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.
To make consensus decisions for services in a service-oriented IoT environment, the authors explore the challenge of the IoT service composition through minimizing the multi-parameter dependent matching value, and propose a cluster-based distributed algorithm for supporting the global consensus decision making, where robustness and trustiness are factors to be considered REF .
A Distributed Consensus Algorithm for Decision Making in Service-Oriented Internet of Things
IEEE Transactions on Industrial Informatics
IEEE Transactions on Industrial Informatics
Computer Science