A Distributed Consensus Algorithm for Decision Making in Service-Oriented Internet of Things

被引：89

作者：

Li, Shancang ^{[1
]}

Oikonomou, George ^{[1
]}

Tryfonas, Theo ^{[1
]}

Chen, Thomas M. ^{[2
]}

Xu, Li Da ^{[3
,4
,5
,6
]}

机构：

[1] Univ Bristol, Fac Engn, Bristol BS8 1TR, Avon, England

[2] City Univ London, Sch Engn & Math Sci, London EC1V 0HB, England

[3] Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China

[4] Shanghai Jiao Tong Univ, Shanghai 200030, Peoples R China

[5] Univ Sci & Technol China, Hefei 230026, Peoples R China

[6] Old Dominion Univ, Norfolk, VA 23529 USA

来源：

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS | 2014年 / 10卷 / 02期

关键词：

Distributed consensus algorithms; Internet of things (IoT); networks; OPTIMIZATION; ARCHITECTURE; INTEGRATION;

D O I：

10.1109/TII.2014.2306331

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：1461 / 1468

页数：8

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