Towards a ranking approach for sensor services using primitive cognitive network process

Abstracting sensor capabilities as services is a promising approach to support interoperability and scalability in Internet of Things based applications; however, ranking and selecting these dynamic and large number of real-world services in real-time is a challenging problem, which involves decision making in the presence of multiple criteria. This paper demonstrates an application of the Primitive Cognitive Network Process (P-CNP) to the sensor service ranking with respect to multiple Quality-of-Service criteria.