Journal ArticleDOI
Least Squares-Based Estimation of Relative Clock Offset and Frequency in Sensor Networks with High Latency
TLDR
This work proposes, study, and demonstrates the effectiveness of several alternative least squares-based estimators for Time Synchronization for High Latency (TSHL), and seeks to improve the accuracy of TSHL.Abstract:
Accurate clock synchronization is essential in the operation of Sensor Networks. Algorithms for clock synchronization generally rely on estimators of the relative offset and frequency of two different clocks. Sensor Networks have limited power resources so it is important that these estimators not be too computationally intensive. For this reason a number of least squares-based estimators have been proposed, however they are not appropriate for sensor networks with significant propagation latency. For these applications, the Time Synchronization for High Latency (TSHL) protocol was developed. We seek to improve the accuracy of TSHL and thus propose, study, and demonstrate the effectiveness of several alternative least squares-based estimators.read more
Citations
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Journal ArticleDOI
An Overview of a Class of Clock Synchronization Algorithms for Wireless Sensor Networks: A Statistical Signal Processing Perspective
TL;DR: An overview of the state-of-the-art clock synchronization algorithms for WSNs from a statistical signal processing point of view is provided and a list of open research problems pertaining to clock synchronization of W SNs is concluded.
Journal ArticleDOI
Precise relative clock synchronization for distributed control using TSC registers
TL;DR: In this paper, the authors present a Time Stamp Counter based precise relative clock synchronization protocol (TSC-RCSP) for distributed control applications operating over local-area networks (LANs).
Proceedings ArticleDOI
Time Synchronization for Underwater Cellular Networks
Sumin Jeong,Suk Kim +1 more
TL;DR: The Time Synchronization for Underwater Cellular Networks (TSUC) confirms really comparable accuracy with TSHL but much simpler in skew estimation, and can reduce latency in re-synchronization.
Journal ArticleDOI
Low-complexity time synchronisation for 3-dimensional underwater communications environment using estimated instantaneous node velocity
Sumin Jeong,Suk Kim +1 more
TL;DR: It is supposed that mobile nodes could know their instantaneous speeds when they receive the synchronising messages, and the method, Low-complexity time synchronisation for 3-dimensional underwater communications environment using estimated instantaneous node velocity based (V-Sync), shows high accuracy with low complexity and short processing latency.
Proceedings ArticleDOI
Genetic Based Time Synchronization Optimize Algorithm for Wireless Sensor Networks
TL;DR: A genetic based time synchronization optimize algorithm is proposed that first generated the nondeterministic transmitting delay and then adopted the genetic algorithm to simulating these delays, and shows that the synchronization precision could be improved.
References
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Book
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TL;DR: In this paper, the authors propose a simple linear regression model with variable selection and multicollinearity for robust regression, and validate the model using regression analysis and validation of regression models.
Journal ArticleDOI
Fine-grained network time synchronization using reference broadcasts
TL;DR: Reference Broadcast Synchronization (RBS) as discussed by the authors is a scheme in which nodes send reference beacons to their neighbors using physical-layer broadcasts, and receivers use their arrival time as a point of reference for comparing their clocks.
Proceedings ArticleDOI
The flooding time synchronization protocol
TL;DR: The FTSP achieves its robustness by utilizing periodic flooding of synchronization messages, and implicit dynamic topology update and comprehensive error compensation including clock skew estimation, which is markedly better than that of the existing RBS and TPSN algorithms.
Proceedings ArticleDOI
Timing-sync protocol for sensor networks
TL;DR: It is argued that TPSN roughly gives a 2x better performance as compared to Reference Broadcast Synchronization (RBS) and verify this by implementing RBS on motes and use simulations to verify its accuracy over large-scale networks.