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Modelling and Simulation in Engineering
Volume 2014, Article ID 406462, 12 pages
http://dx.doi.org/10.1155/2014/406462
Research Article

Achieving Fair Spectrum Allocation and Reduced Spectrum Handoff in Wireless Sensor Networks: Modeling via Biobjective Optimization

1Department of Computer Engineering, Catholic University of Pusan, Busan, Republic of Korea
2Department of Electronics and Telecommunications, Norwegian University of Science and Technology, Trondheim, Norway
3Rikshospitalet, Oslo University Hospital, Oslo, Norway
4School of Information Technology Engineering, Catholic University of Daegu, Gyeongsan, Gyeongbuk, Republic of Korea

Received 26 June 2014; Accepted 12 August 2014; Published 3 September 2014

Academic Editor: James J. Park

Copyright © 2014 Sang-Seon Byun 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. Q. Zhao and B. M. Sadler, “A survey of dynamic spectrum access,” IEEE Signal Processing Magazine, vol. 24, no. 3, pp. 79–89, 2007. View at Publisher · View at Google Scholar · View at Scopus
  2. S. Haykin, “Cognitive radio: brain-empowered wireless communications,” IEEE Journal on Selected Areas in Communications, vol. 23, no. 2, pp. 201–220, 2005. View at Publisher · View at Google Scholar · View at Scopus
  3. T. A. Weiss and F. K. Jondral, “Spectrum pooling: an innovative strategy for the enhancement of spectrum efficiency,” IEEE Communications Magazine, vol. 42, no. 3, pp. S8–S14, 2004. View at Publisher · View at Google Scholar · View at Scopus
  4. H. Tang, “Some physical layer issues of wide-band cognitive radio systems,” in Proceedings of the 1st IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks (DySPAN '05), pp. 151–159, Baltimore, Md, USA, November 2005. View at Publisher · View at Google Scholar · View at Scopus
  5. C. Shahabi, “Janus-multi source event detection and collection system for effective surveillance of criminal activity,” Journal of Information Processing Systems, vol. 10, no. 1, pp. 1–22, 2014. View at Google Scholar
  6. H. R. Lee, K. Y. Chung, and K. S. Jhang, “A study of wireless sensor network routing protocols for maintenance access hatch condition surveillance,” Journal of Information Processing Systems, vol. 9, no. 2, pp. 237–246, 2013. View at Publisher · View at Google Scholar · View at Scopus
  7. K. Hwang and S. Nam, “Near real-time M2M communication for bidirectional AMR systems,” Journal of Convergence, vol. 5, no. 2, 2014. View at Google Scholar
  8. I. F. Akyildiz, T. Melodia, and K. R. Chowdhury, “A survey on wireless multimedia sensor networks,” Computer Networks, vol. 51, no. 4, pp. 921–960, 2007. View at Publisher · View at Google Scholar · View at Scopus
  9. M. Pioro and D. Medhi, Routing, Flow, and Capacity Design in Communication and Computer Networks, Morgan Kaufmann, Boston, Mass, USA, 2004.
  10. J.-Y. le Boudec, Rate Adaptation, Congestion Control and Fairness: A Tutorial, Ecole Polytechnique Federale de Lausanne (EPFL), 2008.
  11. E. Coersmeier, K. Hueske, M. Hoffmann, F. Leder, P. Martini, and H. Bothe, “Combining cognitive radio and software radio approach for low complexity receiver architecture,” in Proceedings of the International Symposium on Advanced Radio Technologies, February 2007.
  12. I. F. Akyildiz, W. Lee, M. C. Vuran, and S. Mohanty, “NeXt generation/dynamic spectrum access/cognitive radio wireless networks: a survey,” Computer Networks, vol. 50, no. 13, pp. 2127–2159, 2006. View at Publisher · View at Google Scholar · View at Scopus
  13. D. Lu, X. Huang, W. Zhang, and J. Fan, “Interference-aware spectrum handover for cognitiveradio networks,” Wireless Communications and Mobile Computing, vol. 14, no. 11, pp. 1099–1112, 2014. View at Publisher · View at Google Scholar · View at Scopus
  14. H. Shokri-Ghadikolaei, F. Sheikholeslami, and M. Nasiri-Kenari, “Distributed multiuser sequential channel sensing schemes in multichannel cognitive radio networks,” IEEE Transactions on Wireless Communications, vol. 12, no. 5, pp. 2055–2067, 2013. View at Publisher · View at Google Scholar · View at Scopus
  15. I. Katzela and M. Naghshineh, “Channel assignment schemes for cellular mobile telecommunication systems: a comprehensive survey,” IEEE Personal Communications, vol. 3, no. 3, pp. 10–31, 1996. View at Publisher · View at Google Scholar · View at Scopus
  16. G. Eichfelder, Adaptive Scalarization Methods in Multiobjective Optimization, Springer, Berlin, Germany, 2008. View at Publisher · View at Google Scholar · View at MathSciNet
  17. B. R. Marks and G. P. Wright, “A general inner approximation algorithm for nonconvex mathematical programs,” Operations Research, vol. 26, no. 4, pp. 681–683, 1978. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at MathSciNet
  18. S. Gao, L. Qian, D. R. Vaman, and Q. Qu, “Energy efficient adaptive modulation in wireless cognitive radio sensor networks,” in Proceedings of the IEEE International Conference on Communications (ICC '07), pp. 3980–3986, June 2007. View at Publisher · View at Google Scholar · View at Scopus
  19. S. Geirhofer, L. Tong, and B. M. Sadler, “A measurement-based model for dynamic spectrum access in WLAN channels,” in Proceedings of the IEEE Military Communications Conference (MILCOM '06), pp. 1–7, IEEE, Washington, DC, USA, October 2006. View at Publisher · View at Google Scholar · View at Scopus
  20. Z. Han, Z. Ji, and K. J. R. Liu, “Fair multiuser channel allocation for OFDMA networks using Nash bargaining solutions and coalitions,” IEEE Transactions on Communications, vol. 53, no. 8, pp. 1366–1376, 2005. View at Publisher · View at Google Scholar · View at Scopus
  21. D. Thilakawardana, K. Moessner, and R. Tafazolli, “Darwinian approach for dynamic spectrum allocation in next generation systems,” IET Communications, vol. 2, no. 6, pp. 827–836, 2008. View at Publisher · View at Google Scholar · View at Scopus
  22. L. Cao and H. Zheng, “Stable and efficient spectrum access in next generation dynamic spectrum networks,” in Proceeding of the 27th IEEE Communications Society Conference on Computer Communications (INFOCOM '08), Phoenix, Ariz, USA, April 2008. View at Publisher · View at Google Scholar · View at Scopus
  23. A. Konak, D. W. Coit, and A. E. Smith, “Multi-objective optimization using genetic algorithms: a tutorial,” Reliability Engineering and System Safety, vol. 91, no. 9, pp. 992–1007, 2006. View at Publisher · View at Google Scholar · View at Scopus
  24. Y. Chen and J. Chen, “A fast subcarrier, bit, and power allocation algorithm for multiuser OFDM-based systems,” IEEE Transactions on Vehicular Technology, vol. 57, no. 2, pp. 873–881, 2008. View at Publisher · View at Google Scholar · View at Scopus
  25. A. T. Hoang and Y. Liang, “Downlink channel assignment and power control for cognitive radio networks,” IEEE Transactions on Wireless Communications, vol. 7, no. 8, pp. 3106–3117, 2008. View at Publisher · View at Google Scholar · View at Scopus
  26. J. Tang, S. Misra, and G. Xue, “Joint spectrum allocation and scheduling for fair spectrum sharing in cognitive radio wireless networks,” Computer Networks, vol. 52, no. 11, pp. 2148–2158, 2008. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at Scopus
  27. L. Le and E. Hossain, “Resource allocation for spectrum underlay in cognitive radio networks,” IEEE Transactions on Wireless Communications, vol. 7, no. 12, pp. 5306–5315, 2008. View at Publisher · View at Google Scholar · View at Scopus
  28. H. Boche and S. Stanczak, “Strict convexity of the feasible log-SIR region,” IEEE Transactions on Communications, vol. 56, no. 9, pp. 1511–1518, 2008. View at Publisher · View at Google Scholar · View at Scopus
  29. S. P. Algur and N. P. Kumar, “Novel user centric, game theory based bandwidth allocation mechanism in WiMAX,” Human-Centric Computing and Information Sciences, vol. 3, article 20, 2013. View at Publisher · View at Google Scholar
  30. U. Berthold and F. K. Jondral, “Guidelines for designing OFDM overlay systems,” in Proceedings of the 1st IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks (DySPAN '05), pp. 626–629, Baltimore, Md, USA, November 2005. View at Publisher · View at Google Scholar · View at Scopus
  31. M. Yoon, Y. Kim, and J. Chang, “An energy-efficient routing protocol using message success rate in wireless sensor networks,” Journal of Convergence, vol. 4, no. 1, pp. 15–22, 2013. View at Google Scholar
  32. N. Ehsan and R. L. Cruz, “On the optimal SINR in random access networks with spatial reuse,” in Proceedings of the 40th Annual Conference on Information Sciences and Systems (CISS '06), pp. 938–944, Princeton, NJ, USA, March 2006. View at Publisher · View at Google Scholar · View at Scopus
  33. S. Boyd and L. Vandenberghe, Convex Optimization, Cambridge University Press, Cambridge, UK, 2004. View at Publisher · View at Google Scholar · View at MathSciNet
  34. S. Boyd, S. Kim, and L. a. . Vandenberghe, “A tutorial on geometric programming,” Optimization and Engineering, vol. 8, no. 1, pp. 67–127, 2007. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  35. S. S. Rao and T. I. Freiheit, “Modified game theory approach to multiobjective optimization,” Journal of Mechanisms, Transmissions, and Automation in Design, vol. 113, no. 3, pp. 286–291, 1991. View at Google Scholar · View at Scopus
  36. A. Wächter and L. T. Biegler, “On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming,” Mathematical Programming, vol. 106, no. 1, pp. 25–57, 2006. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus