具能量採集功能的物聯網設備降低了電池維護的成本和污染。然而，動態輸入功率的影響和應用程序的間歇性執行，導致在具能量採集功能的物聯網設備中調度具即時性的應用程序更有挑戰性。在這項研究中，我們提出了一種能量時間預測器來估計運行時具有干擾延遲和不同充電延遲的應用程序的反應時間。為了提高間歇設備上多個即時性應用程序的工作時效內完成率，我們進而提出了動態執行評估器和能量時間控制流程。我們在真實平台上評估其性能，其結果顯示能有效提高工作時效內完成率。

Energy harvesting IoT devices reduce battery maintenance costs and pollution. The influence of dynamic input power and the intermittent execution of applications result in scheduling time-sensitive applications in energy-harvesting IoT devices more challenging. In this study, we propose an energy time predictor to estimate the response time of applications with interference delay and varied charging delay during run-time. We then present a dynamic process evaluator and energy time admission control to improve the meet ratio of multiple time-sensitive applications on intermittent devices. The performance of the proposed approach was evaluated on a real platform and impressive results were obtained.

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