Document Type

Article

Publication Date

2014

DOI

10.1109/tii.2014.2306331

Publication Title

IEEE Transactions on Industrial Informatics

Volume

10

Issue

2

Pages

1461-1468

Abstract

In a service-oriented Internet of things (IoT) deployment, it is difficult to make consensus decisions for services at different IoT edge nodes where available information might be insufficient or overloaded. Existing statistical methods attempt to resolve the inconsistency, which requires adequate information to make decisions. Distributed consensus decision making (CDM) methods can provide an efficient and reliable means of synthesizing information by using a wider range of information than existing statistical methods. In this paper, we first discuss service composition for the IoT by minimizing the multi-parameter dependent matching value. Subsequently, a cluster-based distributed algorithm is proposed, whereby consensuses are first calculated locally and subsequently combined in an iterative fashion to reach global consensus. The distributed consensus method improves the robustness and trustiness of the decision process.

Comments

NOTE: This is the author's post-print version of a work that was published in IEEE Transactions on Industrial Informatics. The final version was published as:

Li, S. C., Oikonomou, G., Tryfonas, T., Chen, T. M., & Xu, L. D. (2014). A distributed consensus algorithm for decision making in service-oriented internet of things. IEEE Transactions on Industrial Informatics, 10(2), 1461-1468. doi:10.1109/tii.2014.2306331

Available at: http://dx.doi.org/10.1109/tii.2014.2306331

Original Publication Citation

Li, S. C., Oikonomou, G., Tryfonas, T., Chen, T. M., & Xu, L. D. (2014). A distributed consensus algorithm for decision making in service-oriented internet of things. IEEE Transactions on Industrial Informatics, 10(2), 1461-1468. doi:10.1109/tii.2014.2306331

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