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Recent Advances in Tactile Sensing Technology
Open AccessArticle

Development of a Sensor Network System with High Sampling Rate Based on Highly Accurate Simultaneous Synchronization of Clock and Data Acquisition and Experimental Verification

1
Institute of Industrial Science, The University of Tokyo, Tokyo 153-8505, Japan
2
Graduate School of Information Technology and Science, The University of Tokyo, Tokyo 113-8656, Japan
3
Faculty of Science and Engineering, Nanzan University, Aichi 466-8673, Japan
*
Author to whom correspondence should be addressed.
This paper is an extended version of our papers published in Y. Yamakawa, A. Noda, M. Ishikawa and M. Shimojo, Integration of High-speed Visual and Tactile Sensors with Synchronization in a Sensor Network System, In Proceedings of the IEEE SENSORS 2016, Orlando, FL, USA, 30 October–2 November 2016; pp. 1703–1705.
Micromachines 2018, 9(7), 325; https://doi.org/10.3390/mi9070325
Received: 30 April 2018 / Revised: 21 June 2018 / Accepted: 25 June 2018 / Published: 27 June 2018
(This article belongs to the Special Issue Tactile Sensing for Soft Robotics and Wearables)
In this paper, we develop a new sensor network system with a high sampling rate (over 500 Hz) based on the simultaneous synchronization of clock and data acquisition for integrating the data obtained from various sensors. Hence, we also propose a method for the synchronization of clock and data acquisition in the sensor network system. In the proposed scheme, multiple sensor nodes including PCs are connected via Ethernet for data communication and for clock synchronization. The timing of the data acquisition of each sensor is locally controlled based on the PC’s clock locally provided in the node, and the clocks are globally synchronized over the network. We construct three types of high-speed sensor network systems using the proposed method: the first one is composed of a high-speed tactile sensor node and a high-speed vision node; the second one is composed of a high-speed tactile sensor node and three acceleration sensor nodes; and the last one is composed of a high-speed tactile sensor node, two acceleration sensor nodes, and a gyro sensor node. Through experiments, we verify that the timing error between the sensor nodes for data acquisition is less than 15 μs, which is significantly smaller than the time interval of 2 ms or a shorter sampling time (less than 2 ms). We also confirm the effectiveness of the proposed method and it is expected that the system can be applied to various applications. View Full-Text
Keywords: sensor network system; simultaneous synchronization of clock and data acquisition; high-speed tactile sensor; high-speed vision sensor network system; simultaneous synchronization of clock and data acquisition; high-speed tactile sensor; high-speed vision
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Yamakawa, Y.; Matsui, Y.; Noda, A.; Ishikawa, M.; Shimojo, M. Development of a Sensor Network System with High Sampling Rate Based on Highly Accurate Simultaneous Synchronization of Clock and Data Acquisition and Experimental Verification . Micromachines 2018, 9, 325.

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