Table of Contents Author Guidelines Submit a Manuscript
Journal of Computer Networks and Communications
Volume 2019, Article ID 4573619, 13 pages
https://doi.org/10.1155/2019/4573619
Research Article

Coalitional Game Theoretical Approach for VANET Clustering to Improve SNR

Department of Electrical Engineering and Information Technology, Faculty of Engineering, Universitas Gadjah Mada, Yogyakarta, Indonesia

Correspondence should be addressed to Selo Sulistyo; di.ca.mgu@oles

Received 23 January 2019; Revised 16 April 2019; Accepted 5 May 2019; Published 17 July 2019

Academic Editor: Youyun Xu

Copyright © 2019 Selo Sulistyo 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. H. Hartenstein and K. P. Laberteaux, “A tutorial survey on vehicular ad hoc networks,” IEEE Communications Magazine, vol. 46, no. 6, pp. 164–171, 2008. View at Publisher · View at Google Scholar · View at Scopus
  2. N. Wisitpongphan, F. Bai, P. Mudalige, V. Sadekar, and O. Tonguz, “Routing in sparse vehicular ad hoc wireless networks,” IEEE Journal on Selected Areas in Communications, vol. 25, no. 8, pp. 1538–1556, 2007. View at Publisher · View at Google Scholar · View at Scopus
  3. N. Wisitpongphan, O. K. Tonguz, J. S. Parikh, P. Mudalige, F. Bai, and V. Sadekar, “Broadcast storm mitigation techniques in vehicular ad hoc networks,” IEEE Wireless Communications, vol. 14, no. 6, pp. 84–94, 2007. View at Publisher · View at Google Scholar · View at Scopus
  4. R. S. Bali, N. Kumar, and J. J. P. C. Rodrigues, “Clustering in vehicular ad hoc networks: taxonomy, challenges and solutions,” Vehicular Communications, vol. 1, no. 3, pp. 134–152, 2014. View at Publisher · View at Google Scholar · View at Scopus
  5. W. Saad, Z. Han, M. Debbah, A. Hjorungnes, and T. Basar, “Coalitional game theory for communication networks,” IEEE Signal Processing Magazine, vol. 26, no. 5, pp. 77–97, 2009. View at Publisher · View at Google Scholar · View at Scopus
  6. M. Ren, L. Khoukhi, H. Labiod, J. Zhang, and V. Vèque, “A mobility-based scheme for dynamic clustering in vehicular ad-hoc networks (VANETs),” Vehicular Communications, vol. 9, pp. 233–241, 2017. View at Publisher · View at Google Scholar · View at Scopus
  7. C. R. Lin and M. Gerla, “Adaptive clustering for mobile wireless networks,” IEEE Journal on Selected Areas in Communications, vol. 15, no. 7, pp. 1265–1275, 1997. View at Publisher · View at Google Scholar · View at Scopus
  8. S. Kuklinski and G. Wolny, “Density based clustering algorithm for VANETs,” in Proceedings of the 5th International Conference on Testbeds and Research Infrastructures for the Development of Networks & Communities and Workshops, pp. 1–6, Washington, DC, USA, April 2009.
  9. W. Li, A. Tizghadam, and A. Leon-garcia, “Robust clustering for connected vehicles using local network criticality,” in Proceedings of the 2012 IEEE International Conference on Communications (ICC), pp. 7157–7161, Ottawa, Canada, June 2012.
  10. A. Ahizoune and A. Hafid, “A new stability based clustering algorithm (SBCA) for VANETs,” in Proceedings of the 37th Annual IEEE Conference on Local Computer Networks—Workshops (LCN Work), pp. 843–847, Clearwater Beach, FL, USA, October 2012.
  11. I. Tal and G. Muntean, “User-oriented fuzzy logic-based clustering scheme for vehicular ad-hoc networks,” in Proceedings of the 2013 IEEE 77th Vehicular Technology Conference (VTC Spring), pp. 2–6, Dresden, Germany, June 2013.
  12. X. Duan, Y. Liu, and X. Wang, “SDN enabled 5G-VANET: adaptive vehicle clustering and beamformed transmission for aggregated traffic,” IEEE Communications Magazine, vol. 55, no. 7, pp. 120–127, 2017. View at Publisher · View at Google Scholar · View at Scopus
  13. B. Jinila and Komathy, “Rough set based fuzzy scheme for clustering and cluster head selection in VANET,” Elektronika Ir Elektrotechnika, vol. 21, no. 1, pp. 54–59, 2015. View at Publisher · View at Google Scholar · View at Scopus
  14. E. Dror, C. Avin, and Z. Lotker, “Fast randomized algorithm for hierarchical clustering in vehicular ad-hoc networks,” in Proceedings of the 2011 10th IFIP Annual Mediterranean Ad Hoc Networking Workshop, pp. 1–8, Sicily, Italy, June 2011.
  15. Y. Chen, M. Fang, S. Shi, W. Guo, and X. Zheng, “Distributed multi-hop clustering algorithm for VANETs based on neighborhood follow,” EURASIP Journal on Wireless Communications and Networking, vol. 2015, no. 1, pp. 1–12, 2015. View at Publisher · View at Google Scholar · View at Scopus
  16. S. Ucar, S. C. Ergen, and O. Ozkasap, “Multihop-cluster-based IEEE 802.11p and LTE hybrid architecture for VANET safety message dissemination,” IEEE Transactions on Vehicular Technology, vol. 65, no. 4, pp. 2621–2636, 2016. View at Publisher · View at Google Scholar · View at Scopus
  17. X. Tang, H. Sun, L. Sun, C. Tan, and G. Xu, “Game theoretical approach for ad dissemination in cluster based VANETs,” in Proceedings of the 2013 IEEE International Conference on Signal Processing, Communication and Computing (ICSPCC 2013), pp. 1–6, Kunming, China, August 2013.
  18. S. Shivshankar and A. Jamalipour, “An evolutionary game theory-based approach to cooperation in VANETs under different network conditions,” IEEE Transactions on Vehicular Technology, vol. 64, no. 5, pp. 2015–2022, 2015. View at Publisher · View at Google Scholar · View at Scopus
  19. S. Sulistyo and S. Alam, “Distributed channel and power level selection in VANET based on SINR using game model,” International Journal of Communication Networks and Information Security (IJCNIS), vol. 9, no. 3, pp. 432–438, 2017. View at Google Scholar
  20. T. Zhou, Y. Chen, and K. J. R. Liu, “Network formation games in cooperative MIMO interference systems,” IEEE Transactions on Wireless Communications, vol. 13, no. 2, pp. 1140–1152, 2014. View at Publisher · View at Google Scholar · View at Scopus
  21. H.-Q. Lai, Y. Chen, and K. J. R. Liu, “Energy efficient cooperative communications using coalition formation games,” Computer Networks, vol. 58, pp. 228–238, 2014. View at Publisher · View at Google Scholar · View at Scopus
  22. R. Massin, C. J. Le Martret, and P. Ciblat, “A coalition formation game for distributed node clustering in mobile ad hoc networks,” IEEE Transactions on Wireless Communications, vol. 16, no. 6, pp. 3940–3952, 2017. View at Publisher · View at Google Scholar · View at Scopus
  23. C. Jiang, Y. Chen, and K. J. R. Liu, “Data-driven optimal throughput analysis for route selection in cognitive vehicular networks,” IEEE Journal on Selected Areas in Communications, vol. 32, no. 11, pp. 2149–2162, 2014. View at Publisher · View at Google Scholar · View at Scopus
  24. G. Maps, Jl. Tol Tanjungmas-Srondol, https://www.google.com/maps/place/Jl.+Tol+Tanjungmas-Srondol,+Sawah+Besar,+Gayamsari,+Kota+Semarang,+Jawa+Tengah+50163/@-6.9975316,110.4328032,13.5z/data=!4m5!3m4!1s0x2e70f3355f88d1430x1c3760724e0a9890!8m2!3d-6.9730197!4d110.4500701.
  25. D. Krajzewicz, J. Erdmann, M. Behrisch, and L. Bieker, “Recent development and applications of SUMO—simulation of urban mobility,” International Journal on Advances in Systems and Measurements, vol. 5, no. 3, pp. 128–138, 2012. View at Google Scholar
  26. D. Krajzewicz, M. Bonert, and P. Wagner, “The open source traffic simulation package SUMO traffic management projects,” in Proceedings of the Robotics and Automation, pp. 371–380, Orlando, FL, USA, May 2006, https://elib.dlr.de/46740/1/RoboCup2006_dkrajzew_SUMO.pdf.
  27. H. Fernandez, L. Rubio, V. M. Rodrigo-Penarrocha, and J. Reig, “Path loss characterization for vehicular communications at 700 MHz and 5.9 GHz under LOS and NLOS conditions,” IEEE Antennas and Wireless Propagation Letters, vol. 13, pp. 931–934, 2014. View at Publisher · View at Google Scholar · View at Scopus
  28. C. Cooper, D. Franklin, M. Ros, F. Safaei, and M. Abolhasan, “A comparative survey of VANET clustering techniques,” IEEE Communications Surveys & Tutorials, vol. 19, no. 1, pp. 657–681, 2017. View at Publisher · View at Google Scholar · View at Scopus