Authors
Shancang Li, George Oikonomou, Theo Tryfonas, Thomas Chen, Li Da Xu
Publication date
2014/5
Journal
Industrial Informatics, IEEE Transactions on
Volume
10
Issue
2
Pages
1461-1468
Publisher
IEEE
Description
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 …
Total citations
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Scholar articles
S Li, G Oikonomou, T Tryfonas, TM Chen, L Da Xu - IEEE Transactions on Industrial Informatics, 2014