Nothing seems wrong with your results. I have sort of similar results. Ittipong
On 14/04/2008, Eli Gotesman <[EMAIL PROTECTED]> wrote: > > Hi, > > I made the following experiment: > I've placed one sensor each 0.5m for 20m, and there is one sensor that > sends 1000 messages to everyone. > After the sending stage, each sensor has 1000 samples of RSSI values, and > I compute the mean value for each distance (each 0.5). > My problem is that there are some distances that their mean values of RSSI > are too close, > but maybe it suppose to be this way... > > > On Sun, Apr 13, 2008 at 7:09 AM, Ittipong Khemapech < > [EMAIL PROTECTED]> wrote: > > > In my opinion, the RSSI readings are quite susceptible to various > > environmental conditions. Conducting more runs may help. > > > > How many runs per distance have you done? > > > > I think you may compute the median and compared it to the average. > > > > Ittipong > > > > On 13/04/2008, Eli Gotesman <[EMAIL PROTECTED]> wrote: > > > > > Hi, > > > > > > I'm working on an application that implements a localization algorithm > > > that uses RSSI values to determine the distance. > > > I did a little experiment to see the average value of RSSI for > > > different distances, and the resolution of the average values that I got > > > isn't good enough for me. > > > Is there a way to get a more accurate value of a RSSI reading (maybe a > > > way to get a double and not an integer...) > > > > > > Thanks, > > > Eli > > > > > > _______________________________________________ > > > Tinyos-help mailing list > > > [email protected] > > > > > > https://www.millennium.berkeley.edu/cgi-bin/mailman/listinfo/tinyos-help > > > > > > > >
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