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

Authors:
Mumraiz Khan Kasi;Annika Hinze;Catherine Legg;Steve Jones
Affiliations:
University of Waikato, Hamilton, New Zealand;University of Waikato, Hamilton, New Zealand;University of Waikato, Hamilton, New Zealand;University of Waikato, Hamilton, New Zealand
Venue:
Proceedings of the 6th ACM International Conference on Distributed Event-Based Systems
Year:
2012

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Abstract

Traditionally in WSNs, the sensor nodes are used only for capturing data that is then later analyzed in the more powerful gateway nodes. This requires a continuous communication that wastes energy at the sensor nodes and greatly reduces the overall network lifetime. We propose a semantic-based in-network data processing that reduces energy consumption and improves the scalability of heterogeneous sensor networks. Ontology fragments in each sensor node help identify the data routed through the sensor network. We have adapted a matching algorithm to process a changing knowledge base. Simulation results show that the networks' energy consumption is considerably reduced.