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Studying Upper Bounds on Sensor Network Lifetime by Genetic Clustering

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Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 3560))

Abstract

In this paper we introduce the maximum lifetime sensor clustering (MLSC) protocol for calculating the upper bound on the lifetime of a sensor network. The new protocol can maximize the K-of-N network lifetime. Also, a novel genetic clustering algorithm is introduced to form optimal clusters. Simulation results show that our model can extend the sensor network lifetime to five times over that of existing approaches.

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References

  1. Heinzelman, W., Chandrakasan, A., Balakrishnan, H.: Energy-Efficient Communication Protocols for Wireless Microsensor Networks. In: Proc. of the Hawaiian Int’l Conf. on Systems Science (January 2000)

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  2. Lindsey, S., Raghavendra, C.S.: PEGASIS: Power Efficient GAthering in Sensor Information Systems. In: 2002 IEEE Aerospace Conference, March 2002, pp. 1–6 (2002)

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© 2005 Springer-Verlag Berlin Heidelberg

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Qin, M., Zimmermann, R. (2005). Studying Upper Bounds on Sensor Network Lifetime by Genetic Clustering. In: Prasanna, V.K., Iyengar, S.S., Spirakis, P.G., Welsh, M. (eds) Distributed Computing in Sensor Systems. DCOSS 2005. Lecture Notes in Computer Science, vol 3560. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11502593_40

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  • DOI: https://doi.org/10.1007/11502593_40

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-26422-4

  • Online ISBN: 978-3-540-31671-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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