solved by the scheme, which also gradually decreased the factors impacting energy awareness.
References
- Ramahlapane Lerato Moila & Mthulisi Velempini, “Enhancing AODV protocol using QOS constraints to improve routing in Cognitive Radio Ad Hoc Networks” IEEE, 2020.
- D. Chander, & R. Kumar, "QoS Enabled cross-layer multicast routing over mobile ad hoc networks" International conference on smart computing & communication , vol. 125. pp. 21, 2018.
- M. Salamah, & H. Alebeed, “A Spectrum decision scheme for cognitive radio ad hoc networks" Journal of multidisciplinary engineering science and technology, vol. 4, pp. 7681-7687, July 2017.
- X. Huang, J. u.Z. Zhang, F. Zhu, & M. Wu, "Historical Spectrum Sensing Data Mining for Cognitive Radio Enabled Vehicular Ad- Hoc networks", IEEE transactions on dependabl e and secure computing, vol, 13, Feb 2016.
- C. Raghavendran, G. Satish, & P. Suresb, "Intelligent Routing Techniques for Mobile Ad hoc Networks using Swarm Intelligent“,International Journal of Wireless & Mobile Networks intelligent Systems and Applications, vol. I. pp. 81-89, 2013.
- Shubhangi Mahamuni; Vivekanand Mishra; Vijay M.Wadhai, “Performance Evaluation of AODV Routing Protocol in Cognitive Radio Ad-hoc Network” International Journal of Wireless & Mobile Networks (IJWMN) Vol. 2, No. 5, October 2011.
- J. Kaur, & R. Gunn, "Performa nce Analysis of AODV and DYMO Routing protocols in MANETs using Cuckoo search optimization", International Journal of Advanced Research in Computer Science and Management Studies, vol. 2, pp. 236·247, 20 14
- Kout, S. Labed, S. Cbikhi , E.B Bourennane, "AODVCS, a new bio-inspired routing protocol based on cuckoo search algorithm for mobile ad hoc networks", vol. 24, Oct 2018.
- R. Rama, R. Satyananda, & K. Valli, Multi--path selection based 00 fractional cuckoo search algorithm for QoS aware routing in MANEr', sensor review, vol. 39, 2018.
- R. Moila, & M. Velempini, «An Evaluation of the Effectiveness of Cognitive Radio ad hoc Networks" Amcon20 17, pp. 889-893, Sept 2017.
- S. Parvin, F. Hussain, O. Hussain, S. Han, B. Tian, & E. Chang, "Cognitive radio network security: A survey", Journal ofNetwork and Computer Applications, vol. 35, pp. 1691-1708, Nov 2012 .
- T. Rault, A. Bouadallah, & Y. Challal, "Energy Efficiency in Wireless Sensor Networks: A Top-Down Survey" Computer Networks, vol. 67, pp. 104-122, 2014.
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