基于信息素算法的物联网传输流多路复用仿真  

Simulation of Transport Stream Multiplexing of Internet of Things Based on Pheromone Algorithm

作　　者：王云峰 WANG Yun-feng(College of Public Security Technology Gansu University of Political Science and Law,lanzhou Gansu 730070,China)

机构地区：[1]甘肃政法大学公安技术学院,甘肃兰州730070

出　　处：《计算机仿真》2020年第10期253-257,267,共6页Computer Simulation

基　　金：2018年甘肃省科技计划(重点研发计划-社会发展类)项目资助(18YF1FA083);2017年甘肃省高校大学生创新创业专项项目(甘财教[2017]62号)。

摘　　要：现有的物联网传输流多路复用方法存在复用收敛速度慢的问题,因此,为优化物联网传输流多路复用问题,以多路复用需求为基础构建信息素算法,搭建复用层框架,并以此为依据,采用四步遍历法获取PSI信息,再通过构建的信息素算法实现物联网传输流的多路复用。仿真结果表明,与现有的物联网传输流多路复用方法相比较,所提方法有效提升了复用收敛速度,且多路传输流间的传输时延较小,充分表明所提方法具有更好的复用效果和较强的应用优势。At present, the multiplexing method has slow convergence speed. In order to optimize the problem of multiplexing transmission flow in IoT, a pheromone algorithm was constructed based on the multiplexing demand, and the framework of multiplexing layer was built. On this basis, the four-step traversing method was used to get PSI information. Moreover, the pheromone algorithm was used to achieve the multiplexing of IoT transmission flow. Simulation results show that, compared with the existing method, the proposed method effectively improves the multiplexing convergence rate, and the transmission delay between multiple transmission streams is smaller. Therefore, the proposed method has better reuse effect and stronger application advantage.

关 键 词：信息素算法 物联网 传输流 多路复用 四步遍历法 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]