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Twist-n-Sync: Software Clock Synchronization with Microseconds Accuracy Using MEMS-Gyroscopes.
Marsel Faizullin1, Anastasiia Kornilova1, Azat Akhmetyanov1,2
1Skolkovo Institute of Science and Technology, 121205 Moscow, Russia.
Sensors (Basel, Switzerland)
|December 30, 2020
Summary
This study introduces a novel gyroscope-based software clock synchronization method for sensor networks. It achieves stable microsecond accuracy, overcoming limitations of traditional Network Time Protocol (NTP) synchronization.
Area of Science:
- Computer Science
- Electrical Engineering
- Robotics
Background:
- Accurate time synchronization is crucial for sensor networks, impacting applications like multi-camera systems and GPS mapping.
- Existing Network Time Protocol (NTP) methods offer accuracy but suffer from environmental and network load-dependent variance.
- Time misalignment in sensor networks leads to significant data artifacts and reduced application performance.
Purpose of the Study:
- To develop a precise software clock synchronization technique for rigidly attached devices within a sensor network.
- To leverage high-rate gyroscope (IMU) data for efficient and accurate time synchronization.
- To provide a robust synchronization solution independent of network conditions and sensor count.
Main Methods:
- Utilizing gyroscope (IMU) sensor data for high-rate measurements.
- Applying optimization techniques to the correlation signal of IMU data across a network of sensors.
- Implementing and evaluating the synchronization method in a controlled environment and a smartphone sensor network.
Main Results:
- Achieved stable microsecond-level accuracy in software clock synchronization.
- Demonstrated robustness of the method irrespective of the number of sensors or network conditions.
- Validated performance through an open-source Android application, Twist-n-Sync.
Conclusions:
- The proposed gyroscope-based synchronization method offers a precise and stable alternative to NTP for sensor networks.
- This technique effectively mitigates time misalignment issues in applications requiring high temporal accuracy.
- The open-source implementation facilitates practical adoption and further research in sensor network synchronization.
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