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Fault-Tolerant Self-organization in Sensor Networks

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

Abstract

Sensor nodes in a distributed sensor network can fail due to a variety of reasons, e.g., harsh weather conditions, sabotage, battery failure, and component wear-out. Since many wireless sensor networks are intended to operate in an unattended manner after deployment, failing nodes cannot be replaced or repaired during field operation. Therefore, by designing the network to be fault-tolerant, we can ensure that a wireless sensor network can perform its surveillance and tracking tasks even when some nodes in the network fail. In this paper, we describe a fault-tolerant self-organization scheme that designates a set of backup nodes to replace failed nodes and maintain a backbone for coverage and communication. This scheme has been implemented on top of an energy-efficient self-organization technique for sensor networks. The proposed fault-tolerance-node selection procedure can tolerate a large number of node failures, without losing either sensing coverage or communication connectivity.

This research was supported by DARPA, and administered by the Army Research Office under Emergent Surveillance Plexus MURI Award No. DAAD19-01-1-0504. Any opinions, findings, and conclusions or recommendations expressed in this publication are those of the authors and do not necessarily reflect the views of the sponsoring agencies.

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© 2005 Springer-Verlag Berlin Heidelberg

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Zou, Y., Chakrabarty, K. (2005). Fault-Tolerant Self-organization in Sensor Networks. 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_16

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  • DOI: https://doi.org/10.1007/11502593_16

  • 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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