• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利：CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法，用中文像聊天一样搜索，搜遍4000万医学文献。AI智能推荐，让科研检索更轻松。

立即免费搜索

文件翻译

保留排版，准确专业，支持PDF/Word/PPT等文件格式，支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述，25分钟生成高质量综述，智能提取关键信息，辅助科研写作。

立即免费体验

吞吐量最优分布式协调功能（TO-DCF）的解析模型。

An analytic model for Throughput Optimal Distributed Coordination Function (TO-DCF).

作者信息

Fitzgerald Emma, Körner Ulf, Landfeldt Bjorn

机构信息

Department of Electrical and Information Technology, Lund University, 221 00, Lund, Sweden.

出版信息

Telecommun Syst. 2017;66(2):197-215. doi: 10.1007/s11235-017-0275-6. Epub 2017 Feb 3.

DOI:10.1007/s11235-017-0275-6
PMID:28932096
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5575083/
Abstract

TO-DCF, a new backoff scheme for 802.11, has the potential to significantly increase throughput in dense wireless LANs while also opportunistically favouring nodes with heavier traffic loads and/or better channel conditions. In this paper we present an analytical model to investigate the behaviour and performance of the TO-DCF protocol with regards to operating parameters such as the number of nodes, the contention window size and the backoff countdown probabilities. We then compare numerical results from an implementation of our model with simulations. Our model shows a high level of accuracy, even when the model assumptions are relaxed, and provides guidance for network operators to correctly configure the weight functions for nodes running TO-DCF given the network's operating conditions.

摘要

TO-DCF是一种用于802.11的新型退避机制，它有潜力显著提高密集无线局域网的吞吐量，同时还能机会性地优待流量负载较重和/或信道条件较好的节点。在本文中，我们提出了一个分析模型，以研究TO-DCF协议在诸如节点数量、竞争窗口大小和退避倒计时概率等操作参数方面的行为和性能。然后，我们将模型实现的数值结果与模拟结果进行比较。我们的模型显示出高度的准确性，即使在模型假设放宽的情况下也是如此，并为网络运营商在给定网络运行条件下为运行TO-DCF的节点正确配置权重函数提供指导。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fad1/5575083/8372e7f776cb/11235_2017_275_Fig17_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fad1/5575083/df6ddf32de14/11235_2017_275_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fad1/5575083/cd58de6c49d2/11235_2017_275_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fad1/5575083/172bfd5048be/11235_2017_275_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fad1/5575083/aa8e7c2e06f8/11235_2017_275_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fad1/5575083/90ddc2b7cba0/11235_2017_275_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fad1/5575083/24950c993344/11235_2017_275_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fad1/5575083/9d43d4aef5c5/11235_2017_275_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fad1/5575083/a8b3781cc840/11235_2017_275_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fad1/5575083/87b4b5ed5b10/11235_2017_275_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fad1/5575083/9e74efab66da/11235_2017_275_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fad1/5575083/2d7a2d6996e8/11235_2017_275_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fad1/5575083/b84486ca4b88/11235_2017_275_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fad1/5575083/cf6c5a5e9113/11235_2017_275_Fig13_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fad1/5575083/e717a6bbc2c9/11235_2017_275_Fig14_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fad1/5575083/a9b61e4f573b/11235_2017_275_Fig15_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fad1/5575083/5abbdc930ff9/11235_2017_275_Fig16_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fad1/5575083/8372e7f776cb/11235_2017_275_Fig17_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fad1/5575083/df6ddf32de14/11235_2017_275_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fad1/5575083/cd58de6c49d2/11235_2017_275_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fad1/5575083/172bfd5048be/11235_2017_275_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fad1/5575083/aa8e7c2e06f8/11235_2017_275_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fad1/5575083/90ddc2b7cba0/11235_2017_275_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fad1/5575083/24950c993344/11235_2017_275_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fad1/5575083/9d43d4aef5c5/11235_2017_275_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fad1/5575083/a8b3781cc840/11235_2017_275_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fad1/5575083/87b4b5ed5b10/11235_2017_275_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fad1/5575083/9e74efab66da/11235_2017_275_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fad1/5575083/2d7a2d6996e8/11235_2017_275_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fad1/5575083/b84486ca4b88/11235_2017_275_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fad1/5575083/cf6c5a5e9113/11235_2017_275_Fig13_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fad1/5575083/e717a6bbc2c9/11235_2017_275_Fig14_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fad1/5575083/a9b61e4f573b/11235_2017_275_Fig15_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fad1/5575083/5abbdc930ff9/11235_2017_275_Fig16_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fad1/5575083/8372e7f776cb/11235_2017_275_Fig17_HTML.jpg

相似文献

1
An analytic model for Throughput Optimal Distributed Coordination Function (TO-DCF).吞吐量最优分布式协调功能（TO-DCF）的解析模型。
Telecommun Syst. 2017;66(2):197-215. doi: 10.1007/s11235-017-0275-6. Epub 2017 Feb 3.
2
Traffic Class Prioritization-Based Slotted-CSMA/CA for IEEE 802.15.4 MAC in Intra-WBANs.基于流量类优先级的 IEEE 802.15.4 MAC 时隙 CSMA/CA 在 WBAN 中的应用。
Sensors (Basel). 2019 Jan 23;19(3):466. doi: 10.3390/s19030466.
3
An Adaptive Channel Access Method for Dynamic Super Dense Wireless Sensor Networks.一种用于动态超密集无线传感器网络的自适应信道接入方法。
Sensors (Basel). 2015 Dec 3;15(12):30221-39. doi: 10.3390/s151229800.
4
Enhancing the selection of backoff interval using fuzzy logic over wireless Ad Hoc networks.通过模糊逻辑增强无线自组织网络中退避间隔的选择。
ScientificWorldJournal. 2015;2015:680681. doi: 10.1155/2015/680681. Epub 2015 Mar 23.
5
Pseudorandom sequence contention algorithm for IEEE 802.11ah based internet of things network.基于 IEEE 802.11ah 的物联网网络的伪随机序列竞争算法。
PLoS One. 2020 Aug 13;15(8):e0237386. doi: 10.1371/journal.pone.0237386. eCollection 2020.
6
Multilink Operation in IEEE 802.11be Wireless LANs: Backoff Overflow Problem and Solutions.IEEE 802.11be无线局域网中的多链路操作：退避溢出问题与解决方案
Sensors (Basel). 2022 May 4;22(9):3501. doi: 10.3390/s22093501.
7
An Analytical Framework for the IEEE 802.15.4 MAC Layer Protocol under Periodic Traffic.周期性流量下IEEE 802.15.4 MAC层协议的分析框架
Sensors (Basel). 2020 Jun 12;20(12):3350. doi: 10.3390/s20123350.
8
Emergency traffic adaptive MAC protocol for wireless body area networks based on prioritization.基于优先级的无线体域网应急流量自适应 MAC 协议。
PLoS One. 2019 Dec 2;14(12):e0225518. doi: 10.1371/journal.pone.0225518. eCollection 2019.
9
Multi-channel distributed coordinated function over single radio in wireless sensor networks.无线传感器网络中的单射频多通道分布式协同功能。
Sensors (Basel). 2011;11(1):964-91. doi: 10.3390/s110100964. Epub 2011 Jan 17.
10
Performance Analysis of Different Backoff Algorithms for WBAN-Based Emerging Sensor Networks.基于无线体域网的新兴传感器网络中不同退避算法的性能分析
Sensors (Basel). 2017 Mar 2;17(3):492. doi: 10.3390/s17030492.