Reply pertains to TOSSIM T2: There is no easy way to do with the TOSSIM T2. That is because the link-gain information is applied from a model (which is generally assumed to be pre-created). However, it *is* possible to rebuild the link-gain model on-the-fly and therefore simulate such changes in transmission power. I have a mostly untested Python model generator that uses the USC generator formula (however, it does not apply noise generation or other advanced features). Just keep in mind that a simulation is only as accurate as...
HTH, Paul On Fri, Jul 18, 2008 at 6:46 AM, Anthony Smee <[EMAIL PROTECTED]> wrote: > Hi there > > I am working on some code which discovers other nodes, in fact all nodes > discover what is around them. It is possible that some nodes are hidden, > that is they hear from others but can't communicate back. All of this is in > the TOSSIM environment. > > Is it possible, that when a Node determines that another node is a hidden / > asymmetric node, it can tell said node to increase its radio transmit radius > and so, potentially, bring it out of its hidden status? From reading through > the tutorials and looking at code I realise you could do this by changing > the gain relationship between the two, or more, nodes, which would have to > completed at the Python level. However I can't see how a nodes transmit > radius can be increased, is there a command to complete this? > > Also, a second question, if I may, is it possible to ascertain the x / y > co-ordinates of a node in a topology? > > Thank you. > > Anthony > > Microsoft is solely responsible for any e-tags and links that they put on > the bottom of my emails. These are placed on my emails without my consent > and against my will. I have neither agreed to them nor endorse them. I am > sorry you are forced to receive them. If you do not like them, please send a > complaint to Microsoft. > > ________________________________ > Find out how to make Messenger your very own TV! Try it Now! > _______________________________________________ > Tinyos-help mailing list > [email protected] > https://www.millennium.berkeley.edu/cgi-bin/mailman/listinfo/tinyos-help > _______________________________________________ Tinyos-help mailing list [email protected] https://www.millennium.berkeley.edu/cgi-bin/mailman/listinfo/tinyos-help
