[Roll] Revisiting the Trickle Algorithm

badis DJAMAA <badis.djamaa@ieee.org> Mon, 19 January 2015 13:51 UTC

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From: badis DJAMAA <badis.djamaa@ieee.org>
To: roll@ietf.org, gnawali@cs.uh.edu, T.Clausen@computer.org, pal@cs.stanford.edu, jgko@cs.jhu.edu, jeonggil.ko@gmail.com, jonhui@cisco.com, Ines Robles <maria.ines.robles@ericsson.com>, Michael Richardson <mcr+ietf@sandelman.ca>
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Subject: [Roll] Revisiting the Trickle Algorithm
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Dear all

We have been working with Trickle for more than two years. A 4-page
document available here https://dspace.lib.cranfield.ac.uk/handle/1826/9033
shows that by a simple modification to Trickle, a great decrease in the
propagation time can be achieved without affecting Trickle's scalability.

The results are backed by extensive simulations and large-scale testbed
experiments. In-depth explanation along with more extensive results are
under analysis to be announced very soon.

In a nutshell the modification recommends to change step 2, section 4.2
<https://tools.ietf.org/html/rfc6206#section-4.2>. of RFC6206 as follows

Old:

 2.  When an interval begins, Trickle resets c to 0 and sets t to a
       random point in the interval, taken from the range [I/2, I), that
       is, values greater than or equal to I/2 and less than I.  The
       interval ends at I.

New:

 2.  When an interval begins, Trickle resets c to 0 and sets t to a
       random point in the interval, taken from the range:
       o   [0, Imin) if the interval began as result of step 6
         (because of an *inconsistency* or external *events*).

   o   [I/2, I), otherwise(the interval began because of step 1 or step 5)

The rationale behind this modification is briefly explained here
https://dspace.lib.cranfield.ac.uk/handle/1826/9033

any comment is warmly welcomed

All the best
badis