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

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.
Type
Conference Contribution
Type of thesis
Series
Citation
Kasi, M. K., Hinze, A., Legg, C., & Jones, S. (2012). SEPSen: Semantic event processing at the sensor nodes for energy efficient wireless sensor networks. In Proceedings of the 6th ACM International Conference on Distributed Event-Based Systems - DEBS 12 (pp. 119-122). Association for Computing Machinery.
Date
2012
Publisher
ACM
Degree
Supervisors
Rights
© ACM, 2012. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Conference Proceeding of 6th ACM International Conference on Distributed Event-based Systems (DEBS), July 2012. http://doi.acm.org/10.1145/2335484.2335497.