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Modelling and Simulating the Trickle Algorithm

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Abstract

The Trickle algorithm has proven to be of great benefit to the Wireless Sensor Networking area. It has shown general applicability in this field, e.g. for code distribution to smart objects and routing information distribution between smart objects. Up to now analysis of the algorithm has focussed on simulation studies and measurement campaigns. This paper introduces an analytical models for the algorithm’s behaviour for the time to consistency. The model is compared with simulation results for a set of network topologies and enables to discover efficient settings of the algorithm for various application areas, such as logistics.

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References

  1. Eppstein, D.: Generator for integer partitions (Python recipe) (2011), http://code.activestate.com/recipes/218332-generator-for-integer-partitions/

  2. Lee, H., Cerpa, A., Levis, P.: Improving wireless simulation through noise modeling. In: IPSN 2007: Proceedings of the 6th International Conference on Information Processing in Sensor Networks, pp. 21–30. ACM Press (2007)

    Google Scholar 

  3. Levis, P., Clausen, T., Hui, J., Gnawali, O., Ko, J.: The Trickle Algorithm. RFC 6206 (Proposed Standard) (March 2011), http://www.ietf.org/rfc/rfc6206.txt

  4. Levis, P., Patel, N., Culler, D., Shenker, S.: Trickle: A Self-Regulating Algorithm for Code Propagation and Maintenance in Wireless Sensor Networks Reasoning About Naming Systems. In: NSDI 2004 Proceedings (2004)

    Google Scholar 

  5. Shelby, Z., Hartke, K., Bormann, C., Frank, B.: Constrained Application Protocol (CoAP). Internet-Draft (work in progress) (January 2012), http://tools.ietf.org/html/draft-ietf-core-coap-07

  6. Winter, T., Thubert, P., Brandt, A., Clausen, T., Hui, J., Kelsey, R., Levis, P., Pister, K., Struik, R., Vasseur, J.: RPL: IPv6 Routing Protocol for Low power and Lossy Networks. Internet-Draft (work in progress), draft-ietf-roll-rpl-19.txt (March 2011), http://tools.ietf.org/html/draft-ietf-roll-rpl-19

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© 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering

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Becker, M., Kuladinithi, K., Görg, C. (2012). Modelling and Simulating the Trickle Algorithm. In: Pentikousis, K., Aguiar, R., Sargento, S., Agüero, R. (eds) Mobile Networks and Management. MONAMI 2011. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 97. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30422-4_10

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  • DOI: https://doi.org/10.1007/978-3-642-30422-4_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-30421-7

  • Online ISBN: 978-3-642-30422-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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