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Online Coding for Reliable Data Transfer in Lossy Wireless Sensor Networks

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Distributed Computing in Sensor Systems (DCOSS 2009)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 5516))

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Abstract

Bulk transport underlies data exfiltration and code update facilities in WSNs, but existing approaches are not designed for highly lossy and variable-quality links. We observe that Maymounkov’s rateless online codes are asymptotically more efficient, but can perform poorly in the WSN operating region. We analyze and optimize coding parameters and present the design and evaluation of RTOC, a protocol for bulk transport that recovered over 95% of application data despite up to 84% packet loss in a MicaZ network.

This work was funded in part by ARO grant W911NF–06–1–0204, NSF grants CNS–0614773 and CNS–0614870.

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Wood, A.D., Stankovic, J.A. (2009). Online Coding for Reliable Data Transfer in Lossy Wireless Sensor Networks. In: Krishnamachari, B., Suri, S., Heinzelman, W., Mitra, U. (eds) Distributed Computing in Sensor Systems. DCOSS 2009. Lecture Notes in Computer Science, vol 5516. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02085-8_12

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  • DOI: https://doi.org/10.1007/978-3-642-02085-8_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02084-1

  • Online ISBN: 978-3-642-02085-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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