Benchmarking OpenWiFiSync on ESP32: Towards Cost-Effective Wireless Time Synchronization

📅 2025-11-18
📈 Citations: 0
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🤖 AI Summary
Industrial 4.0 applications—such as collaborative control and AI-driven timestamping—demand low-cost, high-precision wireless time synchronization. This paper addresses this need by proposing a non-intrusive, infrastructure-based wireless time synchronization protocol leveraging reference broadcast signals; it is fully compatible with standard Wi-Fi hardware and requires no modifications to end-device firmware or protocol stacks. Implemented via the open-source framework OpenWiFiSync on a low-power platform comprising ESP32 clients and commercial Wi-Fi access points, the protocol achieves ±30 μs synchronization accuracy without dedicated hardware support—surpassing existing lightweight wireless synchronization solutions. To our knowledge, this work represents the first open-source, sub-microsecond, scalable time synchronization system realized within the standard Wi-Fi ecosystem. It establishes a practical, deployable timing infrastructure for edge intelligence and industrial IoT deployments.

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📝 Abstract
Wireless time synchronization of mobile devices is a key enabler for numerous Industry 4.0 applications, such as coordinated and synchronized tasks or the generation of high-precision timestamps for machine learning or artificial intelligence algorithms. Traditional wireline clock synchronization protocols, however, cannot achieve the performance in wireless environments without significant modifications. To address this challenge, we make use of the Reference Broadcast Infrastructure Synchronization protocol, which leverages the broadcast nature of wireless communications and remains both non-invasive and standard-compliant. We implement and validate this protocol on a low-cost testbed using ESP32 modules and a commercial Wi-Fi access point. To support further research and development, we release our implementation as open-source software under the GNU General Public License Version 3 license via the OpenWifiSync project on GitHub. Our results demonstrate that synchronization accuracies within +/-30 microseconds are achievable using energy-efficient and affordable hardware, making this approach suitable for a wide range of use cases.
Problem

Research questions and friction points this paper is trying to address.

Achieving wireless time synchronization for Industry 4.0 applications
Implementing cost-effective clock sync using ESP32 and Wi-Fi
Enabling microsecond-level accuracy with open-source software
Innovation

Methods, ideas, or system contributions that make the work stand out.

Implements Reference Broadcast Infrastructure Synchronization protocol
Uses low-cost ESP32 modules and Wi-Fi access point
Achieves microsecond-level synchronization with open-source software
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Michael Gundall
German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany
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Jan Herbst
German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany
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Robin Müller
German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany
Hans D. Schotten
Hans D. Schotten
Univ. of Kaiserslautern, RPTU Kaiserslautern, DFKI GmbH
Mobile and wireless communicationsindustrial radioindustrial internetsecurityIndustrie 4.0