A Collision Rate-Based Backoff Algorithm for Contention-Based Wireless Networks

Cheng Han Lin, Yu Chin Tsai, Yu Hang Wei, Ce Kuen Shieh

研究成果: Conference contribution

2 引文 斯高帕斯(Scopus)

摘要

Following the rapid development of wireless networks, IEEE 802.11 technology has become the most widely used wireless network access technology. The contention channel of the distributed coordination function (DCF) is the default mechanism, which is used to determine the waiting time required before sending data. Once any collision has happened, the contention window expands to prevent future collisions, whereas when data has been successfully transmitted, the contention window shrinks to reduce backoff time. Determination of the increase or decrease of contention windows has become a vital to the transmission performance of networks. Through experimentation with different numbers of stations and different contention window sizes, this study found a collision rate range with superior efficiency, and thus proposed a collision rate-based backoff algorithm (CRBA). The proposed algorithm adjusts the contention window size according to collision rate, achieving enhanced efficiency and a reduced collision rate. According to the analysis of experimental results, the CRBA outperformed other relevant channel contention mechanisms (BEB, EIED, LILD, and ELBA) in terms of throughput, collision rate, and channel utilization rate.

原文English
主出版物標題2018 3rd International Conference on Computer and Communication Systems, ICCCS 2018
發行者Institute of Electrical and Electronics Engineers Inc.
頁面109-112
頁數4
ISBN(列印)9781538663509
DOIs
出版狀態Published - 2018 9月 11
事件3rd International Conference on Computer and Communication Systems, ICCCS 2018 - Nagoya, Japan
持續時間: 2018 4月 272018 4月 30

出版系列

名字2018 3rd International Conference on Computer and Communication Systems, ICCCS 2018

Other

Other3rd International Conference on Computer and Communication Systems, ICCCS 2018
國家/地區Japan
城市Nagoya
期間18-04-2718-04-30

All Science Journal Classification (ASJC) codes

  • 電腦網路與通信
  • 電腦視覺和模式識別
  • 硬體和架構
  • 人工智慧

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