物联网学报 (Jun 2024)
Research on adaptive fast sensing method of large-scale Ad Hoc network states based on four-quadrant classification
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.
