在IEEE 802.11ax高效无线局域网中增强CSMA/CA性能的自适应缩放后退(ASB)机制

N. Shahin, R. Ali, S. Kim, Young-Tak Kim
{"title":"在IEEE 802.11ax高效无线局域网中增强CSMA/CA性能的自适应缩放后退(ASB)机制","authors":"N. Shahin, R. Ali, S. Kim, Young-Tak Kim","doi":"10.1109/NOMS.2018.8406219","DOIUrl":null,"url":null,"abstract":"This paper proposes an adaptively scaled back-off (ASB) mechanism to mitigate the performance degradations in the Binary Exponential Back-off (BEB) of IEEE 802.11 CSMA/CA in the highly dense environment such as IEEE 802.11ax high efficiency WLAN (HEW). The proposed ASB mechanism selects the optimal CW size to achieve maximized network performance adaptively based on the measured conditional collision probability (pc) and the estimated number of contending stations. The ASB protocol can provide higher efficiency than the legacy Binary Exponential Back-off (BEB) that simply adjust the back-off contention window (CW) size by blind exponential increase at repeated collision avoidance and resetting to the minimum value (CWmin) at successful transmission. The performance analysis of the proposed ASB scheme with ns-3 network simulation shows that the proposed ASB scheme can achieve 21.14% higher throughput and take 32.45% less average interval between successful transmissions than the BEB mechanism in highly dense WLANs with saturated traffic environment.1","PeriodicalId":19331,"journal":{"name":"NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Adaptively scaled back-off (ASB) mechanism for enhanced performance of CSMA/CA in IEEE 802.11ax high efficiency WLAN\",\"authors\":\"N. Shahin, R. Ali, S. Kim, Young-Tak Kim\",\"doi\":\"10.1109/NOMS.2018.8406219\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes an adaptively scaled back-off (ASB) mechanism to mitigate the performance degradations in the Binary Exponential Back-off (BEB) of IEEE 802.11 CSMA/CA in the highly dense environment such as IEEE 802.11ax high efficiency WLAN (HEW). The proposed ASB mechanism selects the optimal CW size to achieve maximized network performance adaptively based on the measured conditional collision probability (pc) and the estimated number of contending stations. The ASB protocol can provide higher efficiency than the legacy Binary Exponential Back-off (BEB) that simply adjust the back-off contention window (CW) size by blind exponential increase at repeated collision avoidance and resetting to the minimum value (CWmin) at successful transmission. The performance analysis of the proposed ASB scheme with ns-3 network simulation shows that the proposed ASB scheme can achieve 21.14% higher throughput and take 32.45% less average interval between successful transmissions than the BEB mechanism in highly dense WLANs with saturated traffic environment.1\",\"PeriodicalId\":19331,\"journal\":{\"name\":\"NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-04-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NOMS.2018.8406219\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NOMS.2018.8406219","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8

摘要

针对ieee802.11 CSMA/CA在高密度环境(如ieee802.11 ax高效WLAN (HEW))下二进制指数回退(BEB)的性能下降问题,提出了一种自适应缩放回退(ASB)机制。提出的ASB机制基于实测的条件碰撞概率(pc)和估计的竞争站数,自适应地选择最优的CW大小,以实现最大的网络性能。与传统的二进制指数回退(BEB)协议相比,ASB协议可以提供更高的效率。传统的二进制指数回退(BEB)协议在重复避免碰撞时通过盲目指数增加来调整回退争夺窗口(CW)的大小,在成功传输时重置为最小值(CWmin)。通过ns-3网络仿真对所提出的ASB方案进行性能分析,结果表明,在饱和流量环境下的高密度无线局域网中,所提出的ASB方案比BEB机制的吞吐量提高21.14%,平均成功传输间隔缩短32.45%
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adaptively scaled back-off (ASB) mechanism for enhanced performance of CSMA/CA in IEEE 802.11ax high efficiency WLAN
This paper proposes an adaptively scaled back-off (ASB) mechanism to mitigate the performance degradations in the Binary Exponential Back-off (BEB) of IEEE 802.11 CSMA/CA in the highly dense environment such as IEEE 802.11ax high efficiency WLAN (HEW). The proposed ASB mechanism selects the optimal CW size to achieve maximized network performance adaptively based on the measured conditional collision probability (pc) and the estimated number of contending stations. The ASB protocol can provide higher efficiency than the legacy Binary Exponential Back-off (BEB) that simply adjust the back-off contention window (CW) size by blind exponential increase at repeated collision avoidance and resetting to the minimum value (CWmin) at successful transmission. The performance analysis of the proposed ASB scheme with ns-3 network simulation shows that the proposed ASB scheme can achieve 21.14% higher throughput and take 32.45% less average interval between successful transmissions than the BEB mechanism in highly dense WLANs with saturated traffic environment.1
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信