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Interference Aware Routing Game for Cognitive Radio Ad-hoc Networks

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Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Cognitive radio is a new communication paradigm that is able to solve the problem of spectrum scarcity in wireless networks. In this paper, interference aware routing game, (IRG), is proposed that connects the flow initiators to the destinations. A network formation game among secondary users (SUs) is formulated in which each secondary user aims to maximize its utility, while it reduces the aggregate interference on the primary users (PUs) and the end-to-end delay. In order to reduce the end-to-end delay and the accumulated interference, the IRG algorithm selects upstream neighbors in a view point of the sender. To model the interference between SUs, IRG uses the signal-to-interference-plus noise (SINR) model. The effectiveness of the proposed algorithm is validated by evaluating the aggregate interference from SUs to the PUs and end-to-end delay. A comprehensive numerical evaluation is performed, which shows that the performance of the proposed algorithm is significantly better than the Interference Aware Routing (IAR) using network formation game in cognitive radio mesh networks.
Rocznik
Tom
Strony
55--63
Opis fizyczny
Bibliogr. 24 poz., rys., tab.
Twórcy
  • Department of Electrical Engineering, Yazd University, Daneshgah Blvd. 89195-741 Yazd, Iran
autor
  • Department of Electrical Engineering, Yazd University, Daneshgah Blvd. 89195-741 Yazd, Iran
autor
  • Department of Electrical Engineering, Yazd University, Daneshgah Blvd. 89195-741 Yazd, Iran
Bibliografia
  • [1] S. Haykin, Cognitive dynamic systems: perception-action cycle, radar and radio. Cambridge: Cambridge University Press, 2012 (ISBN: 978-0521114363).
  • [2] C. Cormio and K. R. Chowdhury, „A survey on MAC protocols for cognitive radio networks", Ad Hoc Networks, vol. 7, no. 7, pp. 1315-1329, 2009 (doi: 10.1016/j.adhoc.2009.01.002).
  • [3] K. B. Letaief and W. Zhang, „Cooperative communications for cognitive radio networks", Proceedings of the IEEE, vol. 97, no. 5, pp. 878-893, 2009 (doi: 10.1109/JPROC.2009.2015716).
  • [4] Z. Li, F. R. Yu, and M. Huang, „A distributed consensus-based cooperative spectrum-sensing scheme in cognitive radios", IEEE Trans. on Vehic. Technol., vol. 59, no. 1, pp. 383-393, 2010 (doi: 10.1109/TVT.2009.2031181).
  • [5] K. R. Chowdhury and I. F. Akyildiz, „CRP: A routing protocol for cognitive radio ad hoc networks", IEEE J. on Selec. Areas in Commun., vol. 29, no. 4, pp. 794-804, 2011 (doi: 10.1109/JSAC.2011.110411).
  • [6] G.-M. Zhu, I. F. Akyildiz, and G.-S. Kuo, „STOD-RP: A spectrumtree based on-demand routing protocol for multi-hop cognitive radio networks", in Proc. IEEE GLOBECOM Telecommun. Conf., pp. 1-5, New Orleans, LA, USA, 2008 (doi: 10.1109/GLOCOM.2008.ECP.592).
  • [7] M. Caleff, I. F. Akyildiz, and L. Paura, „OPERA: Optimal routing metric for cognitive radio ad hoc networks", IEEE Trans. on Wireless Commun., vol. 11, no. 8, pp. 2884-2894, 2012 (doi: 10.1109/TWC.2012.061912.111479).
  • [8] K. R. Chowdhury and M. Felice, „Search: A routing protocol for mobile cognitive radio ad-hoc networks", Comp. Commun., vol. 32, no. 18, pp. 1983-1997, 2009 (doi: 10.1016/j.comcom.2009.06.011).
  • [9] M. Xie, W. Zhang, and K.-K. Wong, „A geometric approach to improve spectrum efficiency for cognitive relay networks", IEEE Trans. on Wireless Commun., vol. 9, no. 1, pp. 268-281, 2010 (doi: 10.1109/TWC.2010.01.090180).
  • [10] H. A. Al-Rawi and K.-L. A. Yau, „Routing in distributed cognitive radio networks: A survey", Wireless Person. Commun., vol. 69, no. 4, pp. 1983-2020, 2013 (doi: 10.1007/s11277-012-0674-7).
  • [11] Q. Liang, X. Wang, X. Tian, F. Wu, and Q. Zhang, „Two-dimensional route switching in cognitive radio networks: A gametheoretical framework", IEEE/ACM Trans. on Netw. TON, vol. 23, no. 4, pp. 1053-1066, 2015 (doi: 10.1109/TNET.2014.2315194).
  • [12] Y. Liu, L. X. Cai, and X. S. Shen, „Spectrum-aware opportunistic routing in multi-hop cognitive radio networks", IEEE J. on Selec. Areas in Commun., vol. 30, no. 10, pp. 1958-1968, 2012 (doi: 10.1109/JSAC.2012.121111).
  • [13] A. Abbagnale and F. Cuomo, „Gymkhana: a connectivity-based routing scheme for cognitive radio ad hoc networks", in Proc. IEEE INFOCOM Conf. on Comp. Commun. Workshops, pp. 1-5, San Diego, CA, USA, 2010 (doi: 10.1109/INFCOMW.2010.5466618).
  • [14] Z. Yuan, J. B. Song, and Z. Han, „Interference aware routing using network formation game in cognitive radio mesh networks", IEEE J. on Selec. Areas in Commun., vol. 31, no. 11, pp. 2494-2503, 2013 (doi: 10.1109/JSAC.2013.131107).
  • [15] Q. Zhu, Z. Yuan, J. B. Song, Z. Han, and T. Basar, „Interference aware routing game for cognitive radio multi-hop networks", IEEE J. on Selec. Areas in Comm., vol. 30, no. 10, pp. 2006-2015, 2012 (doi: 10.1109/JSAC.2012.121115).
  • [16] C.-F. Shih, W. Liao, and H.-L. Chao, „Joint routing and spectrum allocation for multi-hop cognitive radio networks with route robustness consideration", IEEE Trans. on Wireless Commun., vol. 10, no. 9, pp. 2940-2949, 2011 (doi: 10.1109/TWC.2011.072011.101249).
  • [17] S. Kamruzzaman, E. Kim, D. G. Jeong, and W. S. Jeon, „Energyaware routing protocol for cognitive radio ad hoc networks", IET Commun., vol. 6, no. 14, pp. 2159-2168, 2012 (doi: 10.1049/iet-com.2011.0698).
  • [18] T. C. Clancy, „Achievable capacity under the interference temperature model", in Proc. IEEE INFOCOM Int. Conf. on Comp. Commun., pp. 794-802, Anchorage, AL, USA, 2007 (doi: 10.1109/INFCOM.2007.98).
  • [19] S. Touati, H. Boujemaa, and N. Abed, „Outage probability analysis of optimal and suboptimal interference aware routing protocols for multihop underlay cognitive radio networks", Trans. on Emerg. Telecommun. Technol., vol. 25, no. 7, pp. 736-744, 2014 (doi: 10.1109/INFCOM.2007.98).
  • [20] S. A. Doomari, G. Mirjalily, and J. Abouei, „Distributed game theory-based routing protocol for Cognitive Radio ad hoc networks", in Proc. Int. Joint Conf. on Comp. Sc. and Softw. Engin. JCSSE, Hatyai, Thailand, 2015, pp. 201-206 (doi: 10.1109/JCSSE.2015.7219796).
  • [21] C. E. Shannon, „A mathematical theory of communication", ACM SIGMOBILE Mob. Comp. and Commun. Rev., vol. 5, no. 1, pp. 3-55, 2001 (doi: 10.1145/584091.584093).
  • [22] W. Saad, Z. Han, T. Basar, M. Debbah, and A. Hjorungnes, „Network formation games among relay stations in next generation wireless networks", IEEE Trans. on Commun., vol. 59, no. 9, pp. 2528-2542, 2011 (doi: 10.1109/TCOMM.2011.062311.100046).
  • [23] J. Coimbra, G. Schutz, and N. Correia, „Energy efficient routing algorithm for fiber-wireless access networks: A network formation game approach", Comp. Netw., vol. 60, pp. 201-216, 2014 (doi: 10.1016/j.bjp.2013.11.014).
  • [24] H. Khanmirza and N. Yazdani, „Strategic network formation game for energy consumption balancing", Wireless Person. Commun., vol. 84, no. 2, pp. 841-865, 2015 (doi: 10.1007/s11277-015-2664-z).
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-7f8a483e-dc52-440c-9ad7-d9e4d18721c0
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