Problem
Research questions and friction points this paper is trying to address.
time synchronization
IoT systems
wireless timer
multiprotocol
nanosecond accuracy
Multiprotocol Wireless Timer Synchronization for IoT Systems
🤖 AI Summary
This work addresses the challenge of achieving high-precision time synchronization in multi-protocol wireless IoT nodes, which is hindered by uncertain transmission delays, tight coupling with upper-layer retransmission mechanisms, and insufficient synchronization accuracy. The authors propose a protocol-agnostic synchronization method that leverages precise timestamped beacons and hardware-timed RF events in a dedicated radio mode, effectively decoupling synchronization from higher-layer communication protocols. This approach overcomes conventional limitations, attaining approximately 20 ns latency when the communication stack is inactive and maintaining sub-500 ns synchronization accuracy under typical BLE traffic. Optimal performance is achieved at a synchronization frequency of 1000 Hz, with enhanced efficacy under large connection intervals, low throughput, and high RSSI conditions, making it well-suited for resource-constrained, multi-protocol IoT devices.
📝 Abstract
Accurate time synchronization is essential for Internet of Things (IoT) systems, where multiple distributed nodes must share a common time base for coordinated sensing and data fusion. However, conventional synchronization approaches suffer from nondeterministic transmission latency, limited precision, or restricted bidirectional functionality. This paper presents a protocol-independent wireless timer synchronization method that exploits radio timeslots to transmit precisely timestamped beacons in a proprietary radio mode. By decoupling synchronization from upper-layer packet retransmissions and leveraging hardware-timed radio events, the proposed approach significantly reduces scheduling uncertainty and achieves nanosecond-level synchronization accuracy. Comprehensive experiments evaluate the impacts of synchronization frequency, RSSI, BLE connection interval, and throughput on synchronization performance. The results demonstrate that an optimal synchronization frequency of 1000 Hz yields an approximately 20 ns delay in the absence of communication stack activity while maintaining sub-500 ns accuracy under most realistic BLE traffic conditions. Furthermore, larger connection intervals, lower application throughput, and higher RSSI consistently improve synchronization quality by reducing radio resource contention and packet loss. The proposed scheme provides a general and high-precision synchronization solution suitable for resource-constrained IoT systems.
Innovation
Methods, ideas, or system contributions that make the work stand out.
protocol-independent synchronization
hardware-timed radio events
nanosecond-level accuracy
IoT time synchronization
timestamped beacons
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