The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A distributed consensus protocol for clock synchronization in wireless sensor network
Open accessAbstract
This paper describes a novel consensus-based protocol, referred as Average TimeSync (ATS), for synchronizing a wireless sensor. This algorithm is based on a class of popular distributed algorithms known as consensus, agreement, gossip or rendezvous whose main idea is averaging local information. The proposed algorithm has three main features. Firstly, it is fully distributed and therefore robust to node failure and to new node appearance. Secondly, it compensates for clock skew differences among nodes, thus maintaining the network synchronized for longer periods than using simple clock offset compensation. Finally, it is computationally lite as it involves only simple sum/product operations. The algorithm has been implemented and preliminary experimental results are provided.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Consensus and Cooperation in Networked Multi-Agent Systems
Olfati-Saber, R., Fax, J. A., & Murray, R. M. (2007) · Proceedings of the IEEE · doi:10.1109/jproc.2006.887293 · Cited by 10,522
Cited by
A survey of blockchain consensus algorithms performance evaluation criteria
Bamakan, S. M. H., Motavali, A., & Babaei Bondarti, A. (2020) · Expert Systems with Applications · doi:10.1016/j.eswa.2020.113385 · Cited by 481
Average TimeSynch: A consensus-based protocol for clock synchronization in wireless sensor networks
Schenato, L., & Fiorentin, F. (2011) · Automatica · doi:10.1016/j.automatica.2011.06.012 · Cited by 450
Self-citation
Metadata
- Authors
- Schenato, L., & Gamba, G.
- Venue
- 2007 46th IEEE Conference on Decision and Control
- Publisher
- IEEE
- Published
- 2007
- Pages
- 2289-2294
- ISSN
- 0191-2216 (ISSN-L)
- OpenAlex
- W2124411500
- Cited by
- 224
- References
- 1
- FWCI
- 6.73
- Type
- conference paper
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A distributed consensus protocol for clock synchronization in wireless sensor network. https://app.cochat.ai/papers/10.1109/cdc.2007.4434671
- The paper
- Schenato, L., & Gamba, G. (2007). A distributed consensus protocol for clock synchronization in wireless sensor network. 2007 46th IEEE Conference on Decision and Control. https://doi.org/10.1109/cdc.2007.4434671
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.