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用于罕见事件传感应用中长期活动监测的精度-能量可配置传感器处理器及物联网设备。

Accuracy-energy configurable sensor processor and IoT device for long-term activity monitoring in rare-event sensing applications.

作者信息

Park Daejin, Cho Jeonghun

机构信息

School of Electronics Engineering, Kyungpook National University, Daegu 702-701, Republic of Korea.

出版信息

ScientificWorldJournal. 2014;2014:546563. doi: 10.1155/2014/546563. Epub 2014 Dec 14.

DOI:10.1155/2014/546563
PMID:25580458
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4279267/
Abstract

A specially designed sensor processor used as a main processor in IoT (internet-of-thing) device for the rare-event sensing applications is proposed. The IoT device including the proposed sensor processor performs the event-driven sensor data processing based on an accuracy-energy configurable event-quantization in architectural level. The received sensor signal is converted into a sequence of atomic events, which is extracted by the signal-to-atomic-event generator (AEG). Using an event signal processing unit (EPU) as an accelerator, the extracted atomic events are analyzed to build the final event. Instead of the sampled raw data transmission via internet, the proposed method delays the communication with a host system until a semantic pattern of the signal is identified as a final event. The proposed processor is implemented on a single chip, which is tightly coupled in bus connection level with a microcontroller using a 0.18 μm CMOS embedded-flash process. For experimental results, we evaluated the proposed sensor processor by using an IR- (infrared radio-) based signal reflection and sensor signal acquisition system. We successfully demonstrated that the expected power consumption is in the range of 20% to 50% compared to the result of the basement in case of allowing 10% accuracy error.

摘要

提出了一种专门设计的传感器处理器,用作物联网(IoT)设备中的主处理器,用于罕见事件传感应用。包括所提出的传感器处理器的物联网设备基于架构级别的精度-能量可配置事件量化来执行事件驱动的传感器数据处理。接收到的传感器信号被转换为一系列原子事件,由信号到原子事件发生器(AEG)提取。使用事件信号处理单元(EPU)作为加速器,对提取的原子事件进行分析以构建最终事件。与通过互联网传输采样的原始数据不同,所提出的方法将与主机系统的通信延迟到信号的语义模式被识别为最终事件。所提出的处理器在单个芯片上实现,该芯片在总线连接级别与微控制器紧密耦合,采用0.18μm CMOS嵌入式闪存工艺。对于实验结果,我们使用基于红外无线电(IR)的信号反射和传感器信号采集系统对所提出的传感器处理器进行了评估。我们成功证明,在允许10%精度误差的情况下,与基线结果相比,预期功耗在20%至50%的范围内。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d767/4279267/37d81c1a0fc4/TSWJ2014-546563.011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d767/4279267/407dee0dd213/TSWJ2014-546563.001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d767/4279267/37d81c1a0fc4/TSWJ2014-546563.011.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d767/4279267/828aef121027/TSWJ2014-546563.003.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d767/4279267/df2c6a8f3c8d/TSWJ2014-546563.010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d767/4279267/37d81c1a0fc4/TSWJ2014-546563.011.jpg

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本文引用的文献

1
Low-power sensor module for long-term activity monitoring.用于长期活动监测的低功耗传感器模块。
Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:2237-41. doi: 10.1109/IEMBS.2011.6090424.