Organizing Context Information Processing in Dynamic Wireless Sensor Networks

This paper presents the e-SENSE middleware architecture for distributed processing of context information in dynamic wireless sensor networks. At the lower layer, sensor nodes organize into clusters spontaneously based on shared context. These clusters form the basis for the service-oriented processing layer, where the functionality of the sensor network is expressed using service task graphs supporting distributed execution of applications. The higher layer is responsible for complex context inference and recognition. As a concrete example we evaluate the distributed recognition of human activities in a car assembly process.