退避算法改进及其在矿山物联网应用研究  

Improvement of Backoff Algorithm and Its Application in Mine Internet of Things

作　　者：李敬兆[1] 陈尚凯 LI Jingzhao;CHEN Shangkai(School of computer science and engineering,Anhui University of science and technology,Huainan Anhui 232001,China)

机构地区：[1]安徽理工大学计算机科学与工程学院,安徽淮南232001

出　　处：《安徽理工大学学报（自然科学版）》2021年第4期73-78,共6页Journal of Anhui University of Science and Technology:Natural Science

基　　金：国家自然科学基金资助项目(51874010);物联网关键技术研究创新团队基金资助项目(201950ZX003)。

摘　　要：针对智慧矿山建设中,数据在无线传输过程存在的传输速率低、覆盖范围不足及稳定性差等问题,将退避算法应用到矿山物联网中,来提升无线网络的性能。而目前常用的退避算法由于缺乏适应能力,无法满足网络环境的变化。因此,对退避算法进行改进,引入一个竞争窗口的门限值CWt,来划分网络环境的负载情况,并采用对应的退避策略以适应变化的网络环境。实验结果表明,采用改进的退避算法对网络进行优化后,矿山物联网的性能有了显著提升。Aiming at the problems of low transmission rate,insufficient coverage and low stability of data in the wireless transmission process in the construction of smart mine,the backoff algorithm is applied to the mine Internet of things to improve the performance of wireless network.However,due to the lack of adaptability,the commonly used backoff algorithm can't meet the changes of network environment.Therefore,this paper improves the backoff algorithm,introduces a threshold CWt of competition window to divide the load of network environment,and adopts the corresponding backoff strategy to adapt to the changing network environment.The experimental results show that the network performance of mine Internet of things has been significantly improved by using the improved backoff algorithm to optimize the network.

关 键 词：智慧矿山 矿山物联网 竞争窗口值 退避算法 网络性能 

分 类 号：TD211[矿业工程—矿井建设]