Design, Implementation and Evaluation of SemHD: a New Semantic Hierarchical Sensor Data Storage

Sensor networks are dense wired or wireless networks for collecting and disseminating environmental data. Sensors enable machines to capture and observe characteristics of physical objects and features of natural incidents. Most of the current efforts on sensor networks are focused on networking and service development for various applications, but less on processing the emerging data. Sensor networks generate immense amount of data, which requires advanced analytical processing and interpretation by machines. Processing and interpretation of huge amounts of heterogeneous sensor data and utilizing a coherent structure for this data is an important aspect of a scalable and interoperable sensor network architecture. In this paper, we describe a new semantic hierarchical sensor data storage named SemHD, which arranged sensors in hierarchical form and each sensor send their data to cluster head in semantic model.