A Novel Markov Chain Model to Derive the Expected Contention Window Size and Backoff Counter for IEEE 802.11 WLAN Nodes

Author(s):  
Yi-Hua Zhu ◽  
Chaoran Zhu ◽  
Xianzhong Tian
2014 ◽  
Vol 931-932 ◽  
pp. 952-956
Author(s):  
Jesada Sartthong ◽  
Suvepon Sittichivapak ◽  
Nitthita Chirdchoo

This paper proposes the several contention window adjustment schemes in backoff process as well-known backoff algorithm (BA) for improving the performance of wireless local area network (WLAN). In addition, this research introduces a new unsaturated discrete Markov chain model in fixed backoff stages and fixed contention window sizes technique (FBFC). The proposed contention window adjustment schemes are designed by applying the moment generating function concept in random variable and process theorem. Unsaturated throughput parameters are used to compare the performance of all contention window size adjustment techniques based on IEEE802.11b WLAN standards. The comparison results show that Bernoulli and Double adjustment schemes are good contention window size adjustments at light traffic load, and the Even contention window size adjustment operates well at high traffic load condition.


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