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Self-sustained Routing for Event Diffusion in Wireless Sensor Networks

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Rule Representation, Interchange and Reasoning on the Web (RuleML 2008)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 5321))

Abstract

Wireless sensor networks have the potential to become a scalable, low-cost and highly flexible tool for distributed monitoring and/or event recognition: Embedded devices that coordinate themselves via wireless communication to implement a common, distributed application are already seeing first industrial adaption in e.g. home automation, personal health or environmental monitoring. Despite of their valuable properties they put a high burden upon application development since critical issues such as a general resource scarcity, the unreliable communication medium and the management of distribution are often visible throughout the protocol stack to ensure efficient utilization.

In the demo, we will show how our middleware framework FACTS helps to alleviate problems in implementation of both system- and application-level code. Providing a rule-based, domain-specific language, FACTS is especially suited to express event-driven tasks. Therefore, we will showcase how to efficiently program a self-sustained routing protocol forwarding relevant events to dedicated sink nodes with only a handful of rules.

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References

  1. Intanagonwiwat, C., Govindan, R., Estrin, D.: Directed diffusion: A scalable and robust communication paradigm for sensor networks. In: Mobile Computing and Networking, pp. 56–67 (2000)

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  2. Terfloth, K., Wittenburg, G., Schiller, J.: Rule-oriented programming for wireless sensor networks. In: Proceedings of the International Conference on Distributed Computing in Sensor Networks (DCOSS)/ EAWMS Workshop (June 2006)

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© 2008 Springer-Verlag Berlin Heidelberg

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Terfloth, K., Schiller, J. (2008). Self-sustained Routing for Event Diffusion in Wireless Sensor Networks. In: Bassiliades, N., Governatori, G., Paschke, A. (eds) Rule Representation, Interchange and Reasoning on the Web. RuleML 2008. Lecture Notes in Computer Science, vol 5321. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88808-6_25

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  • DOI: https://doi.org/10.1007/978-3-540-88808-6_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-88807-9

  • Online ISBN: 978-3-540-88808-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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