Distributed Ultra-Precise Time-Synchronization with Minimized Synchronization Data Traffic

Most modern systems require some form precise time and frequency synchronization, and the demand for more precise solutions is further increasing. Smart manufacturing will likely incorporate wireless sensor networks in the future to serve various purposes, such as sensing, localization, and communication. Managing a variety of tasks within such a network necessitates synchronization to enhance efficiency. Additionally, runtime-based localization schemes, such as Time Difference of Arrival (TDoA), rely heavily on precise time synchronization for their accuracy. This paper proposes an extension of a synchronization scheme using so-called Signals of Opportunity (SoO). Currently, a significant amount of data must be exchanged between the base stations in a network to achieve precise synchronization. For reducing the required data rates, our proposed system utilizes only the outer frequencies of the SoO for synchronization. We demonstrate that using only parts of the bandwidth still results in precise estimates for time and frequency errors. Additionally, we present measurement results for the proposed scheme and confirm that the synchronization precision remains high, despite the omission of large portions of the SoO.

Authors

Institutions

Publication Details

Published
2024-10-14
DOI
https://doi.org/10.1109/ipin62893.2024.10786114
Citations
2
Primary Topic
Network Time Synchronization Technologies
Type
article
Field-Weighted Citation Impact
0.70
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Distributed Ultra-Precise Time-Synchronization with Minimized Synchronization Data Traffic

Joerg Robert, Thomas Maul, Sebastian Klob
2 citations
Network Time Synchronization Technologies
0.70
article

Distributed Ultra-Precise Time-Synchronization with Minimized Synchronization Data Traffic

Joerg Robert, Thomas Maul, Sebastian Klob
article en
2 citations

Abstract

Most modern systems require some form precise time and frequency synchronization, and the demand for more precise solutions is further increasing. Smart manufacturing will likely incorporate wireless sensor networks in the future to serve various purposes, such as sensing, localization, and communication. Managing a variety of tasks within such a network necessitates synchronization to enhance efficiency. Additionally, runtime-based localization schemes, such as Time Difference of Arrival (TDoA), rely heavily on precise time synchronization for their accuracy. This paper proposes an extension of a synchronization scheme using so-called Signals of Opportunity (SoO). Currently, a significant amount of data must be exchanged between the base stations in a network to achieve precise synchronization. For reducing the required data rates, our proposed system utilizes only the outer frequencies of the SoO for synchronization. We demonstrate that using only parts of the bandwidth still results in precise estimates for time and frequency errors. Additionally, we present measurement results for the proposed scheme and confirm that the synchronization precision remains high, despite the omission of large portions of the SoO.

Technische Universität Ilmenau (DE), Friedrich-Alexander-Universität Erlangen-Nürnberg (DE)
Openalex Percentile: Top 26%
Network Time Synchronization Technologies
0.70
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Distributed Ultra-Precise Time-Synchronization with Minimized Synchronization Data Traffic — Joerg Robert, Thomas Maul, et al. · (2024) | TGRS Research Map | TGRS