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HW/SW co-design of nonvolatile IO system in energy harvesting sensor nodes for optimal data acquisition

机译:能量收集传感器节点中的非易失性IO系统的硬件/软件协同设计,可实现最佳数据采集

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Energy harvesting has been widely investigated as a promising alternative for future wearable sensors or internet-of-things. However, power and performance overhead is induced when IO operations are interrupted by power failures because non-preemptive characteristic of IO operations causes expensive re-executions. Furthermore, the state-of-art IO devices need long and power hungry initializing process, which makes IO operations inefficient in transient powered systems. This paper proposed a HW/SW co-design approach for nonvolatile IO system to maximize data acquisition. A ferroelectric flip-flop based nonvolatile IO architecture is adopted to reduce IO initialization overhead by 3-4 orders of magnitude. Based on the nonvolatile IO interface, we further formulate the optimal data acquisition as an INLP problem and a risk-aware online scheduler is presented to solve the problem efficiently. Experimental results show that the proposed HW/SW co-design architecture improves data acquisition by 2-5 times compared with conventional HW/SW architecture.
机译:能量收集已被广泛研究,作为未来可穿戴传感器或物联网的有希望的替代方法。但是,当IO操作因电源故障而中断时,会导致功耗和性能开销,因为IO操作的非抢先特性会导致昂贵的重新执行。此外,最新的IO设备需要漫长且耗电的初始化过程,这使得IO操作在瞬态供电系统中效率低下。本文提出了一种用于非易失性IO系统的硬件/软件协同设计方法,以最大限度地提高数据采集的效率。采用基于铁电触发器的非易失性IO架构,可将IO初始化开销减少3-4个数量级。基于非易失性IO接口,我们进一步将最佳数据获取公式化为INLP问题,并提出了一种具有风险意识的在线计划程序以有效解决该问题。实验结果表明,与传统的HW / SW体系结构相比,所提出的HW / SW协同设计体系结构将数据采集提高了2-5倍。

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