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Demo: Bi-static Scatter Underwater Acoustic Communications

Parker Wilmoth, The University of Texas at Tyler, US, pwilmoth@patriots.uttyler.edu
Tariqullah Wardak, Palm Beach State College, US, wardakt@my.palmbeachstate.edu
Ynes Ineza, Texas Tech University, US, ynessineza@gmail.com
Steven Givens, Florida Atlantic University, US, sgivens2018@fau.edu
Craig Peroni, Florida Atlantic University, US, cperoni2020@fau.edu
George Sklivanitis, Florida Atlantic University, US, gsklivanitis@fau.edu
Dimitris Pados, Florida Atlantic University, US, dpados@fau.edu

Scatter radio achieves communication by reflection and requires low-cost and low-power radio frequency (RF) front-ends, however RF does not propagate more than a few centimeters through water. In this demo, we show the feasibility of near-zero power underwater communications using passive sensor/tags in a bistatic topology to communicate sensor data by means of acoustic reflections. We present a non-classic bi-static scatter communications architecture, where the carrier emitter is an acoustic wave generator detached from an acoustic receiver. We built a tag prototype that consumes less than 4 mW for communications and less than 0.5 mW in sleep mode. In the demo, we will demonstrate low communication rates of 100 bps at small distances inside a small 10 gallon fish tank.

CCS Concepts:Computer systems organization → Embedded systems; Redundancy;Computer systems organization~Robotics;Networks~Network reliability;

Keywords: underwater IoT, backscatter communications

ACM Reference Format:
Parker Wilmoth, Tariqullah Wardak, Ynes Ineza, Steven Givens, Craig Peroni, George Sklivanitis, and Dimitris Pados. 2022. Demo: Bi-static Scatter Underwater Acoustic Communications. In The 16th International Conference on Underwater Networks & Systems (WUWNet'22), November 14–16, 2022, Boston, MA, USA. ACM, New York, NY, USA 2 Pages. https://doi.org/10.1145/3567600.3569548

1 INTRODUCTION

Scatter radio, i.e., communication by means of reflection rather than radiation, although not a new idea, has recently been used for underwater sensor network applications [2].

Because communication can be achieved with a single transistor front-end, scatter underwater acoustic communications can minimize both energy requirements and monetary cost of each sensor. This allows for widespread collection and analysis of data from Internet of Underwater Things (IoUT) devices, on a large scale, and enable a plethora of applications. These range from marine conservation, coastal resilience, aquaculture, offshore energy, defense, among others [1].

Extended field coverage is a key challenge i.e., the communication range between the sensor tags and the receiver has to be maximized. Achieved ranges are inherently limited due to the following: 1) passive communications, since tags rectify a continuous wave (CW) signal, transmitted by the emitter, and the achieved range is limited by the so called "power-up link"; 2) high bit rates, thus small bit duration lead to reduced energy-per-bit and signal-to-noise ratio; 3) monostatic architecture i.e., the carrier emitter and receiver are co-located in the same box, which means that these systems suffer from round-trip path loss.

Figure 1
Figure 1: Demo setup.

Our demo shows a passive sensor/tag in a bistatic topology (i.e., carrier emitter and receiver placed in different locations) to communicate sensor data by means of acoustic reflections (see Fig. 1). The emitter illuminates the tag with a carrier continuous wave at fc = 35.9 kHz. To modulate sensor information, the tag terminates a piezoceramic transducer between two loads. Ideally, when the transistor is switched on, the transducer is short-circuited and the incident wave is scattered back with a negative reflection coefficient (phase change π). Respectively, when the transistor is switched off, the transducer is open-circuited and the incident wave is scattered intact (i.e., no phase change). Modulation on the tag is achieved by switching the transistor at two rates i.e., f1fc and f0fc, thus changing between two reflection coefficients. To ensure orthogonality for noncoherent frequency shift keying (FSK), the spacing between the two subcarrier frequencies is |f1f0| ≥ 1/2T, where f0 = 40 kHz, f1 = 44.5 kHz and T = 10 ms is the i-th bit duration. At the receiver we correlate against frequencies f0 and f1 for signal demodulation (see Fig. 2).

2 PROTOTYPING CHALLENGES

The efficiency of energy transfer was measured by the percentage of current that could be collected at the sensor tag. This changed with three main variables that required careful tuning: 1) the potting material used for the piezoceramic transducer which affected the selection of the frequency for the carrier wave at the emitter, 2) the subcarrier frequencies and 3) the design of the electrical matching circuitry. The most pertinent variable was the potting material. We found out that hard plastic materials perform better than soft silicon and rubber-based plastics. We observed that application of a thin layer of UV-resin resulted in better frequency response compared to thicker tabletop epoxy or polyurethane mold-based materials. This was even the case when the thickness of the epoxy/polyurethane was the optimal (as indicated in the literature) one fourth of the signal wavelength. As soon as UV-resin demonstrated good power transfer results, we measured the new resonance frequency of the piezo in water and used it to match the piezo's electrical impedance. We discovered that the nominal resonance frequency of the piezo measured in air is not nearly as effective as the second harmonic that appears at twice its resonance frequency.

Figure 2
Figure 2: Data decoding results at the receiver.

Specifically, we observed that the tag worked better around the 2nd harmonic when tested in a denser environment where it experiences a higher loading from the water. Subcarrier frequencies f0 and f1 were selected based on the impedance measurements and the minimum frequency separation criterion for non-coherent FSK. We avoided selecting f0 and f1 to be multiples of each other since both would get illuminated at the same time by the incident carrier wave. The final challenge was impedance matching at the transmitter side. High power inductors are not as readily available (as their 0.5 W versions), thus we had a limitation on the amount of maximum power that we were capable of transmitting. This resulted in limited communication range for our system.

3 DEMO SETUP

Our demo will be set up in a small 10 gallon fish tank, see Fig. 1. The bistatic underwater acoustic backscatter communication system consists of a carrier emitter, a sensor tag and a software-defined underwater acoustic receiver. The battery-free tag prototype consists of a piezoelectric transducer, electric impedance matching, voltage multiplier circuitry, and a low-power microcontroller that can interface to a sensor unit. The demonstration will begin with the carrier wave being amplified and transmitted through the transmitter piezo. The power of the carrier wave will be controlled by the tunable voltage supply supporting the transmitter. The sensor tag will be connected to a breadboard with the energy harvesting, and impedance matching circuitry. As the sensor tag begins to power up, voltage will be measured and displayed in real time. When the sensor tag has collected sufficient voltage, it will audibly reflect the carrier wave and send its (pre-set) data vector to the receiver. Voltage will visibly drop at the same instant the audible reflection will take place. The receiver will be connected to an oscilloscope, which will record the transmission of data as well as display the FFT spectrum at the receiver in real-time. The received data will then be loaded to MATLAB for decoding and display.

REFERENCES

  • Mohammad Jahanbakht, Wei Xiang, Lajos Hanzo, and Mostafa Rahimi Azghadi. 2021. Internet of Underwater Things and Big Marine Data Analytics—A Comprehensive Survey. IEEE Communications Surveys & Tutorials 23, 2 (2021), 904–956. https://doi.org/10.1109/COMST.2021.3053118
  • Junsu Jang and Fadel Adib. 2019. Underwater Backscatter Networking. In Proceedings of the ACM Special Interest Group on Data Communication (Beijing, China) (SIGCOMM ’19). Association for Computing Machinery, New York, NY, USA, 187–199. https://doi.org/10.1145/3341302.3342091

FOOTNOTE

The work of P. Wilmoth, T. Wardak and Y. Ineza has been supported by NSF under Grant CNS-1950400. The work of S. Givens, C. Peroni, G. Sklivanitis and D. A. Pados was supported in part by NSF under Grant CNS-1753406, Shipwreck Park, and the Schmidt Family Foundation.

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WUWNet'22, November 14–16, 2022, Boston, MA, USA

© 2022 Copyright held by the owner/author(s).
ACM ISBN 978-1-4503-9952-4/22/11.
DOI: https://doi.org/10.1145/3567600.3569548