Research on adaptive fast sensing method of large-scale Ad Hoc network states based on four-quadrant classification

BAI Jingjing; ZHU Xiaorong; CUI Tao

doi:10.11959/j.issn.2096-3750.2024.00353

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Research on adaptive fast sensing method of large-scale Ad Hoc network states based on four-quadrant classification

Theory and Technology | 更新时间：2024-08-16

- Research on adaptive fast sensing method of large-scale Ad Hoc network states based on four-quadrant classification
- Chinese Journal on Internet of Things Vol. 8, Issue 2, Pages: 127-137(2024)
- 作者机构：
  
  1.南京邮电大学江苏省无线通信重点实验室，江苏南京 210003
  2.深圳友讯达科技股份有限公司，广东深圳 518100
- 作者简介：
- 基金信息：
  
  The Young Science Leaders of Universities of Jiangsu Province and Key Research and Development Plan of Jiangsu Province(BE2021013-3;BE2020084-3)
- DOI：10.11959/j.issn.2096-3750.2024.00353
  CLC：
- Received：15 March 2023，
  
  Revised：2023-09-11，
  
  Published：10 June 2024
- 稿件说明：
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白晶晶,朱晓荣,崔涛.基于四象限分类的大规模自组织网络状态自适应快速感知方法研究[J].物联网学报,2024,08(02):127-137.

BAI Jingjing,ZHU Xiaorong,CUI Tao.Research on adaptive fast sensing method of large-scale Ad Hoc network states based on four-quadrant classification[J].Chinese Journal on Internet of Things,2024,08(02):127-137.
白晶晶,朱晓荣,崔涛.基于四象限分类的大规模自组织网络状态自适应快速感知方法研究[J].物联网学报,2024,08(02):127-137. DOI： 10.11959/j.issn.2096-3750.2024.00353.

BAI Jingjing,ZHU Xiaorong,CUI Tao.Research on adaptive fast sensing method of large-scale Ad Hoc network states based on four-quadrant classification[J].Chinese Journal on Internet of Things,2024,08(02):127-137. DOI： 10.11959/j.issn.2096-3750.2024.00353.

摘要

在大规模自组织网络中，状态感知是实现全局网络视图的先决条件，为网络故障排除、路由决策、网络拓扑动态规划等提供了数据支持。但现有的单一感知机制无法保证状态信息感知的时效性，同时会产生额外的网络开销，降低网络性能。针对上述问题，提出了一种基于四象限分类的大规模自组织网络状态自适应快速感知方法。首先，根据时延敏感度及网络请求频率差异化，将网络状态信息基于四象限图的思想进行分类。其次，针对不同象限的网络状态信息分别设计快速感知策略，同时将网络状态信息封装到管理帧中，以实现嵌入式传输，降低网络开销。最后，通过仿真实验验证了自适应快速感知方法在时效性和信息有效性方面均优于单一的主动上报和请求应答式策略。

Abstract

In large-scale Ad Hoc network

state sensing is a prerequisite for realizing global network view

which provides data support for network troubleshooting

routing decision and dynamic network topology planning. However

the existing single sensing mechanism cannot guarantee the timeliness of state information sensing

and will generate extra network overhead and reduce the network performance. To solve the above problems

an adaptive fast sensing strategy for large-scale Ad Hoc network states was proposed based on four-quadrant classification. Firstly

according to the difference of the delay sensitivity of network state information and network request frequency

it was classified based on the idea of four-quadrant graph. Secondly

fast sensing strategy was designed for network state information in different quadrants

and network state information was encapsulated into management frames to achieve embedded transmission and reduce network overhead. Finally

the simulation experiments show that the adaptive fast sensing method is superior to the single active reporting and request response strategy in terms of timeliness and information validity.

关键词

Keywords

references

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