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Journal ArticleDOI

Ratio-based time synchronization protocol in wireless sensor networks

TLDR
The proposed protocol estimates the clock drift between two nodes to keep them synchronized for duration after once synchronizing and establishes more robust synchronization situations for all nodes in the network by periodical re-synchronization.
Abstract
Time synchronization plays a key role in the wireless sensor networks (WSNs). Time synchronization is realized by those messages that are time-stamped. But there are several delay times during transmission after time stamping. Most of them are uncertain and contribute directly to synchronization error. The uncertainties include send time, channel access time, transmission time, and receive time. In addition to the uncertainties, clock drift is also a main source of time synchronization error. In this paper, we present a time synchronization protocol that can be applied in the multi-hop WSNs. The proposed protocol estimates the clock drift between two nodes to keep them synchronized for duration after once synchronizing. It uses lower communication overhead and establishes more robust synchronization situations for all nodes in the network. By periodical re-synchronization, the un-synchronization conditions such as nodes failures or topology change can be easily overcome. We implement our protocol in the Berkeley MICAz platform. The experimenting scenarios are 5-node and 18-node multi-hop topologies, and the re-synchronization periods are 30-second and 300-second. The experiment results show that the average synchronization errors of all nodes run with our protocol are ranged within several micro-seconds which are better than the previous protocol.

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Citations
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Journal ArticleDOI

Long term and large scale time synchronization in wireless sensor networks

TL;DR: Theoretical analysis and simulation results show that when the synchronization period is less than 100s, the error of 2LTSP is within 0.6ms, no matter how large the size of the network is, even for large-scale and long-term running networks.
Journal ArticleDOI

A Synchronous TDMA Ultrasonic TOF Measurement System for Low-Power Wireless Sensor Networks

TL;DR: Experimental evaluation of the design and evaluation of an ultrasonic time-of-flight (TOF) measurement system in the context of a smart sensor wireless network demonstrates that TOF accuracies better than 2 μs are achievable, which will be more than adequate for achieving subcentimetric or even submillimetric precisions in ultrasound-TOF-based distance measurement systems.
Journal ArticleDOI

Message Passing Based Time Synchronization in Wireless Sensor Networks: A Survey:

TL;DR: This paper first classify Message Passing based Time Synchronization (MPTS) protocols and then analyze them based on different metrics, and some potential methods will be proposed to improve the synchronization process.
Posted Content

A Beaconless Asymmetric Energy-Efficient Time Synchronization Scheme for Resource-Constrained Multi-Hop Wireless Sensor Networks

TL;DR: A framework of reverse asymmetric time synchronization for resource-constrained multi-hop WSNs and a beaconless energy-efficient time synchronization scheme based on reverse one-way message dissemination are introduced.
Journal ArticleDOI

A Beaconless Asymmetric Energy-Efficient Time Synchronization Scheme for Resource-Constrained Multi-Hop Wireless Sensor Networks

TL;DR: In this paper, the authors introduce a framework of reverse asymmetric time synchronization for resource-constrained multi-hop WSNs and propose a beaconless energy-efficient time synchronization scheme based on reverse one-way message dissemination.
References
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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.
Journal Article

Time synchronization in wireless sensor networks

TL;DR: In this article, a service model for time synchronization is proposed to better support the broad range of application requirements seen in sensor networks, while meeting the unique resource constraints found in such systems.
Journal ArticleDOI

Clock Synchronization in Distributed Real-Time Systems

TL;DR: Depending on the types and number of tolerated faults, this paper presents upper bounds on the achievable synchronization accuracy for external and internal synchronization in a distributed real-time system.