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
Research on adaptive fast sensing method of large-scale Ad Hoc network states based on four-quadrant classification
白晶晶 1朱晓荣 1崔涛2
作者信息
- 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
- 折叠
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 exist-ing single sensing mechanism cannot guarantee the timeliness of state information sensing,and will generate extra net-work 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
大规模自组织网络/四象限分类/自适应快速感知/嵌入式传输Key words
large-scale Ad Hoc network/four-quadrant classification/adaptive fast sensing/embedded transmission引用本文复制引用
基金项目
国家自然科学基金项目(92067101)
江苏省重点研发计划基金资助项目(BE2021013-3)
江苏省重点研发计划基金资助项目(BE2020084-3)
出版年
2024
国家科技期刊平台
NSTL
万方数据