A Novel Reduced Sensing Time Routing Protocol in Cognitive Radio Networks
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To avoid interference with primary users’ transmission in cognitive radio networks, the secondary users must perform a periodic spectrum sensing. The secondary users may cooperate with each other for sensing, in order to enhance the accuracy and reduce the overall spectrum sensing time. Spectrum sensing is also needed in other cognitive radio functions, such as in routing. Specifically, a cognitive radio node will not be able to route a packet to another cognitive radio node except if the channel is available on both nodes, where channels availability is determined by sensing. In this paper, a novel cooperative spectrum sensing protocol in ad-hoc cognitive radio networks is proposed in order to enhance routing performance. This approach is called Reduced Sensing Time Routing Protocol, in which a multi-hop path is found from a source to a destination. The route is composed of the intermediate cognitive radio nodes and the channel to be used at each hop. During the route setup phase, each intermediate node along the investigated path may select a neighbor node to perform channel sensing on its behalf, and this saved sensing time can be utilized to prolong the transmission time. As a result, the total end-to-end delay over the selected route is reduced. Simulation results show about 10% reduction in the overall average end-to-end delay as compared to conventional approach which assumes no cooperation exists in sensing between cognitive radio nodes.
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F.C. Commission, Technical report Spectrum policy task force, November 2002.
J. Mitola, Cognitive radio for flexible mobile multimedia communications, IEEE International Workshop in Mobile Multimedia Communications, (MoMuC'99), pp. 3-10, 1999.
X. DARPA, The XG Architectural Framework V1. 0. 0. Tech. rep., DARPA, 2003.
A. Ali, M. Iqbal, A. Baig, X. Wang, Routing techniques in cognitive radio networks: a survey, International Journal of Wireless & Mobile Networks, Volume 3, (Issue 3), 2011, pages 96-110.
Alnabelsi, S., Finding an Immuned Path Against Single Primary User Activity in Cognitive Radio Networks, (2017) International Journal on Communications Antenna and Propagation (IRECAP), 7 (7), pp. 562-571.
C. Cordeiro, K. Challapali, D. Birru, S. Shankar, IEEE 802.22: the first worldwide wireless standard based on cognitive radios. IEEE 1st International Symposium on New Frontiers in Dynamic Spectrum Access Networks (DySPAN), pp. 328-337, 2005.
I. Akyildiz, W. Lee, C. Vuran, S. Mohanty, A survey on spectrum management in cognitive radio networks, IEEE Communications magazine, Volume 46, Issue 4, 2008.
M. Mishra, A. Sahai, R. Brodersen, Cooperative sensing among cognitive radios, IEEE International conference in Communications (ICC), pp. 1658-1663, 2006.
R. Saifan, A. Kamal, Y. Guan, A cross-layer routing protocol (CLRP) for cognitive radio network. IEEE Global Communications Conference (GLOBECOM), pp. 896-901, 2013.
D. Soni, R. Dubey, N. Jain, S. Patil, A Survey on Cooperative Spectrum Sensing in Cognitive Radio Networks. International Journal of Digital Application & Contemporary research, Volume 7, (Issue 6), 2015.
M. Mirza, et al., CDCSS: cluster-based distributed cooperative spectrum sensing model against primary user emulation (PUE) cyber attacks. The Journal of Supercomputing, Volume 74, (Issue 10), 2018, pages 5082-5098.
Jia, M., Liu, X., Gu, X. and Guo, Q., (2017). Joint cooperative spectrum sensing and channel selection optimization for satellite communication systems based on cognitive radio. International Journal of Satellite Communications and Networking, Volume 35, (Issue 2), 2017, pages 139-150.
Idubor, S., Noma-Osaghae, E., Ogbeide, K., Okokpujie, K., A Step Towards Enhancing Spectrum Utilization by Implementing a Spectrum Sensing Cognitive Radio Using an RTL-SDR, (2018) International Journal on Communications Antenna and Propagation (IRECAP), 8 (5), pp. 439-447.
J. Unnikrishnan, V. Veeravalli, Cooperative sensing for primary detection in cognitive radio, IEEE Journal of selected topics in signal processing, Volume 2, (Issue 1), 2008, pages 18-27.
G. Ganesan, Y. Li, Cooperative spectrum sensing in cognitive radio, part I: Two user networks, IEEE Transactions on wireless communications, Volume 6, (Issue 6), 2007, pages 2204-2213.
Z. Quan, S. Cui, A. Sayed, Optimal linear cooperation for spectrum sensing in cognitive radio networks, IEEE Journal of selected topics in signal processing, Volume 2, (Issue 1), 2008, pages 28-40.
F. Lo, I. Akyildiz, Reinforcement learning-based cooperative sensing in cognitive radio ad hoc networks, IEEE 21st International Symposium on Personal Indoor and Mobile Radio Communications (PIMRC), pp. 2244-2249, 2010.
J. Ma, G. Zhao, Y. Li, Soft combination and detection for cooperative spectrum sensing in cognitive radio networks, IEEE Transactions on Wireless Communications, Volume 7, Issue 11, 2008, pages 4502-4507.
M. Gandetto, et al., A distributed approach to mode identification and spectrum monitoring for cognitive radios, In Proc. SDR Forum Technical Conference, 2005.
M. Mishra, A. Sahai, W. Brodersen, Cooperative sensing among cognitive radios, IEEE International conference on communications, (ICC), pp. 1658-1663, 2006.
W. Lee, et al., Deep Cooperative Sensing: Cooperative Spectrum Sensing Based on Convolutional Neural Networks, IEEE Transactions on Vehicular Technology, Volume 68, (Issue 3), 2019, pages 3005-3009.
R. Mustafa, R. Jaglan, S. Agrawal, Performance Evaluation of Cooperative Spectrum Sensing Over Fading Channels Based on Neural Network Learning Approach, 2nd International Conference on Communication, Computing and Networking, pp. 567-575, 2019.
Miao, J., Song, X., Wang, Z. and Wang, X.A., Improved Cooperative Spectrum Sensing Algorithm with Artificial Neural Network. In Conference on Complex, Intelligent, and Software Intensive Systems, pp. 639-649, 2018.
Garg, R., Saluja, N., Implementation of Particle Swarm Optimization Technique for Spectrum Sensing in Cognitive Radio Network, (2018) International Journal on Communications Antenna and Propagation (IRECAP), 8 (5), pp. 412-420.
Jhajj, H., Garg, R., Saluja, N., Efficient Spectrum Sensing in Cognitive Radio Networks Using Hybridized Particle Swarm Intelligence and Ant Colony Algorithm, (2017) International Journal on Communications Antenna and Propagation (IRECAP), 7 (7), pp. 586-593.
M. Youssef, et al., Routing Metrics of Cognitive Radio Networks: A Survey, IEEE Communications Surveys and Tutorials, Volume 16, (Issue 1), 2014, pages 92-109.
G. Cheng, W. Liu, Y. Li, W. Cheng, Spectrum aware on-demand routing in cognitive radio networks, In 2nd IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks (DySPAN), pp. 571-574, 2007.
Z. Yang, et al., Local coordination based routing and spectrum assignment in multi-hop cognitive radio networks, Mobile Networks and Applications, Volume 13, (Issue 1-2), 2008, pages 67-81.
A. Abbagnale, F. Cuomo, Gymkhana: a connectivity-based routing scheme for cognitive radio ad hoc networks, IEEE INFOCOM Conference on Computer Communications Workshops, pp. 1-5, 2010.
G. Zhu, et al., STOD-RP: A spectrum-tree based on-demand routing protocol for multi-hop cognitive radio networks, In IEEE Global Telecommunications Conference (GLOBECOM), pp. 1-5, 2008.
I. Pefkianakis, H. 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), pp. 1-5, 2008.
Y. Teng, H. Xu, C. Schober, M. Song, Cross-layer optimization and analysis for overlay cognitive radio. In IEEE Global Communications Conference (GLOBECOM), pp. 870-875, 2014.
Ramzi Saifan, Tahani Qaisi, Andraws Sweidan, Sharhabeel Alnabelsi, Khalid Darabkh, Ala’ Khalifeh, A Novel Reduced Sensing Time Routing Protocol in Cognitive Radio Networks, IEEE International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), March 2019.
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