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

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.

• 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
• Contract Date: Sep 23, 2016