Simulation Research of IoT ALOHA Algorithm Based on Python Anaconda
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,combina-tions,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.
ALOHA algorithm for the Internet of Thingsdata visualizationcomputer simulationPython Anaconda
国家科技期刊平台
NSTL
万方数据
