Table of Contents Author Guidelines Submit a Manuscript
Mobile Information Systems
Volume 2016, Article ID 3282505, 8 pages
http://dx.doi.org/10.1155/2016/3282505
Research Article

Spectrum Assignment Algorithm for Cognitive Machine-to-Machine Networks

1Department of Engineering Science, University of Greenwich, London, UK
2Department of Computer Science, University of Karbala, Karbala, Iraq
3School of Engineering and Informatics, University of Sussex, Brighton, UK
4Department of Electrical Engineering, Ajman University of Science & Technology, Ajman, UAE

Received 18 March 2016; Revised 15 June 2016; Accepted 10 July 2016

Academic Editor: Fernando Casadevall

Copyright © 2016 Soheil Rostami et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. R. Lu, X. Li, X. Liang, X. Shen, and X. Lin, “GRS: the green, reliability, and security of emerging machine to machine communications,” IEEE Communications Magazine, vol. 49, no. 4, pp. 28–35, 2011. View at Publisher · View at Google Scholar · View at Scopus
  2. “Cisco visual networking index: Global mobile data traffic forecast update 2014–2019 white paper,” 2015, http://www.cisco.com/c/en/us/solutions/collateral/service-provider/visual-networking-index-vni/mobile-white-paper-c11-520862.html.
  3. S. Rostami, K. Arshad, and K. Moessner, “Order-statistic based spectrum sensing for cognitive radio,” IEEE Communications Letters, vol. 16, no. 5, pp. 592–595, 2012. View at Publisher · View at Google Scholar · View at Scopus
  4. Y. Zhang, R. Yu, M. Nekovee, Y. Liu, S. Xie, and S. Gjessing, “Cognitive machine-to-machine communications: visions and potentials for the smart grid,” IEEE Network, vol. 26, no. 3, pp. 6–13, 2012. View at Publisher · View at Google Scholar · View at Scopus
  5. M. Wylie-Green, “Dynamic spectrum sensing by multiband OFDM radio for interference mitigation,” in Proceedings of the 1st IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks (DySPAN '05), pp. 619–625, IEEE, Baltimore, Md, USA, November 2005. View at Publisher · View at Google Scholar
  6. J. D. Poston and W. D. Horne, “Discontiguous OFDM considerations for dynamic spectrum access in idle TV channels,” in Proceedings of the 1st IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks (DySPAN '05), pp. 607–610, Baltimore, Md, USA, November 2005. View at Publisher · View at Google Scholar · View at Scopus
  7. R. Rajbanshi, A. M. Wyglinski, and G. J. Minden, “An efficient implementation of NC-OFDM transceivers for cognitive radios,” in Proceedings of the 1st International Conference on Cognitive Radio Oriented Wireless Networks and Communications (CROWNCOM '06), pp. 1–5, Mykonos Island, Greece, June 2006. View at Publisher · View at Google Scholar · View at Scopus
  8. 3GPP, “LTE; evolved universal terrestrial radio access (e-utra); physical layer procedures,” Tech. Rep. 3GPP TS 36.213 version 10.1.0 Release 10, 3GPP, 2010, http://www.3gpp.org. View at Google Scholar
  9. D. Chen, Q. Zhang, and W. Jia, “Aggregation aware spectrum assignment in cognitive ad-hoc networks,” in Proceedings of the 3rd International Conference on Cognitive Radio Oriented Wireless Networks and Communications (CrownCom '08), pp. 1–6, May 2008. View at Publisher · View at Google Scholar · View at Scopus
  10. F. Huang, W. Wang, H. Luo, G. Yu, and Z. Zhang, “Prediction-based Spectrum aggregation with hardware limitation in cognitive radio networks,” in Proceedings of the IEEE 71st Vehicular Technology Conference (VTC '10), pp. 1–5, May 2010. View at Publisher · View at Google Scholar · View at Scopus
  11. F. Ye, R. Yang, and Y. Li, “Genetic algorithm based spectrum assignment model in cognitive radio networks,” in Proceedings of the 2nd International Conference on Information Engineering and Computer Science (ICIECS '10), pp. 1–4, Wuhan, China, December 2010. View at Publisher · View at Google Scholar · View at Scopus
  12. Z. Zhao, Z. Peng, S. Zheng, and J. Shang, “Cognitive radio spectrum allocation using evolutionary algorithms,” IEEE Transactions on Wireless Communications, vol. 8, no. 9, pp. 4421–4425, 2009. View at Publisher · View at Google Scholar · View at Scopus
  13. K. Arshad, M. A. Imran, and K. Moessner, “Collaborative spectrum sensing optimisation algorithms for cognitive radio networks,” International Journal of Digital Multimedia Broadcasting, vol. 2010, Article ID 424036, 20 pages, 2010. View at Publisher · View at Google Scholar · View at Scopus
  14. Y. Li, L. Zhao, C. Wang, A. Daneshmand, and Q. Hu, “Aggregation-based spectrum allocation algorithm in cognitive radio networks,” in Proceedings of the IEEE Network Operations and Management Symposium (NOMS '12), pp. 506–509, IEEE, Maui, Hawaii, USA, April 2012. View at Publisher · View at Google Scholar · View at Scopus
  15. F. G. Lobo, D. E. Goldberg, and M. Pelikan, “Time complexity of genetic algorithms on exponentially scaled problems,” in Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00), pp. 151–158, Morgan-Kaufmann, 2000.