S. Li, G. Oikonomou, T. Tryfonas, T. Chen, L. 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 firstly 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.
Reference:
S. Li, G. Oikonomou, T. Tryfonas, T. Chen, L. Xu, "A distributed consensus algorithm for decision-making in service-oriented Internet of Things", Transactions on Industrial Informatics, IEEE, 10(2), pp. 1461-1468, 2014
Bibtex Entry:
@ARTICLE{Li-2014-tii,
	author = {Shancang Li and George Oikonomou and Theo Tryfonas and Thomas Chen and Li Xu},
	title = {A distributed consensus algorithm for decision-making in service-oriented Internet of Things},
	journal = {Transactions on Industrial Informatics},
	volume = {10},
	number = {2},
	pages = {1461--1468},
	year = {2014},
	publisher = {IEEE},
	doi = {10.1109/TII.2014.2306331},
  gsid = {12827813065240277184},
	url = {http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6740862},
	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 firstly 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.}
}
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A distributed consensus algorithm for decision-making in service-oriented Internet of Things