IS_SDM: an in-network semantic sensor data model

Authors:
Kin Wah Chow;Qing Li
Affiliations:
City University of Hong Kong, Kowloon, HKSAR, CHINA;City University of Hong Kong, Kowloon, HKSAR, CHINA
Venue:
Proceedings of the 2007 ACM symposium on Applied computing
Year:
2007

Citing 2
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SEPSen: semantic event processing at the sensor nodes for energy efficient wireless sensor networks

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Abstract

Sensor nodes have been always acting only as a data collector inside wireless sensor networks. They usually perform energy-aware routing independently from the properties of collected sensed data. Such sensed data is interpreted into useful context information at the gateway after a great time lag and the sensors cannot respond to sudden events very rapidly. In this paper, we introduce the In-network Semantic Sensor Data Model (IS_SDM) which can provide sensor nodes with context-awareness and also energy consumption consideration. Sensor nodes can be more intelligent in adapting to ambient changes while data collection can be achieved more efficiently.