Improving Performance of Wireless Mesh Networks Through User Association Method

  • G. Vijaya Kumar
  • C. Shoba Bindu
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 381)


IEEE 802.11-based wireless mesh networks (WMNs) are emerging as the promising technology to provide last-mile broadband Internet access. A WMN is composed of mesh clients (MCs) and mesh access points (MAPs). A mesh client has to associate with one of the MAPs in order to access the network. Since the client performance depends on the selected MAP, how to select a best MAP is an open research problem. The traditional association mechanism used in WLAN, is based on received signal strength (RSS) which received criticism in the literature as it does not consider many important factors such as access point load, channel conditions, medium contention, etc. This paper proposes a novel scheme of MAP selection in WMNs. The basic idea is to reduce the negative impact of low throughput clients over high throughput clients. The performance of our scheme is evaluated through simulations and we show that our scheme performs better than RSS-based association scheme.


IEEE 802.11 WMN MAP selection RSS association Performance anomaly 


  1. 1.
    Akyildiz, I.F., Wang, X.: A survey on wireless mesh networks. IEEE Commun. Mag. 43(9), 23–30 (2005)CrossRefGoogle Scholar
  2. 2.
    Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specification: IEEE Std. 802.11 (1997)Google Scholar
  3. 3.
    Papanikos, I., Logothetis, M.: A study on dynamic load balance for IEEE 802.11b wireless LAN. In: Proceedings of COMCON (2001)Google Scholar
  4. 4.
    Fukuda, Y., Abe, T., Oie, Y.: Decentralized access point selection architecture for wireless LANs. In: Wireless Telecommunications Symposium, pp. 137–145 (2004)Google Scholar
  5. 5.
    Velayos, H., Aleo, V., Karlsson, G.: Load balancing in overlapping wireless LAN cells. In: International Conference on IEEE Communications, pp. 3833–3836 (2004)Google Scholar
  6. 6.
    Vasudevan, S., Papagiannaki, K., Diot, C., Kurose, J., Towsley, D.: Facilitating access point selection in IEEE 802.11 wireless networks. In: Proceedings of the 5th ACM SIGCOMM Conference on Internet Measurement (2005)Google Scholar
  7. 7.
    Ghazisaeedi, E., Zokaei, S.: A Method for Access Point Selection in 802.11 Networks. NDT09, Ostrava, (2009)Google Scholar
  8. 8.
    Luo, L., Raychaudhuri, D., Liu, H., Wu, M., Li, D.: Improving end-to-end performance of wireless mesh networks through smart association. In: Wireless Communications and Networking Conference, pp. 2087–2092 (2008)Google Scholar
  9. 9.
    Pin, L., Yingwen, C., Wei, X., Ming, X.: A cross-layer scheme for access point selection in wireless mesh networks. In: 6th International Conference on Wireless Communications Networking and Mobile Computing (WiCOM), pp. 1–5 (2010)Google Scholar
  10. 10.
    Athanasiou, G., Thanasis, K., Ozgur, E., Leandros, T.: A cross-layer framework for association control in wireless mesh networks. IEEE Trans. Mob. Comput. 8(1), 65–80 (2009)CrossRefGoogle Scholar
  11. 11.
    Wang, H., Wong, W.-C., Soh, W.-S., Motani, M.: Dynamic association in IEEE 802.11 based wireless mesh networks. In: 6th International Symposium on Wireless Communication Systems, pp. 81–85 (2009)Google Scholar
  12. 12.
    Kumar, G.V., Shoba Bindu, C.: A study on access point selection algorithms in wireless mesh networks. Int. J. Adv. Netw. Appl. 6(1), 2158–2167 (2014)Google Scholar
  13. 13.
    Heusse, M., Rousseau, F., Berger-Sabbatel, G., Duda, A.: Performance anomaly of 802.11b. In: INFOCOM 22nd Annual Joint Conference of the IEEE Computer and Communications, pp. 836–843 (2003)Google Scholar
  14. 14.

Copyright information

© Springer India 2016

Authors and Affiliations

  1. 1.G Pulla Reddy Engineering CollegeKurnoolIndia
  2. 2.Jawaharlal Nehru Technological UniversityAnatapuramuIndia

Personalised recommendations