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A Performance based Routing Classification in Cognitive Radio Networks

by Sunita S. Barve, Parag Kulkarni
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 44 - Number 19
Year of Publication: 2012
Authors: Sunita S. Barve, Parag Kulkarni
10.5120/6370-8762

Sunita S. Barve, Parag Kulkarni . A Performance based Routing Classification in Cognitive Radio Networks. International Journal of Computer Applications. 44, 19 ( April 2012), 11-21. DOI=10.5120/6370-8762

@article{ 10.5120/6370-8762,
author = { Sunita S. Barve, Parag Kulkarni },
title = { A Performance based Routing Classification in Cognitive Radio Networks },
journal = { International Journal of Computer Applications },
issue_date = { April 2012 },
volume = { 44 },
number = { 19 },
month = { April },
year = { 2012 },
issn = { 0975-8887 },
pages = { 11-21 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume44/number19/6370-8762/ },
doi = { 10.5120/6370-8762 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:35:58.661040+05:30
%A Sunita S. Barve
%A Parag Kulkarni
%T A Performance based Routing Classification in Cognitive Radio Networks
%J International Journal of Computer Applications
%@ 0975-8887
%V 44
%N 19
%P 11-21
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Cognitive Radio Networks (CRN) is offering tremendous performance and operational benefit by providing high bandwidth to mobile users via dynamic spectrum access techniques. In this paper, we address the problem of routing in CRN which concerns about identification and maintenance of the optimal path from source to destination through intermediate relay nodes and spectrum on each link using available common channels. In this survey, the characteristics features and limiting factors of existing routing protocols are thoroughly investigated with its performance evaluation criteria's. First, the overview of the routing with its unique challenges is given under the restriction of interference and fairness to increase overall network throughput. Next, a detailed classification of the routing strategies is given according to performance evaluation matrices which are considered according to specific demand and requirements of network users. A representative selection of these strategies is discussed in detail in this paper together with services given to unique challenges of CRN. Important issues and future directions are also discussed, while highlighting the need of close coupling between interaction of network users and dynamic decision theories

References
  1. Mitola, J. , III; Maguire, G. Q. , Jr. ; , "Cognitive radio: making software radios more personal," Personal Communications, IEEE , vol. 6, no. 4, pp. 13-18, Aug 1999 doi: 10. 1109/98. 788210.
  2. Ian F. Akyildiz, Won-Yeon Lee, Mehmet C. Vuran and Shantidev Mohanty, Next generation/dynamic spectrum access/cognitive radio wireless networks: A survey, International Journal on Computer Networks (Elsevier), Vol. 50, 2006, pp. 2127-2159.
  3. Matteo Cesana, Francesca Cuomo and Eylem Ekici, Routing in cognitive radio networks: Challenges and solutions, International Journal on Ad Hoc Networks (Elsevier), Vol. 9, Issue 3, May, 2011, pp. 228-248
  4. Cormio C, K. R. Chowdhury, A survey on MAC protocols for cognitive radio networks, Ad Hoc Networks 7 (7) (2009) 1315–1329, doi:10. 1016/j. adhoc. 2009. 01. 002.
  5. Jian Tang; Hincapie, R. ; Guoliang Xue; Weiyi Zhang; Bustamante, R. ; , "Fair Bandwidth Allocation in Wireless Mesh Networks With Cognitive Radios," Vehicular Technology, IEEE Transactions on , vol. 59, no. 3, pp. 1487-1496, March 2010,doi: 10. 1109/TVT. 2009. 2038478
  6. Long Zhang; Xianwei Zhou; Huayi Wu; , "A rough set comprehensive performance evaluation approach for routing protocols in cognitive radio networks," Global Mobile Congress 2009 , vol. , no. , pp. 1-5, 12-14 Oct. 2009 doi: 10. 1109/GMC. 2009. 5295841
  7. Sharma, M. ; Sahoo, A. ; Nayak, K. D. ; , "Channel Selection Under Interference Temperature Model in Multi-Hop Cognitive Mesh Networks," New Frontiers in Dynamic Spectrum Access Networks, 2007. DySPAN 2007. 2nd IEEE International Symposium on , vol. , no. , pp. 133-136, 17-20 April 2007,doi: 10. 1109/DYSPAN. 2007. 25.
  8. I. Pefkianakis, S. Wong, S. Lu, SAMER: spectrum aware mesh routing in cognitive radio networks, in: 3rd IEEE Symposium on New Frontiers in Dynamic Spectrum Access Networks, DySPAN 2008, 2008, pp. 1–5, doi: 10. 1109/DYSPAN. 2008. 90.
  9. Jiao Wang; Yuqing Huang; , "A cross-layer design of channel assignment and routing in Cognitive Radio Networks," Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on , vol. 7, no. , pp. 542-547, 9-11 July 2010 doi: 10. 1109/ICCSIT. 2010. 5564800.
  10. Quansheng Guan; Yu, F. R. ; Shengming Jiang; Gang Wei; , "Prediction-Based Topology Control and Routing in Cognitive Radio Mobile Ad Hoc Networks," Vehicular Technology, IEEE Transactions on , vol. 59, no. 9, pp. 4443-4452, Nov. 2010,doi: 10. 1109/TVT. 2010. 2069105
  11. Zeeshan, M. ; Manzoor, M. F. ; Qadir, J. ; , "Backup channel and cooperative channel switching on-demand routing protocol for multi-hop cognitive radio ad hoc networks (BCCCS)," Emerging Technologies (ICET), 2010 6th International Conference on , vol. , no. , pp. 394-399, 18-19 Oct. 2010,doi: 10. 1109/ICET. 2010. 5638455
  12. Marco Di Felice, Kaushik Roy Chowdhury, Wooseong Kim Andreas Kassler and Luciano Bononi, End-to-end protocol for cognitive Radio Ad Hoc Networks: An evaluation study, International Journal on Performance evaluation (Elsevier), Article in Press, November 2010.
  13. Kiam Cheng How, Maode Ma and Yang Qin, Routing and QoS provisioning in cognitive radio networks, International Journal on Computer Network (Elsevier), Vol. 55, Issue 1, January 2011. pp 330-342.
  14. Bing Xia; Wahab, M. H. ; Yang Yang; Zhong Fan; Sooriyabandara, M. ; , "Reinforcement learning based spectrum-aware routing in multi-hop cognitive radio networks," Cognitive Radio Oriented Wireless Networks and Communications, 2009. CROWNCOM '09. 4th International Conference on , vol. , no. , pp. 1-5, 22-24 June 2009, doi: 10. 1109/CROWNCOM. 2009. 5189189.
  15. L. Ding, T. Melodia, S. Batalama, M. J. Medley, Rosa: distributed joint routing and dynamic spectrum allocation in cognitive radio ad hoc networks, in: MSWiM '09: Proceedings of the 12th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems, 2009, pp. 13–20, doi: 10. 1145/ 1641804. 1641810.
  16. Lei D, Tommaso M, Stella N. B,J. D. Matyjas, and M. J. Medley, Cross-Layer Routing and Dynamic Spectrum Allocation in Cognitive Radio Ad Hoc Networks, IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, VOL. 59, NO. 4, MAY 2010 1969
  17. Chowdhury, K. R. ; Akyildiz, I. F. ; , "CRP: A Routing Protocol for Cognitive Radio Ad Hoc Networks," Selected Areas in Communications, IEEE Journal on , vol. 29, no. 4, pp. 794-804, April 2011, doi: 10. 1109/JSAC. 2011. 110411
  18. Xin-Lin Huang; Gang Wang; Fei Hu; Kumar, S. ; , "Stability-Capacity-Adaptive Routing for High-Mobility Multihop Cognitive Radio Networks," Vehicular Technology, IEEE Transactions on , vol. 60, no. 6, pp. 2714-2729, July 2011, doi: 10. 1109/TVT. 2011. 2153885
  19. Huisheng Ma; Lili Zheng; Xiao Ma; Yongjian luo; , "Spectrum Aware Routing for Multi-Hop Cognitive Radio Networks with a Single Transceiver," Cognitive Radio Oriented Wireless Networks and Communications, 2008. CrownCom 2008. 3rd International Conference on , vol. , no. , pp. 1-6, 15-17 May 2008, doi: 10. 1109/CROWNCOM. 2008. 4562509
  20. Juncheng Jia; Jin Zhang; Qian Zhang; , "Relay-Assisted Routing in Cognitive Radio Networks," Communications, 2009. ICC '09. IEEE International Conference on , vol. , no. , pp. 1-5, 14-18 June 2009, doi: 10. 1109/ICC. 2009. 5199406
  21. Min Xie; Wei Zhang; Kai-Kit Wong; , "A geometric approach to improve spectrum efficiency for cognitive relay networks," Wireless Communications, IEEE Transactions on , vol. 9, no. 1, pp. 268-281, January 2010, doi: 10. 1109/TWC. 2010. 01. 090180.
  22. Talay, A. C. ; Altilar, D. T. ; , "ROPCORN: Routing protocol for cognitive radio ad hoc networks," Ultra Modern Telecommunications & Workshops, 2009. ICUMT '09. International Conference on , vol. , no. , pp. 1-6, 12-14 Oct. 2009, doi: 10. 1109/ICUMT. 2009. 5345349.
  23. Bowen Li; Dabai Li; Qi-hui Wu; Haiyuan Li; , "ASAR: Ant-based spectrum aware routing for cognitive radio networks," Wireless Communications & Signal Processing, 2009. WCSP 2009. International Conference on , vol. , no. , pp. 1-5, 13-15 Nov. 2009, doi: 10. 1109/WCSP. 2009. 5371704
  24. Khalife, H. ; Malouch, N. ; Fdida, S. ; , "Multihop cognitive radio networks: to route or not to route," Network, IEEE , vol. 23, no. 4, pp. 20-25, July-August 2009 doi: 10. 1109/MNET. 2009. 5191142.
  25. Nan Li; Lei Gong; Shaoqian Li; , "Price-based spectrum-allocation relay routing in cognitive radio networks," Information, Communications and Signal Processing, 2009. ICICS 2009. 7th International Conference on , vol. , no. , pp. 1-5, 8-10 Dec. 2009, doi: 10. 1109/ICICS. 2009. 5397471.
  26. Ba?doi, C. -I. ; Croitoru, V. ; Prasad, R. ; , "IPSAG: An IP Spectrum Aware Geographic Routing algorithm proposal for multi-hop Cognitive Radio networks," Communications (COMM), 2010 8th International Conference on , vol. , no. , pp. 491-496, 10-12 June 2010 doi: 10. 1109/ICCOMM. 2010. 5509020
  27. A. Abbagnale, F. Cuomo, Gymkhana: a connectivity-based routing scheme for cognitive radio ad hoc networks, in: IEEE Conference on Computer communications, INFOCOM 2010, pp. 1–5, doi:10. 1109/ INFCOMW. 2010. 5466618.
  28. Beibei Wang, Yongle Wu and K. J Ray Liu, Game theory for Cognitive Radio networks: an Overview, International Journal on Computer Network s (Elsevier), Vol. 54, Issue 14, October 2010, pp 2537-2561.
  29. Rajneesh Sharma and M. Gopal, Synergizing reinforcement learning and Game Theory-A new direction for control, International Journal Applied Soft Computing 10 (Elsevier), 2010, pp. 675-688.
  30. LIU Wei-bing and WANG Xian-jia, Dynamic Decision Model in Evolutionary Games Based on Reinforcement Learning, International Journal on System Engineering-Theory & Practice, Vol. 2, Issue 3, Feb 2009,pp 28-33 .
Index Terms

Computer Science
Information Sciences

Keywords

Wireless Network Routing Cognitive Radio Networks (crn) Multi-hop Networks Spectrum Utilization Dynamic Spectrum Utilization

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