Action Patterns Probing for Dynamic Service Composition in Home Network

The concept of a smart home has been discussed in recent years. The major purpose is to make life more convenient, safe, and fun in various areas, including home automation, security, entertainment, and so on. In order to automate the interactions between the home users and devices or even between devices, the prediction of the home user’s actions and the integration of devices are very important. The UPnP Device Architecture defines the protocols for communication between the UPnP control point and devices. Exploiting UPnP techniques, home users can easily control intelligent devices through the control point. However, UPnP devices lack a composition mechanism to complete a novel application or value-added service.In this paper, an action patterns probing algorithm is proposed. We propose a dynamic service composition system which coordinates the primitive UPnP services at home. We can predict the action and the data flow with satisfactory accuracy. At first, we define data type ontology for UPnP devices to describe their service interfaces. Afterwards, the interface matching mechanism is employed to construct a service graph that describes which services can be composed together. And we have to analyze the record of user’s actions by using the service graph. Finally, we can find the devices which can be composed and worked together in common use. These devices can be composed dynamically by user’s habits and can be automated by our mechanism.