Adaptive Access Mechanism Based on Network State Detection in Multi-rate IEEE802.11 WLANs
This paper addresses the problem of channel access in multi-rates IEEE802.11 WLANs (Wireless Local Area Networks). Unlike some current solutions for performance anomaly only aiming to the saturated network, we propose a fine-grain channel access mechanism that takes the saturated and unsaturated network into account simultaneously. Meanwhile, we present a model to detect the network state under different network density. This novel framework can detect the network state by collision rate for the dynamic network scenarios and perform more efficient channel access by combining the legacy IEEE802.11 DCF (Distributed Coordination Function) and airtime fairness algorithm. The simulations show that our algorithm can improve the aggregate throughput and reduce the collision rate during channel access compared to the legacy DCF mechanism.
KeywordsWLANs Network state detection Performance anomaly Airtime fairness
This research is supported by the National Science Foundation of China (61602073) and Scientific and Technological Research Program of Chongqing Municipal Education Commission (KJ1400429).
- 1.Heusse, M., Rousseau, F., Bergersabbatel, G., Duda, A.: Performance anomaly of 802.11b. In: Joint Conference of the IEEE Computer and Communications, vol. 2(1), pp. 836–843(2015)Google Scholar
- 2.Tan, G., Guttag, J.V.: Time-based fairness improves performance in multi-rate WLANs. In: General Track: Usenix Technical Conference, vol. 12(2), pp. 269–282 (2004)Google Scholar
- 3.Dolińska, I., Jakubowski, M., Masiukiewicz, A., Szeszko, M.: Fairness calculation on the base of the station media access time in Wi-Fi networks. In: International Conference on Information and Digital Technologies. IEEE (2016)Google Scholar
- 4.Adnan, M., Park, E.C.: Hybrid control of contention window and frame aggregation for performance enhancement in multirate WLANs. Mob. Inf. Syst. 2015, 16 (2015)Google Scholar
- 7.Lei, J., Wu, Y., Zhang, X.: An improved active queue management algorithm for time fairness in multirate 802.11 WLAN. In: Computer Science On-line Conference (CSOC), pp. 161–171 (2017)Google Scholar
- 8.Ma, H., Roy, S.: Contention window and transmission opportunity adaptation for dense IEEE 802.11 WLAN based on loss differentiation. In: IEEE International Conference on Communications. IEEE (2008)Google Scholar
- 10.Huang, C., Shioda, S.: Detailed analysis for IEEE 802.11e EDCA in non-saturated conditions - Frame-transmission-cycle approach. In: International Symposium on Modeling & Optimization in Mobile, Ad Hoc & Wireless Networks (WiOpt), vol. 14(2), pp. 601–608 (2013)Google Scholar
- 11.Alkadeki, H., Wang, X., Odetayo, M.: Improving performance of IEEE 802.11 by a dynamic control backoff algorithm under unsaturated traffic loads. Int. J. Wirel. Mob. Networks (IJWMN) 7(6) (2016)Google Scholar
- 14.Jain, R., Chiu, D., Hawe, W.: A quantitative measure of fairness and discrimination for resource allocation in shared computer systems. Comput. Sci. (1998)Google Scholar