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Models of Self-Stabilization and Sensor Networks

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Distributed Computing - IWDC 2003 (IWDC 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2918))

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Abstract

The advent of large-scale sensor networks highlights problems of fault tolerance and scale in distributed system, motivating designs that autonomously recover from transient faults and spontaneous reconfiguration. Self-stabilization is an attractive approach for such problems, however the standard model of research for self-stabilizing algorithms does not suit ad hoc networks of wirelessly communicating sensor nodes. The paper surveys some standard models of self-stabilization and relates these models to a sensor network. Challenges and opportunities are for integrating self-stabilization with sensor networks are illustrated with examples.

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© 2003 Springer-Verlag Berlin Heidelberg

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Herman, T. (2003). Models of Self-Stabilization and Sensor Networks. In: Das, S.R., Das, S.K. (eds) Distributed Computing - IWDC 2003. IWDC 2003. Lecture Notes in Computer Science, vol 2918. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24604-6_20

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  • DOI: https://doi.org/10.1007/978-3-540-24604-6_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-20745-0

  • Online ISBN: 978-3-540-24604-6

  • eBook Packages: Springer Book Archive

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