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。
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.
作者
白晶晶
朱晓荣
崔涛
BAI Jingjing;ZHU Xiaorong;CUI Tao(Nanjing University of Posts and Telecommunications Jiangsu Provincial Key Laboratory of Wireless Communication,Nanjing 210003,China;Shenzhen Friendcom Technology Development Co.,Ltd.,Shenzhen 518100,China)
出处
《物联网学报》
2024年第2期127-137,共11页
Chinese Journal on Internet of Things
基金
国家自然科学基金项目(No.92067101)
江苏省重点研发计划基金资助项目(No.BE2021013-3,No.BE2020084-3)。
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
large-scale Ad Hoc network
four-quadrant classification
adaptive fast sensing
embedded transmission
