The DOI matches its Crossref record.
Distributed Collaborative Control for Industrial Automation With Wireless Sensor and Actuator Networks
Abstract
Wireless sensor and actuator networks (WSANs) bring many benefits to industrial automation systems. When a control system is integrated by a WSAN, and particularly if the network scale is large, distributed communication and control methods are quite necessary. However, unreliable wireless and multihop communications among sensors and actuators cause challenges in designing such systems. This paper proposes and evaluates a new distributed estimation and collaborative control scheme for industrial control systems with WSANs. Extensive results show that the proposed method effectively achieves control objectives and maintains robust against inaccurate system parameters. We also discuss how to dynamically extend the scale of a WSAN with only local adjustments of sensors and actuators.
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
Cited by
Shen, Q., Jiang, B., Shi, P., & Zhao, J. (2014) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2013.2260757 · Cited by 346
Narrowband Internet of Things: Implementations and Applications
Chen, J., Hu, K., Wang, Q., Sun, Y., Shi, Z., & He, S. (2017) · IEEE Internet of Things Journal · doi:10.1109/jiot.2017.2764475 · Cited by 292
Self-citationComparative Examination on Architecture and Protocol of Industrial Wireless Sensor Network Standards
Wang, Q., & Jiang, J. (2016) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2016.2548360 · Cited by 182
Metadata
- Authors
- Chen, J., Cao, X., Cheng, P., Xiao, Y., & Sun, Y.
- Venue
- IEEE Transactions on Industrial Electronics
- Published
- 2010-12
- Volume
- 57
- Issue
- 12
- Pages
- 4219-4230
- ISSN
- 0278-0046 (ISSN-L)
- OpenAlex
- W2117450598
- Cited by
- 295
- References
- 0
- FWCI
- 30.27
- Type
- journal article
- Language
- en
- Open access
- closed
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: Distributed Collaborative Control for Industrial Automation With Wireless Sensor and Actuator Networks. https://app.cochat.ai/papers/10.1109/tie.2010.2043038
- The paper
- Chen, J., Cao, X., Cheng, P., Xiao, Y., & Sun, Y. (2010). Distributed Collaborative Control for Industrial Automation With Wireless Sensor and Actuator Networks. IEEE Transactions on Industrial Electronics. https://doi.org/10.1109/tie.2010.2043038
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.