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Flush: A Reliable Bulk Transport Protocol for Multihop Wireless Networks (2007)

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by Sukun Kim , Rodrigo Fonseca, Prabal Dutta, Arsalan Tavakoli, David Culler , Philip Levis, Scott Shenker, Ion Stoica
Citations:91 - 11 self
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BibTeX

@MISC{Kim07flush:a,
    author = {Sukun Kim and Rodrigo Fonseca and Prabal Dutta and Arsalan Tavakoli and David Culler and Philip Levis and Scott Shenker and Ion Stoica},
    title = {Flush: A Reliable Bulk Transport Protocol for Multihop Wireless Networks},
    year = {2007}
}

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Abstract

We present Flush, a reliable, high goodput bulk data trans-port protocol for wireless sensor networks. Flush provides end-to-end reliability, reduces transfer time, and adapts to time-varying network conditions. It achieves these properties using end-to-end acknowledgments, implicit snooping of control information, and a rate-control algorithm that operates at each hop along a flow. Using several real network topologies, we show that Flush closely tracks or exceeds the maximum goodput achievable by a hand-tuned but fixed rate for each hop over a wide range of path lengths and varying network conditions. Flush is scalable; its effective bandwidth over a 48-hop wireless network is approximately one-third of the rate achievable over one hop. The design of Flush is simplified by assuming that different flows do not interfere with each other, a reasonable restriction for many sensornet applications that collect bulk data in a coordinated fashion, like structural health monitoring, volcanic activity monitoring, or protocol evaluation. We collected all of the performance data presented in this paper using Flush itself.

Keyphrases

multihop wireless network    reliable bulk transport protocol    end-to-end reliability    volcanic activity monitoring    fixed rate    maximum goodput    wide range    implicit snooping    control information    different flow    end-to-end acknowledgment    rate-control algorithm    performance data    present flush    reasonable restriction    path length    protocol evaluation    many sensornet ap-plications    time-varying network condition    bulk data    effective bandwidth    wireless sensor network    coordinated fashion    structural health monitoring    48-hop wireless network    several real network topology    network condition   

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