LoRa LPWAN Sensor Network for Real-Time Monitoring and It’s Control Method

Kim, Jong-Hoon; Park, Wonjoo; Park, Jin-Oh; Park, Sang‐Hyun

doi:10.7734/coseik.2018.31.6.359

Cited by 7 publications

(3 citation statements)

References 7 publications

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“…The CR is for Forward Error Correction (FEC), which is combined with the spread spectrum technique to further increase the receiver sensitivity and correction. The SF affects the rate of data transmission, while the LoRa supports multiple spreading factors (between [7][8][9][10][11][12] to decide the tradeoff between the range and data rate. A lower SF results in a higher data transmission rate but also a lower range of transmission due to the reduced immunity to interference [15].…”

Section: Lora Data Transmissionmentioning

confidence: 99%

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Edge Structural Health Monitoring (E-SHM) Using Low-Power Wireless Sensing

Buckley

Ghosh

Pakrashi

2021

Sensors

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Effective Structural Health Monitoring (SHM) often requires continuous monitoring to capture changes of features of interest in structures, which are often located far from power sources. A key challenge lies in continuous low-power data transmission from sensors. Despite significant developments in long-range, low-power telecommunication (e.g., LoRa NB-IoT), there are inadequate demonstrative benchmarks for low-power SHM. Damage detection is often based on monitoring features computed from acceleration signals where data are extensive due to the frequency of sampling (~100–500 Hz). Low-power, long-range telecommunications are restricted in both the size and frequency of data packets. However, microcontrollers are becoming more efficient, enabling local computing of damage-sensitive features. This paper demonstrates the implementation of an Edge-SHM framework through low-power, long-range, wireless, low-cost and off-the-shelf components. A bespoke setup is developed with a low-power MEM accelerometer and a microcontroller where frequency and time domain features are computed over set time intervals before sending them to a cloud platform. A cantilever beam excited by an electrodynamic shaker is monitored, where damage is introduced through the controlled loosening of bolts at the fixed boundary, thereby introducing rotation at its fixed end. The results demonstrate how an IoT-driven edge platform can benefit continuous monitoring.

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Section: Lora Data Transmissionmentioning

confidence: 99%

“…Alternative Low-Power Wide-Area Networks (LPWAN) [7] have been developed for wireless sensors applications for the Internet of Things (IoT). These include cellular-based technologies such as NarrowBand-IoT (NB-IoT) [8] and technologies such as SigFox and LoRa [9,10], which operate in the unlicensed scientific bands.…”

Section: Introductionmentioning

confidence: 99%

Edge Structural Health Monitoring (E-SHM) Using Low-Power Wireless Sensing

Buckley

Ghosh

Pakrashi

2021

Sensors

View full text Add to dashboard Cite

show abstract

“…이러한 어려움을 극복하고자 IoT 센서를 이용하여 교량을 모니터링하는 연구들 (Hoang et al, 2020;Kim et al, 2018;Kurata et al, 2013) (Brownjohn et al, 2003;Farrar and Jauregui, 1998), 유한요소 모델을 개선하 여 유한요소 모델을 실제 구조물과 최대한 가깝게 모델링하는 방법에 주력해 왔다 (Ferrari et al, 2019). 변형률과 변위 사이엔 다음과 같은 관계식이 성립한다.…”

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