Long range wireless SAW passive tag system for vibration monitoring

Shibata, Koki; Takahashi, Eiki; Fujiwara, Hitoshi; Suda, T.; Kondoh, Jun; Hirose, Takeshi; Toyota, Yusuke; Ozaki, Masayuki

doi:10.1109/ultsym.2017.8091922

Cited by 2 publications

(1 citation statement)

References 3 publications

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“…It can be shown that many such SAW tags can be simultaneously detected from a much larger distance of up to 50 m for a reader transmit power of 100 mW. Papers [42] and [43] achieved a read range of 6.2 m and 15 m for a reader transmit power of 20 mW. Therefore, comparing the above results with a 20 mW transmit power as in Fig.…”

Section: Probability Of Error and Read Range Analysismentioning

confidence: 79%

Simultaneous Detection of Multiple Surface Acoustic Wave Sensor Tags for Water Quality Monitoring Utilizing Cellular Code-Reuse Approach

Suresh

Jeoti

Drieberg

et al. 2022

IEEE Internet Things J.

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A water quality monitoring application often requires the deployment of Internet of Things (IoT) sensors over a wide water body with communication links among them to transmit, receive the data, and then uplink it to the cloud for further analytics. Deployment of this kind requires battery-assisted IoT sensors which require monitoring the battery level and replacement when necessary. It is thus desirable to have battery-free sensortags and a suitable communication infrastructure to obtain data. In this paper, a system that facilitates obtaining sensed data, like pH, through passive sensor-tags based on Surface Acoustic Wave (SAW) technology and a cellular code-reuse scheme based reader infrastructure is proposed. The reader in each cell is able to read multiple sensor-tags simultaneously, which itself has been a challenge. The SAW sensor tags are appropriately proposed to be designed to be orthogonal to allow simultaneous detection and the cell range of reader-SAW sensor-tags communication is sought to be further enhanced through a resonant loading of Interdigital Transducer (IDT) based reflectors.

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Section: Probability Of Error and Read Range Analysismentioning

confidence: 79%