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6LoWPAN Fragment Forwarding

Authors: Tanaka, Yasuyuki; Minet, Pascale; Watteyne, Thomas;

6LoWPAN Fragment Forwarding

Abstract

Low-power wireless technologies have been applied to industrial fields not only to monitor facilities but also to control them. There is a legitimate requirement to integrate low-power wireless networks with existing IP-enabled networks such as the Internet. The 6LoW-PAN standard makes this happen easily by enabling low-power wireless networks to transport IPv6 packets. A challenge is that an IPv6 packet might not fit in a link-layer frame. The answer is fragmentation: the IPv6 packet is cut into fragments, each fitting in a frame. In a typical implementation, the IPv6 packet is fragmented and reassembled at every hop. Such per-hop reassembly causes low end-to-end reliability and high end-to-end latency. This article presents a new implementation technique which results in fragment forwarding without changing any of the standards. Simulation results show how, when going from per-hop reassembly to fragment forwarding, end-to-end reliability goes from 40% to 100%, memory requirements go from 1280 B to 160 B, and end-to-end latency is halved.

Country
France
Keywords

[INFO.INFO-NI] Computer Science [cs]/Networking and Internet Architecture [cs.NI]

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    11
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
11
Top 10%
Top 10%
Top 10%
Green
bronze