Efficient Scheduling and Collision Reduction in Hybrid Cognitive Radio Network using SBP

Authors

  • Rathika. P.D Assistant Professor, Department of ECE, Jay Shriram Group of Institutions, Tirupur 638660, India
  • S. Sophia Professor, Department of ECE, Sri Krishna College of Engineering and Technology, Coimbatore 641008, India

DOI:

https://doi.org/10.24297/jac.v13i1.6713

Keywords:

Cognitive Radio Network, Quality of Service

Abstract

Nowadays, Cognitive Radio Networks have been considered, investigated and planned in an energetic manner. But maximum works focused on separate areas like Allocation, Sensing and Sharing of Spectrum, etc.  In this paper, propose a HCRN with the subsequent characteristics of priority based scheduling based on centralized switching delay aware network and distributed broadcasting protocol to decrease collision and enhance scheduling. For developing Hybrid Cognitive Radio Networks (HCRN) lot of space is still available. The proposed HCRN is simulated and network quality of service is estimated in terms of packet delivery ratio, control overhead, throughput and broadcast delay.

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References

[1] Yi Song and Jiang XieBRACER, “A Distributed Broadcast Protocol in Multi-Hop Cognitive Radio Ad Hoc Networks with Collision Avoidance” IEEE Transactions on Mobile Computing, Vol 14, No. 3 , March 2015.
[2] Al Rawi, A.F.; Aissa, S.; Tsimenidis, C.C.; Sharif, B.S., "Game Theoretic Framework for Future Generation Networks Modelling and Optimization," Wireless Communications, IEEE Transactions on , vol.13, no.3, pp.1153,1163, March 2014 doi: 10.1109/TWC.2014.012314.120977
[3] Li Yu, Cong Liu, Wenwu Zhu, Sha Hua and Wei Wang, “Bandwidth Efficient and Rate-Adaptive Video Delivery in TV White Space”, IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, VOL. 24, NO. 9, SEPTEMBER 2014, doi 10.1109/TCSVT.2014.2310135
[4] Lu Lu; Dawei He; Xingxing Yu; Li, G.Y., "Graph-based robust resource allocation for cognitive radio networks," Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on , vol., no., pp.7298,7302, 4-9 May 2014 doi: 10.1109/ICASSP.2014.6855017
[5] Naeem, M.; Anpalagan, A.; Jaseemuddin, M.; Lee, D.C., "Resource Allocation Techniques in Cooperative Cognitive Radio Networks," Communications Surveys & Tutorials, IEEE , vol.16, no.2, pp.729,744, Second Quarter 2014 doi: 10.1109/SURV.2013.102313.00272
[6] Rawat, D.B.; Shetty, S.; Raza, K., "Game Theoretic Dynamic Spectrum Access in Cloud-Based Cognitive Radio Networks," Cloud Engineering (IC2E), 2014 IEEE International Conference on , vol., no., pp.586,591, 11-14 March 2014 doi: 10.1109/IC2E.2014.16
[7] Tung Thanh Le; Dong-Seong Kim, "An efficient throughput improvement through bandwidth awareness in cognitive radio networks," Communications and Networks, Journal of, vol.16, no.2, pp.146,154, April 2014 doi: 10.1109/JCN.2014.000025
[8] Didem Go ¨zu ¨pek, Seyed Buhari, and Fatih Alagoz, “A Spectrum Switching Delay-Aware Scheduling Algorithm for Centralized Cognitive Radio Networks”, IEEE Transactions on Mobile Computing, Vol. 12, No. 7, July 2013.
[9] Duy Trong Ngo; Le-Ngoc, Tho, "Distributed Resource Allocation for Cognitive Radio Networks With Spectrum-Sharing Constraints," Vehicular Technology, IEEE Transactions on , vol.60, no.7, pp.3436,3449, Sept. 2011 doi: 10.1109/TVT.2011.2157845
[10] Niyato, D.; Hossain, E., "Cognitive radio for next-generation wireless networks: an approach to opportunistic channel selection in ieee 802.11-based wireless mesh," Wireless Communications, IEEE , vol.16, no.1, pp.,, February 2009 doi: 10.1109 / MWC. 2009. 4804368.
[11] Filippini I, E. Ekici, and M. Cesana, “Minimum Maintenance Cost Routing in Cognitive Radio Networks,” Proc. IEEE Sixth Int’l Conf. Mobile Adhoc and Sensor Systems (MASS), 2009.
[12] Khaled Ben Letaiefm and Wei Zhang, “Cooperative Communications for Cognitive Radio Networks” Proceedings of the IEEE | Vol. 97, No. 5, May 2009 doi: 10.1109/SURV.2014.021414.00066
[13] G. Cheng, W. Liu, Y. Li, and W. Cheng, “Spectrum Aware OnDemand Routing in Cognitive Radio Networks,” Proc. IEEE Second Int’l Symp. New Frontiers in Dynamic Spectrum Access Networks (DySPAN), 2007.
[14] G. Cheng, W. Liu, Y. Li, and W. Cheng, “Joint On-Demand Routing and Spectrum Assignment in Cognitive Radio Networks,” Proc. IEEE Comm. Int’l Conf. (ICC), 2007.
[15] S. Mangold, A. Jarosch, and C. Monney, "Cognitive Radio - Trends and Research Challenges," Swisscom Comtec Magazine 03/2005, pp. 6-9, July 2005.

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Published

2017-01-18

How to Cite

P.D, R., & Sophia, S. (2017). Efficient Scheduling and Collision Reduction in Hybrid Cognitive Radio Network using SBP. JOURNAL OF ADVANCES IN CHEMISTRY, 13(4), 6101–6107. https://doi.org/10.24297/jac.v13i1.6713

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Articles