Evaluating Acoustic Data Transmission Schemes for Ad-Hoc Communication Between Nearby Smart Devices
Acoustic data transmission offers a compelling alternative to Bluetooth and NFC by leveraging the ubiquitous speakers and microphones in smartphones and IoT devices. However, most research in this field relies on simulations or limited on-device testing, which makes the real-world reliability of proposed schemes difficult to assess. We systematically reviewed 31 acoustic communication studies for commodity devices and found that none provided accessible source code. After contacting authors and re-implementing three promising schemes, we assembled a testbed of eight representative acoustic communication systems. Using over 11 000 smartphone transmissions in both realistic indoor environments and an anechoic chamber, we provide a systematic and repeatable methodology for evaluating the reliability and generalizability of these schemes under real-world conditions. Our results show that many existing schemes face challenges in practical usage, largely due to severe multipath propagation indoors and varying audio characteristics across device models. To support future research and foster more robust evaluations, we release our re-implementations alongside the first comprehensive dataset of real-world acoustic transmissions. Overall, our findings highlight the importance of rigorous on-device testing and underscore the need for robust design strategies to bridge the gap between simulation results and reliable IoT deployments.
Authors
- Christoph Haugwitz (ORCID: https://orcid.org/0000-0001-6756-9988)
- Matthias Hollick
- Mario Kupnik (ORCID: https://orcid.org/0000-0003-2287-4481)
- Jennifer Frank
- Florentin Putz (ORCID: https://orcid.org/0000-0003-3122-7315)
- Philipp Fortmann
Institutions
- Technische Universität Darmstadt (DE)
Publication Details
- Journal
- ACM Transactions on Internet of Things
- Published
- 2025-12-09
- DOI
- https://doi.org/10.1145/3779439
- Primary Topic
- Bluetooth and Wireless Communication Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00