吉林大学学报(理学版) ›› 2023, Vol. 61 ›› Issue (6): 1401-1406.

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基于信息素算法的物联网传输流多路复用方法

景雯1, 张杰1, 陈富2   

  1. 1. 山西大同大学 计算机与网络工程学院, 山西 大同 037009; 2. 山西大同大学 数学与统计学院, 山西 大同 037009
  • 收稿日期:2022-12-14 出版日期:2023-11-26 发布日期:2023-11-26
  • 通讯作者: 景雯 E-mail:jingwen45165@163.com

A Method for  Transport Stream Multiplexing of Internet of Things Based on Pheromone Algorithm

JING Wen1, ZHANG Jie1, CHEN Fu2   

  1. 1. School of Computer and Network Engineering, Shanxi Datong University, Datong 037009, Shanxi Province, China;
    2. School of Mathematics and Statistics, Shanxi Datong University, Datong 037009, Shanxi Province, China
  • Received:2022-12-14 Online:2023-11-26 Published:2023-11-26

摘要: 针对物联网传输流多路复用性差、 路由开销和平均时延均较高的问题, 提出一种基于信息素算法的物联网传输流多路复用方法, 该方法先通过分析物联网现状与需求, 确定多路复用的必要性; 然后以一次网络通信任务为基础, 概述物联网传输流多路复用的基本思路; 最后在解决多路复用存在的单路径问题基础上, 利用信息素算法构建针对物联网传输流的多路复用模型, 根据模型输出结果, 实现物联网传输流多路复用. 实验结果表明, 该方法的复用结果包含了多路信号, 信号未缺失, 并且路由开销仅为3×104 Mb, 平均时延仅为15 ms.

关键词: 物联网, 传输流多路复用, 单路径, 多路径, 信息素算法

Abstract: Aiming at the problems of poor multiplexing, high routing overhead and average delay of Internet of Things (IoT) transport streams, we proposed a method for  transport stream multiplexing of IoT based on pheromone algorithm. Firstly, the method determined the necessity of multiplexing by analyzing the current situation and requirement of IoT. Secondly,  based on a network communication task, the basic idea of  transport stream multiplexing of IoT was outlined. Finally, on the basis of solving the single path problem existing in multiplexing, the pheromone algorithm was used to build a multiplexing model for the  transport stream of IoT, and the transport stream multiplexing of IoT was realized according to  output results of the model.  The experimental results show that the multiplexing result of the proposed method includes multiple signals, the signals are not missing, and the routing cost is only 3×104 Mb, and the average delay is only 15 ms.

Key words: Internet of Things (IoT), transport stream multiplexing, single path, multipath, pheromone algorithm

中图分类号: 

  • TP18