[NRG] practice talk, Mon, Oct 18, 4pm

vmanfred at bu.edu vmanfred at bu.edu
Mon Oct 18 12:33:51 EDT 2010


Folks,

Just a reminder that I will be giving a practice talk this afternoon at 
4pm in MCS 137.

thanks,
Vicky

Quoting vmanfred at bu.edu:

> Folks,
>
> I will be giving a practice talk (for T-Labs) on Monday, Oct. 18, at
> 4pm in MCS 137. If you can come and give comments, that would be great.
> An abstract is below.
>
> thanks,
> Vicky
>
> When a collection of  wireless or mobile nodes must form a network, a
> number of different network-level approaches can be used to transport
> data from sender to receiver - stateful routing, an epidemic forwarding
> protocol such as flooding, or a delay tolerant network forwarding
> protocol such as store-carry-forward. We call the choice of which of
> these to use the network formation strategy. There is currently no
> precise understanding, however, of the specific network and traffic
> characteristics that determine (and a node might measure to determine)
> which network formation strategy is appropriate. For instance, how
> should nodes identify whether they are in a low or high mobility
> situation? Is average velocity always a sufficient measure, or is a
> measure based on how node velocity impacts link durations more
> informative?
>
> In this talk, we  focus on the problem of  identifying  the empirical
> measures that a node should estimate to determine which network
> formation strategy, either routing, flooding, or store-carry-forward,
> maximizes goodput. We argue that three empirical measures are
> sufficient to identify the appropriate network formation strategy: (1)
> the average number of senders, (2) the probability that an arbitrary
> route exists, and (3) the average link-up entropy. The average link-up
> entropy measures the value of routing information: it is the average
> conditional entropy of the current network state given the network
> state at some time in the past. We demonstrate on two different types
> of networks that these three measures reliably distinguish the
> situations in which each network formation strategy is typically
> appropriate, and that these metrics decompose the decision space in a
> consistent manner independent of network type.
>
> This talk is based on joint work with Mark Crovella and Jim Kurose.
>
>
>
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