Light-Sync: A low overhead synchronization algorithm for underwater acoustic networks

Zennaro, Davide; Tomasi, Béatrice; Vangelista, Lorenzo; Zorzi, Michele

doi:10.1109/oceans-yeosu.2012.6263491

Cited by 9 publications

(7 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Unsynchronized nodes in their communication range timestamp the local time t (B) at which it receives the messages from node A. The local time [33] of node B can be written as…”

Section: Single-way Communication Scheme Under the Gmm Noise Modelmentioning

confidence: 99%

Energy-Efficient Time Synchronization Based on Nonlinear Clock Skew Tracking for Underwater Acoustic Networks

Liu

Zhu

et al. 2021

Sensors

View full text Add to dashboard Cite

Time synchronization plays an important role in the scheduling and position technologies of sensor nodes in underwater acoustic networks (UANs). The time synchronization (TS) algorithms face challenges such as high requirements of energy efficiency, the estimation accuracy of the time-varying clock skew and the suppression of the impulsive noise. To achieve accurate time synchronization for UANs, an energy-efficient TS method based on nonlinear clock skew tracking (NCST) is proposed. First, based on the sea trial temperature data and the crystal oscillators’ temperature–frequency characteristics, a nonlinear model is established to characterize the dynamic of clock skews. Second, a single-way communication scheme based on a receiver-only (RO) paradigm is used in the NCST-TS to save limited energy. Meanwhile, impulsive noises are considered during the communication process and the Gaussian mixture model (GMM) is employed to fit receiving timestamp errors caused by non-Gaussian noise. To combat the nonlinear and non-Gaussian problem, the particle filter (PF)-based algorithm is used to track the time-varying clock state and an accurate posterior probability density function under the GMM error model is also given in PF. The simulation results show that under the GMM error model, the accumulative Root Mean Square Errors (RMSE) of NCST-TS can be reduced from 10−4 s to 10−5 s compared with existing protocols. It also outperforms the other TS algorithms in the aspect of energy efficiency.

show abstract

“…Unsynchronized nodes in their communication range timestamp the local time t (B) at which it receives the messages from node A. The local time [33] of node B can be written as…”

Section: Single-way Communication Scheme Under the Gmm Noise Modelmentioning

confidence: 99%

Energy-Efficient Time Synchronization Based on Nonlinear Clock Skew Tracking for Underwater Acoustic Networks

Liu

Zhu

et al. 2021

Sensors

View full text Add to dashboard Cite

show abstract

“…When both positioning and timesynchronization is required, a combined approach is generally better. Approaches which attempt to minimize the communication overhead of time-synchronization, such as [24], sometimes assume the position of sensors are known. However in our view this marginalizes the overhead of localization and overhead of both aspects should be considered to evaluate the overhead of the whole system.…”

Section: Localization and Time-synchronizationmentioning

confidence: 99%

Echoes from the deep : communication scheduling, localization and time-synchronization in underwater acoustic sensor networks

Kleunen¹

View full text Add to dashboard Cite

“…Actualmente, existen diversos trabajos de investigación en la sincronización de tiempo en redes submarinas de sensores inalámbricos, para esto se encontraron algunos de algoritmos como los citados en [2][3][4][5][6][7][8]. En [2], se utiliza un protocolo en encaminamiento geográfico que ayuda a la sincronización y adicionalmente a la ubicación de nodos.…”

Section: Capítulo 7 Conclusionesunclassified

“…Forwarding) [10]. Para la sincronización de nodos submarinos también existen algoritmos como los citados en [2][3][4][5][6][7][8], los cuales también serán analizados posteriormente.…”

Light-Sync: A low overhead synchronization algorithm for underwater acoustic networks

Cited by 9 publications

References 11 publications

Energy-Efficient Time Synchronization Based on Nonlinear Clock Skew Tracking for Underwater Acoustic Networks

Energy-Efficient Time Synchronization Based on Nonlinear Clock Skew Tracking for Underwater Acoustic Networks

Echoes from the deep : communication scheduling, localization and time-synchronization in underwater acoustic sensor networks

Sincronización de tiempo en redes submarinas de sensores inalámbricos

Contact Info

Product

Resources

About