Feng, Zonghao, Liu, Shuohan, Shi, Huiling, Zhang, Xu
ORCID: https://orcid.org/0000-0001-6557-6607, Fang, Hongji and Xi, Yongke
(2026)
Queue-Sync: A Queue-Aware Delay-Compensated Time Synchronization Framework for High-Dynamic V2X Networks.
Proceedings of the International Conference on Computer Supported Cooperative Work in Design, CSCWD (2026).
pp. 969-974.
ISSN 2835-639X
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Abstract
Vehicle-to-Everything (V2X) systems that support cooperative perception and control require precise network-wide time synchronization. In dense traffic, however, existing schemes often decouple synchronization from communication delay. As a result, rapidly varying uplink queueing delays remain uncompensated and introduce persistent asymmetric bias that degrades synchronization accuracy. To address this issue, we have proposed Queue-Sync, a delay-compensated time synchronization framework for a Cloud-RSU-EV (CRE) architecture. Queue-Sync consists of a roadside Dynamic Delay Prediction Module (DPM) and an on-vehicle Delay-Compensated Synchronization Module (DCM). The DPM combines an M/M/1 queueing model with an adaptive extended Kalman filter (AEKF) to estimate the uplink arrival rate and queueing delay online. The DCM performs asymmetric timestamp-based synchronization. It injects the predicted delay into the offset calculation for feedforward compensation, and feeds back the measured round-trip time (RTT) to calibrate the DPM. Based on an extended fine-grained clock model, simulation results show that Queue-Sync consistently yields a lower average synchronization error compared to baseline schemes. This improvement holds under different synchronization intervals and traffic densities. It achieves a smoother convergence and more stable clock synchronization performance at the cost of a modest increase in synchronization message overhead.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | delay compensation,extended kalman filter,queueing delay,time synchronization,vehicle-to-everything (v2x),modelling and simulation,computer vision and pattern recognition,computer networks and communications,computer graphics and computer-aided design,control and optimization,artificial intelligence ,/dk/atira/pure/subjectarea/asjc/2600/2611 |
| Faculty \ School: | Faculty of Science > School of Computing Sciences |
| Related URLs: | |
| Depositing User: | LivePure Connector |
| Date Deposited: | 17 Sep 2026 09:23 |
| Last Modified: | 20 Sep 2026 05:26 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/104572 |
| DOI: | 10.1109/CSCWD68734.2026.11582209 |
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