Wireless Sensors Synchronization: An Accurate and Deterministic GPS-based Algorithm

Cam, Vincent Le; Bouche, Arthur; Pallier, David

doi:10.12783/shm2017/14006

Cited by 4 publications

(3 citation statements)

References 5 publications

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“…One of the most obvious methods to achieve general synchronization of network devices is the use of GPS to synchronize devices with UTC. One of the propositions was presented in [ 9 ] and later optimized in [ 10 ] by the same authors. Although the accuracy of this method is quite high, even with energy consumption optimization GPS still requires periodic uptime, and the more accurate synchronization we need the more frequent it becomes.…”

Section: Literature Reviewmentioning

confidence: 99%

Energy Minimization Algorithm for Estimation of Clock Skew and Reception Window Selection in Wireless Networks

Gorawski

Grochla

Marjasz

et al. 2021

Sensors

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The synchronization of time between devices is one of the more important and challenging problems in wireless networks. We discuss the problem of maximization of the probability of receiving a message from a device using a limited listening time window to minimize energy utilization. We propose a solution to two important problems in wireless networks of battery-powered devices: a method of establishing a connection with a device that has been disconnected from the system for a long time and developed unknown skew and also two approaches to follow-up clock synchronization using the confidence interval method. We start with the analysis of measurements of clock skew. The algorithms are evaluated using extensive simulations and we discuss the selection of parameters balancing between minimizing the energy utilization and maximizing the probability of reception of the message. We show that the selection of a time window of growing size requires less energy to receive a packet than using the same size of time window repeated multiple times. The shifting of reception windows can further decrease the energy cost if lower packet reception probability is acceptable. We also propose and evaluate an algorithm scaling the reception window size to the interval between the packet transmission.

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Section: Literature Reviewmentioning

confidence: 99%

Energy Minimization Algorithm for Estimation of Clock Skew and Reception Window Selection in Wireless Networks

Gorawski

Grochla

Marjasz

et al. 2021

Sensors

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show abstract

“…With careful guided mode selection, propagation distances of the order of 1 km is achieved, 27 and one system with eight sensors is located every 1 km along the railroad. The systems are physically disconnected and temporal synchronization is achieved by GPS 28,29 The transducer operate in pitch-catch and a break in the rail is detected as the absence of received ultrasonic signals. Collected data is sent to a remote server by 4G for data analysis.…”

Section: Introductionmentioning

confidence: 99%

Environmental impact assessment of guided wave-based structural health monitoring

Aujoux

Mesnil

2022

Structural Health Monitoring

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Guided wave-based structural health monitoring (GW-SHM) relies on permanently installed sensors to detect and monitor structural defects such as cracks or delamination. Millimeter to centimeter-sized defects are detected over areas of several square meters with sparse sensor networks installed on metallic or composite structures. So far, the main drivers of the development of such technologies have been expectations of cost savings and/or an increased safety. As monitoring requires a complex cyber physical system including, at least an energy source, sensors, data acquisition, treatment, and communication capabilities, adding monitoring capabilities to a structure leads to an intrinsic environmental impact. This paper targets for the first time the environmental assessment of GW-SHM. Such analysis being use-case dependent, two prospective applications are studied: railroad monitoring and wind turbine monitoring. A complete GW-SHM system prototype is defined to quantify its environmental impact, and exploitation scenarios are proposed to estimate the potential environmental gains provided by the monitoring. For the scenarios under consideration, the studied system is found to be either carbon neutral or carbon negative (i.e., favorable), but this result is limited to the functional units under consideration. The present study is expected to be a template for further environmental assessments of monitoring systems, which shall be conducted for each prospective application and refined often as systems mature and exploitation scenarios become clearer and exploitation data available.

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“…and has gained considerable attention over the past two decades. For these applications, inter-nodal time synchronization is a prerequisite, but the ideal time synchronization accuracy is varied depending on the target to be monitored: less than 1 s for automation monitoring, less than 1 ms for vibration, less than 1 microsecond for acoustic monitoring, and less than 1 ns for electricity or light propagation 4 . For example, if modal analysis is conducted without knowing local time information, the identified mode shape phase will be inaccurate, possibly falsely indicating structural damage.…”

mentioning

confidence: 99%

Cosmic time calibrator for wireless sensor network

Tanaka

2023

Sci Rep

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Time synchronization of sensor nodes is critical for optimal operation of wireless sensor networks (WSNs). Since clocks incorporated into each node tend to drift, recurrent corrections are required. Most of these correction schemes involve clients periodically receive RF timing signals from a time server. However, an RF-based scheme is prone to glitches or failure unless operating in a region with almost entirely unobstructed space; hence it only operates well in a limited range of environments. For example, GPS requires open-sky environments. Moreover, the precision of land-based RF schemes is limited to a few micro seconds. In this work, we report on a more versatile and new type of recurrent clock resynchronization scheme called cosmic time calibrator (CTC) and its development and testing. CTC utilizes cosmic-ray muon signals instead of RF signals. Muons are penetrative and continuously precipitating onto the Earth’s surface, and they tend to travel linearly through encountered matter at approximately the speed of light in vacuum. Therefore, muons themselves can periodically transfer the precise timing information from node to node; hence, the performance of the inter-nodal communication device such as Wi-Fi or Bluetooth is minimized/unnecessary for an online/offline WSN analysis. The experimental results have indicated that a resynchronization frequency and precision of 60 Hz and ± 4.3 ns (S.D.) can be achieved. Modelling work of the WSN-based structural health monitoring of aerospace structures has shown that CTC can contribute to the development of new critical and useful applications of WSN in a wider range of environments.

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Wireless Sensors Synchronization: An Accurate and Deterministic GPS-based Algorithm

Cited by 4 publications

References 5 publications

Energy Minimization Algorithm for Estimation of Clock Skew and Reception Window Selection in Wireless Networks

Energy Minimization Algorithm for Estimation of Clock Skew and Reception Window Selection in Wireless Networks

Environmental impact assessment of guided wave-based structural health monitoring

Cosmic time calibrator for wireless sensor network

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