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arXiv 2602.02249cs.NIcs.SD
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评估用于附近智能设备间即需通信的声学数据传输方案

Evaluating Acoustic Data Transmission Schemes for Ad-Hoc Communication Between Nearby Smart Devices

Technical University of Darmstadt(达姆施塔特技术大学)

Florentin Putz, Philipp Fortmann, Jan Frank, Christoph Haugwitz, Mario Kupnik, Matthias Hollick

AI总结:

本文评估了多种声学数据传输方案的可靠性,通过实测发现现有方案在现实环境中面临多径传播等挑战,并发布了重新实现的方案和首个现实世界数据集。

摘要:

声学数据传输通过利用智能手机和物联网设备中普遍存在的扬声器和麦克风,为蓝牙和NFC提供了一个有吸引力的替代方案。然而,该领域大多数研究依赖于模拟或有限的设备端测试,这使得所提出方案在现实世界中的可靠性难以评估。我们系统地回顾了31项针对商用设备的声学通信研究,发现没有提供可访问的源代码。在联系作者并重新实现三种有前途的方案后,我们组装了一个包含八种代表性声学通信系统的测试平台。在现实室环境和消声室中使用超过11000次智能手机传输,我们提供了一种系统且可重复的方法来评估这些方案在现实条件下的可靠性和通用性。我们的结果表明,许多现有方案在实际使用中面临挑战,这主要是由于室内严重的多径传播和不同设备型号之间的音频特性变化。为了支持未来研究并促进更稳健的评估,我们发布了我们的重新实现以及首个全面的现实世界声学传输数据集。总体而言,我们的发现突显了严格设备端测试的重要性,并强调了需要稳健的设计策略来弥合模拟结果与可靠物联网部署之间的差距。

英文摘要:

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 11000 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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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