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A Distributed Consensus Algorithm For Decision Making In Service-Oriented Internet Of Things, Shancang Li, George Oikonomou, Theo Tryfonas, Thomas M. Chen, Li Da Xu

Information Technology & Decision Sciences Faculty Publications

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 …

Converging And Coexisting Systems Towards Smart Surveillance, Katina Michael, Mg Michael

Professor Katina Michael

Tracking and monitoring people as they operate within their personal networks benefits service providers and their constituents but involves hidden risks and costs.

Automatic identification technologies, CCTV cameras, pervasive and mobile networks, wearable computing, location-based services and social networks have traditionally served distinct purposes. However, we have observed patterns of integration, convergence and coexistence among all these innovations within the information and communication technology industry.1For example, ‘location-based social networking’ can draw on a smart phone's capacity to identify a user uniquely, locate him within 1–2m and share this information across his social network in real time. The resulting ability to …