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Energy Efficient Spectrum Aware Channel Sensing Routing Protocol for Cognitive Radio Mobile Ad-Hoc Networks

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2017
Authors:
S. Chinnasamy, R. Vadivel
10.5120/ijca2017912649

S Chinnasamy and R Vadivel. Energy Efficient Spectrum Aware Channel Sensing Routing Protocol for Cognitive Radio Mobile Ad-Hoc Networks. International Journal of Computer Applications 157(3):31-36, January 2017. BibTeX

@article{10.5120/ijca2017912649,
	author = {S. Chinnasamy and R. Vadivel},
	title = {Energy Efficient Spectrum Aware Channel Sensing Routing Protocol for Cognitive Radio Mobile Ad-Hoc Networks},
	journal = {International Journal of Computer Applications},
	issue_date = {January 2017},
	volume = {157},
	number = {3},
	month = {Jan},
	year = {2017},
	issn = {0975-8887},
	pages = {31-36},
	numpages = {6},
	url = {http://www.ijcaonline.org/archives/volume157/number3/26813-2017912649},
	doi = {10.5120/ijca2017912649},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

A cognitive radio ad hoc network is the thrust research area in the field of wireless communications. This paper presents the network clustering scheme, the model and algorithm for the clustered cooperative channel sensing based on reinforcement learning. It is imperative to minimize energy cost for channel sensing so as to prolong lifetime of the network. Hence an algorithm for the cooperative channel sensing based on reinforcement learning is proposed. Performance metrics such as success rate, average broadcast delay are taken into account for comparison. Simulation results portrays that the proposed EESACSRP outperforms in terms of the chosen performance metrics.

References

  1. QB2IC: A QoS-Based Broadcast Protocol Under Blind Information for Multihop Cognitive Radio Ad Hoc Networks Yi Song, Member, , and Jiang Xie, Senior Member, IEEE transactions on vehicular Technology, vol. 63, no. 3, march 2014
  2. kyildiz IF, Lee WY, Chowdhury KR. Crahns: Cognitive radio ad hoc networks. AD hoc networks 2009a; 7(5):810–36.
  3. Akyildiz IF, Lee WY, Vuran MC, Mohanty S. Next generation/dynamic spectrum access/cognitive radio wireless networks: a survey. Computer networks 2006; 50(13):2127–59.
  4. Cesana M, Cuomo F, Ekici E. Routing in cognitive radio networks: Challenges and solutions. Ad Hoc Networks 2011; 9(3):228–48.
  5. Rahman M, et al. Cognitive Radio Ad-hoc Networks: A Routing Perspective, 2013.
  6. Yang Qina,∗, Xiaoxiong Zhonga,b, Yuanyuan Yangc, Li Lia, Fangshan Wua,Y. Qin et al., TCPJGNC: A transport control protocol based on network coding for multi-hop cognitive radio networks, Computer Communications (2016).
  7. On-demand routing protocols for cognitive radio ad hoc networks, Shelly Salim and Sangman Moh, EURASIP Journal on Wireless Communications and Networking (2013).

Keywords

Cognitive Radio Ad Hoc Network, Cluster Head, Quality of-Services, cognitive radio, multi-hop architectures