Optimal Sleep Scheduling for Energy-Efficient AoI Optimization in Industrial Internet of Things
Optimal Sleep Scheduling for Energy-Efficient AoI Optimization in Industrial Internet of Things
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DOI：
10.1109/jiot.2023.3234582
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发表时间：
2023-06
影响因子：
10.6
通讯作者：
Xianghui Cao;Jia Wang;Yu Cheng;Jiong Jin
中科院分区：
文献类型：
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作者：
Xianghui Cao;Jia Wang;Yu Cheng;Jiong Jin
对于工业物联网（IIoT）来说，保持传感器数据的新鲜性是理想的，尤其是在实时监测应用中。然而，这可能需要传感器始终处于活动模式，从而导致能源效率低下。在本文中，我们考虑一个无线传感器监测一个动态系统，并通过一个不可靠的无线信道向处理中心报告实时测量值。我们研究了在通过在需要时安排传感器睡眠来节省能源的同时，根据信息年龄（AoI）优化传感器数据新鲜度的问题。该问题被表述为一个同时考虑AoI和能耗的马尔可夫决策过程，我们从理论上证明了最优调度策略形成一个循环的睡眠 - 唤醒模式。还分析了最优睡眠周期。仿真结果表明，所提出的调度策略优于其他现有策略。
Keeping sensor data fresh is desired for Industrial Internet of Things (IIoT), especially, in real-time monitoring applications. However, this may require sensors always in active mode and, thus, incur low energy efficiency. In this article, we consider that a wireless sensor monitors a dynamical system and reports real-time measurements to a processing center through an unreliable wireless channel. We study the problem of optimizing the sensor data freshness in terms of Age of Information (AoI) while saving energy by scheduling the sensor to sleep when needed. The problem is formulated as a Markov decision process that takes both AoI and energy consumption into account, to which we theoretically prove that the optimal scheduling policy forms a cyclic sleep–wake pattern. The optimal sleep period is also analyzed. Simulation results demonstrate that the proposed scheduling policy outperforms other existing policies.