面向能量采集的无线传感器网络覆盖调度方法及系统
By constructing intraday multi-scenario power trajectories and tail risk metrics, the work schedule of the sensor network is dynamically adjusted, solving the problem of insufficient energy in wireless sensor networks under extreme weather conditions, and achieving efficient energy utilization and stable network coverage.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HEFEI UNIV
- Filing Date
- 2026-04-09
- Publication Date
- 2026-07-17
AI Technical Summary
Existing wireless sensor network coverage scheduling methods fail to effectively address photovoltaic power deviations under extreme weather conditions, leading to energy gaps or curtailment. Furthermore, they lack scientific basis for node synergy, making it difficult to guarantee the long-term operational reliability of the network.
By constructing intraday power trajectories for multiple scenarios and introducing tail risk metrics, a predictive power curve with controllable risk is generated. Combined with sensor energy budget and grid collaborative detection potential, the work schedule is dynamically adjusted to optimize sensor operating modes and achieve efficient energy utilization.
It reduces the risk of power gaps and coverage interruptions, improves the long-term operating performance and energy efficiency of the network, ensures optimal sensor coverage, avoids energy waste, and enhances the coverage effect and task completion rate of the monitored area.
Smart Images
Figure CN122002301B_ABST