Chenpei Huang
ABSTRACT
This paper considers the sensor aggregation for underwater pipe-assisted stress wave communication (SWC). Although the SWC is able to support the on-pipe sensor network in short range, the spectrum of long-range SWC is limited due to the effect of reflections at the pipe joints. To address this issue, the orthogonal frequency-division multiplexing (OFDM)-based consensus data aggregation is proposed. Furthermore, the consensus data can be received via time-domain sampling after ’compute-during-transmit’ in multiple access channels (MAC). The simulation results show 0.26%, 0.03%, and 0.08% mean-square-error (MSE) in 5, 10, and 20 sensor aggregation respectively with 5 dB average SNR. A vanishing mean-square-error (MSE) can be observed when increasing either the signal-to-noise ratio (SNR) or the number of sensors. This design can obtain the aggregated data by a simple time domain sampling with no need of down-conversion and demodulation.
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- G. Du, Q. Kong, F. Wu, J. Ruan, and G. Song. 2016. An experimental feasibility study of pipeline corrosion pit detection using a piezoceramic time reversal mirror. Smart Materials and Structures 25, 3 (February 2016), 037002. https://doi.org/10.1088/0964-1726/25/3/037002Google ScholarCross Ref
- C. Huang, D. Wei, C. Qi, A. Song, G. Song, J. Chen, and M. Pan. 2021. Reverberating Stress Wave Channel Capacity in Pipe Communications. In IEEE International Conference on Communications (ICC’21). IEEE, Montreal, QC, Canada, 1–6. https://doi.org/10.1109/ICC42927.2021.9500954Google Scholar
- A. Redissi and S. Miller. 2019. Communication through acoustic vibration of pipe strings. The Journal of the Acoustical Society of America 146, 2 (2019), 1416–1426. https://doi.org/10.1121/1.5124002Google ScholarCross Ref
- D. Wei, C. Qi, C. Huang, J. Chen, A. Song, G. Song, and M. Pan. 2021. Riding Stress Wave: Underwater Communications Through Pipeline Networks. IEEE Journal of Oceanic Engineering 46, 4 (2021), 1450–1462. https://doi.org/10.1109/JOE.2021.3085098Google ScholarCross Ref
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