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Intelligent Management Message Routing in Ubiquitous Sensor Networks

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Computational Collective Intelligence. Technologies and Applications (ICCCI 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6922))

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Abstract

This paper first presents an intelligent ubiquitous sensor network implementation for agricultural and livestock farms and designs an efficient cyclic routing scheme for network management messages, aiming at improving productivity and profit in those industries. Instead of multiple point-to-point message transmissions for status indication collection, our management message traverses the specific set of nodes of interest one by one. The management application collects routing information from the neighbor table commonly available in the current sensor protocol to calculate the communication cost between each pair of target nodes. Based on this topology view, a genetic algorithm solver decides the traversal sequence of a cyclic management path. The experiment result discovers that the multithreaded version, in which each thread runs its own initial population, can find a much better solution, efficiently escaping local traps.

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References

  1. Lee, J., Park, G., Rehman, S., Jhang, S., Kang, M.: A Real-time Message Scheduler Support for Dual-Sink Mobile Ad-hoc Sensor Networks. In: 24th Annual ACM Symposium on Applied Computing, pp. 305–309 (2009)

    Google Scholar 

  2. Culler, D., Estrin, D., Srivastava, M.: Overview of Sensor Networks. IEEE Computer 37, 41–49 (2004)

    Article  Google Scholar 

  3. Cuevas, A., Urueña, M., Laube, A., Gomez, L.: LWESP: Light-Weight Exterior Sensornet Protocol. In: IEEE International Conference in Computer and Communications (2009)

    Google Scholar 

  4. Lee, J., Park, G., Kwak, H., Kim, C.: Efficient and Extensible Data Processing Framework in Ubiquitous Sensor Networks. In: International Conference on Intelligent Control Systems Engineering, pp. 324–327 (2011)

    Google Scholar 

  5. Madden, S., Franklin, M.: Fjording the Stream: An Architecture for Queries over Streaming Sensor Data. In: Proc. of the 2002 Intl. Conf. on Data Engineering (2002)

    Google Scholar 

  6. http://www.tinyos.net

  7. Golab, L., Oszu, M.: Issues in Data Stream Management. ACM SIGMOD Record 32, 5–14 (2003)

    Article  Google Scholar 

  8. Madden, S., Franklin, M., Hellerstein, J., Hong, W.: The Design of an Acquisitional Query Processor for Sensor Networks. ACM SINGMOD (2003)

    Google Scholar 

  9. Ruiz, L., Nogueira, J., Loureiro, A.: MANNA: a Management Architecture for Wireless Sensor Networks. IEEE Communications Magazine 41, 116–125 (2003)

    Article  Google Scholar 

  10. Lee, J., Song, H., Mok, A.: Design of a Reliable Communication System for Grid-Style Traffic Control Networks. In: The 16th IEEE Real-Time and Embedded Technology and Applications Symposium, pp. 133–142 (2010)

    Google Scholar 

  11. Katsigiannis, Y., Georgilakis, P., Karapidakis, E.: Multiobjective Genetic Algorithm Solution to the Optimum Economic and Environmental Performance Problem of Small Autonomous Hybrid Power Systems with Renewables. In: IET Renewable Power Generation, pp. 404–419 (2010)

    Google Scholar 

  12. Madden, S., Franklin, M., Hellerstein, J., Hong, W.: TinyDB: an Acquisitional Query Processing System for Sensor Networks. ACM Transactions on Database Systems 30 (2005)

    Google Scholar 

  13. Kang, M., Kang, D., Crago, S., Park, G., Lee, J.: Design and Development of a Run-time Monitor for Multi-Core Architectures in Cloud Computing. Sensors 11, 3595–3610 (2011)

    Article  Google Scholar 

  14. Woo, H., Mok, A.: Real-Time Monitoring of Uncertain Data Streams Using Probabilistic Similarity. In: Proc. of IEEE Real-Time Systems Symposium, pp. 288–300 (2007)

    Google Scholar 

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© 2011 Springer-Verlag Berlin Heidelberg

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Lee, J. et al. (2011). Intelligent Management Message Routing in Ubiquitous Sensor Networks. In: Jędrzejowicz, P., Nguyen, N.T., Hoang, K. (eds) Computational Collective Intelligence. Technologies and Applications. ICCCI 2011. Lecture Notes in Computer Science(), vol 6922. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23935-9_53

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  • DOI: https://doi.org/10.1007/978-3-642-23935-9_53

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23934-2

  • Online ISBN: 978-3-642-23935-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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