Tang, N. orcid.org/0000-0003-3672-7909, Liu, Y. orcid.org/0000-0002-8452-6020, Chu, X. orcid.org/0000-0003-1863-6149 et al. (1 more author) (2026) Poster: Energy efficiency maximization for underwater acoustic backscatter communications. In: Proceedings of the 24th Annual International Conference on Mobile Systems, Applications and Services Companion. MobiSys Companion '26: 24th Annual International Conference on Mobile Systems, Applications and Services Companion, 21-25 Jun 2026, Cambridge, United Kingdom. . ACM, pp. 62-63.
Abstract
Backscatter communication enables battery-less IoT devices by modulating ambient electromagnetic waves (terrestrial) or acoustic (underwater) waves without active transmission. This paper presents an energy-efficient design framework for underwater acoustic backscatter systems, where high-power transceivers emit acoustic signals and piezoelectric nodes modulate and reflect them back. Our work establishes a comprehensive analytical model that integrates three critical aspects: the electromechanical behavior of piezoelectric nodes, the underwater acoustic channel, and transceiver placement. Leveraging a circuit-theoretic approach to piezoelectric behavior, this framework enables the systematic optimization of key material and communication parameters, including vibration mode selection, circuit loading, and modulation scheme, to maximize energy efficiency. Simulation results validate the effectiveness of the proposed models and optimization strategies, and identify the dominant parameters that govern system energy efficiency.
Metadata
| Item Type: | Proceedings Paper |
|---|---|
| Authors/Creators: |
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| Copyright, Publisher and Additional Information: | © 2026 Copyright held by the owner/author(s). This work is licensed under a Creative Commons Attribution International 4.0 License. https://creativecommons.org/licenses/by/4.0/ |
| Keywords: | backscatter communications; energy efficiency; internet-of-things; piezoelectric materials; underwater acoustics |
| Dates: |
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| Institution: | The University of Sheffield |
| Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > School of Electrical and Electronic Engineering |
| Funding Information: | Funder Grant number UK Research and Innovation EP/X021211/1 |
| Date Deposited: | 13 Jul 2026 10:16 |
| Last Modified: | 13 Jul 2026 10:16 |
| Status: | Published |
| Publisher: | ACM |
| Refereed: | Yes |
| Identification Number: | 10.1145/3812835.3814880 |
| Sustainable Development Goals: | |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:243046 |
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Filename: 3812835.3814880.pdf
Licence: CC-BY 4.0


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