ABSTRACT
In this work, we propose GST-CEMID, a pipelining-based framework to support Complex Event ModelIng and Detection in MSNs, which relies on: (i) an extension of GStreamer; (ii) JSON-like configuration files; and (iii) an ontology-based data model. GST-CEMID allows users to model MSN infrastructure and complex events, and generates an event processing pipeline according to the provided models. Results show that it can detect events in a high workload with the detection latency of less than one second.
- James F. Allen. 1983. Maintaining Knowledge About Temporal Intervals. Commun. ACM 26, 11 (Nov. 1983), 832--843. Google ScholarDigital Library
- Sheeraz A. Alvi, Bilal Afzal, Ghalib A. Shah, and et al. 2015. Internet of multimedia things: Vision and challenges. Ad Hoc Networks 33 (2015), 87 -- 111. Google ScholarDigital Library
- Chinnapong Angsuchotmetee and Richard Chbeir. 2016. A Survey on Complex Event Definition Languages in Multimedia Sensor Networks. In Internat. Conf. on Management of Digital EcoSystems (MEDES). ACM, 99--108. Google ScholarDigital Library
- Chinnapong Angsuchotmetee, Richard Chbeir, and Yudith Cardinale. {n. d.}. MSSN-Onto: Toward Flexible Event Processing in Multimedia Sensor Networks. ({n. d.}). http://mssn.sigappfr.org/Google Scholar
- Chinnapong Angsuchotmetee et al. 2017. A Dynamic Event Detection Framework for Multimedia Sensor Networks. In 23rd Asia-Pacific Conference on Communications (APCC). Perth, Australia.Google Scholar
- Darko Anicic, Paul Fodor, Sebastian Rudolph, Roland Stuhmer, Nenad Stojanovic, and Rudi Studer. 2011. ETALIS: Rule Based Reasoning in Event Processing. In Reasoning in Event-Based Distributed Systems. Number 347. 99--124.Google ScholarCross Ref
- Shailendra Aswale and Vijay R. Ghorpad. 2013. Wireless Multimedia Sensor Network: A Survey on Multimedia Sensors. In International Conference on Recent Trends in Information, Telecommunication and Computing. 31--37.Google Scholar
- Taner Cevik and et al. 2015. A Survey of multimedia streaming in wireless sensor networks: progress, issues and design challenges. CoRR abs/1512.03565 (2015).Google Scholar
- Michael Compton. {n. d.}. The SSN ontology of the W3C semantic sensor network incubator group. Web Semantics: Science, Services and Agents on the World Wide Web Volume 17 ({n. d.}), 25--32. Google ScholarDigital Library
- Matthew Perry, Prateek Jain, and Amit P. Sheth. 2011. SPARQL-ST: Extending SPARQL to Support Spatiotemporal Queries. Springer US, Boston, MA, 61--86.Google Scholar
- C. Rueda, L. Bermudez, and J. Fredericks. 2009. The MMI Ontology Registry and Repository: A portal for Marine Metadata Interoperability. In OCEANS 2009. 1--6.Google Scholar
- O. Berat Sezer and et al. 2015. Development of a smart home ontology and the implementation of a semantic sensor network simulator: An Internet of Things approach. In Internat. Conf. on Collaboration Technologies and Systems. 12--18.Google Scholar
Index Terms
- A pipelining-based framework for processing events in multimedia sensor networks
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