通信学报 ›› 2021, Vol. 42 ›› Issue (2): 72-80.doi: 10.11959/j.issn.1000-436x.2021044

• 学术论文 • 上一篇    下一篇

分布式排队中退避树的深度优先遍历算法

王文鼐, 张延贺, 吴炜, 柏琛, 王斌   

  1. 南京邮电大学通信与信息工程学院,江苏 南京 210003
  • 修回日期:2020-12-16 出版日期:2021-02-25 发布日期:2021-02-01
  • 作者简介:王文鼐(1966- ),男,江苏南京人,博士,南京邮电大学教授、博士生导师,主要研究方向为通信网协议与无线通信技术。
    张延贺(1994- ),男,山东枣庄人,南京邮电大学硕士生,主要研究方向为宽带无线通信技术。
    吴炜(1993- ),女,江苏常州人,南京邮电大学博士生,主要研究方向为宽带无线通信技术。
    柏琛(1995- ),男,江苏盐城人,南京邮电大学硕士生,主要研究方向为宽带无线通信技术。
    王斌(1970- ),男,江西九江人,博士,南京邮电大学副教授、硕士生导师,主要研究方向为移动通信和下一代网络。
  • 基金资助:
    国家自然科学基金资助项目(61871234);国家自然科学基金资助项目(61475075)

Depth first traversal algorithm for the back-off tree of distributed queuing

Wennai WANG, Yanhe ZHANG, Wei WU, Chen BAI, Bin WANG   

  1. School of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
  • Revised:2020-12-16 Online:2021-02-25 Published:2021-02-01
  • Supported by:
    The National Natural Science Foundation of China(61871234);The National Natural Science Foundation of China(61475075)

摘要:

分析传统分布式排队(DQ)的调度过程及退避树操作规则,设计了一种深度优先遍历的改进算法。结合完全二叉树特例分析和随机重构的一般性推算,对改进算法的系统吞吐性能进行了理论分析和仿真评估,给出了DQ帧争用时隙的最优配置条件和基于开源软件NS-3的扩展仿真。仿真结果表明,所提算法的最大吞吐量可稳定达到信道物理容量的70%。

关键词: 随机多址接入, 分布式排队, 指数退避树, 深度优先搜索, 性能分析

Abstract:

An analytic model was provided for the conventional distributed queueing (DQ) and its back-off tree operations, followed by a design of improving algorithm based on depth first traversal.Combing the specific analysis of complete binary tree with generalized extension by random tree reconstruction, the performance of proposed algorithm was evaluated on the throughput in both theory and simulation experiment.A theoretic optimal solution of contention slots of DQ frame and a brief description of simulation extension based on the open source NS-3 were presented.The simulation results show that the maximum stationary throughput by the proposed algorithm reaches 70% of the physical capacity of channel.

Key words: random multiple access, distributed queuing, exponential back-off tree, depth first searching, performance evaluation

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