A Hierarchical Architecture for Semantic Sensing Information Representation

Wireless sensor networks are used in various applications in several domains for measuring and determining physical phenomena and natural events. Wireless sensor networks can support to observe characteristics of physical objects and features of natural incidents. This paper proposes a hierarchical architecture of semantic information for heterogeneous sensor data representation in vehicle. This architecture includes 5 layers which have a physical layer, an event layer, a semantic layer, an awareness layer, and service layer. This architecture provides various real-time sensing data such as velocity, acceleration, temperature and steering wheel position in vehicles. Information of this architecture supports to detect sudden unexpected events such as accidents on the vehicle environment. We develop ontology description for sensor data and use the Protege for processing which includes querying and inference over sensor data.