基于模糊置信与滞回触发的无人系统分布式数据传输方法
By using fuzzy confidence and hysteresis triggering methods to dynamically adjust the data transmission strategy, the problem of transmitting high-value, low-quality data in unmanned systems under low-bandwidth environments was solved, achieving reliable and real-time data transmission.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- 湖南工商大学
- Filing Date
- 2026-04-08
- Publication Date
- 2026-07-17
AI Technical Summary
Existing unmanned systems rely on event-triggered distributed data transmission methods that delay or discard critical information in scenarios with high mission value and low observation confidence. The triggering mechanism has poor anti-interference capabilities, leading to network instability and low bandwidth utilization.
A method based on fuzzy confidence and hysteresis triggering is adopted. By extracting uncertainty feature vectors and task value feature vectors in parallel, a two-layer fuzzy inference is performed to calculate the comprehensive confidence level, dynamically adjust the high trigger threshold and low quiescent threshold, and execute a differentiated data transmission strategy.
It enables reliable, real-time transmission of high-value, low-quality data in low-bandwidth dynamic environments, avoiding network oscillations and congestion, and improving bandwidth utilization.
Smart Images
Figure CN122001952B_ABST