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A distributed consensus algorithm for decision making in service-oriented internet of things

Li, Shancang; Oikonomou, George; Tryfonas, Theo; Chen, Thomas M.; Xu, Li Da

Authors

Shancang Li Shancang.Li@uwe.ac.uk
Senior Lecturer in Computer Forensics and Security

George Oikonomou

Theo Tryfonas

Thomas M. Chen

Li Da Xu



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. © 2012 IEEE.

Citation

Li, S., 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. https://doi.org/10.1109/TII.2014.2306331

Journal Article Type Article
Acceptance Date Jan 28, 2014
Publication Date Jan 1, 2014
Deposit Date Sep 23, 2016
Journal IEEE Transactions on Industrial Informatics
Print ISSN 1551-3203
Publisher Institute of Electrical and Electronics Engineers
Peer Reviewed Peer Reviewed
Volume 10
Issue 2
Pages 1461-1468
DOI https://doi.org/10.1109/TII.2014.2306331
Keywords distributed consensus algorithms, Internet of
things (IoT), networks
Public URL https://uwe-repository.worktribe.com/output/825365
Publisher URL http://dx.doi.org/10.1109/TII.2014.2306331