摘要
ALOHA算法是RFID技术解决多标签冲突的关键方法,传统多采用MATLAB对其进行仿真验证。但受中美两国竞争影响,高校使用受限,现Python大数据分析工具已成为MATLAB的有效替代。首先介绍ALOHA算法工作原理,其次使用排列组合和极限思想推导其理论吞吐率的数学表达式,最后引入Python大数据分析/科学计算平台Anaconda,实现了经典ALOHA算法的碰撞模拟和吞吐率分析。该方法有助于改进ALOHA算法的理论教学和研究工作,并解决了MATLAB使用受限的问题。
ALOHA algorithm is a key method for RFID technology to solve multi-tag collision,and traditionally MATLAB is often used for simulation verification.However,due to the competition between China and the United States,it has been restricted in universities,and the Python big data analysis tool has now become an effective alternative to MATLAB.This article begins by introducing the working principles and related conclusions of the ALOHA algorithm.The theoretical throughput rates are then derived using concepts of permutations,combinations,and limits to facilitate clear understanding.Finally,the article incorporates the Python-based data analysis and scientific computing platform,Anaconda,to implement collision simulation and throughput analysis for the ALOHA algorithm.By introducing these new tools and methods,this article aims to improve the theoretical teaching and research of the ALOHA algorithm while addressing the limitations associated with MATLAB usage.
作者
杨群伟
郭丽清
王宁
YANG Qunwei;GUO Liqing;WANG Ning(School of Information and Intelligent Mechatronics,Xiamen Huaxia University;General Education Center,Xiamen Huaxia University;Information Communication Technology and Smart Education of Fujian Engineeing Research Center,Xiamen 361021,China)
出处
《软件导刊》
2024年第8期151-155,共5页
Software Guide
基金
厦门华厦学院人才引进校内科研项目(HX202203)。
