this paper was submitted on
1 point (100% like it)
1 up vote 0 down votes

papers

subscribe8 readers

Welcome to the public review site of papers appearing in MobiSys 2012. Here you can find the public review written by a PC member for each paper and the authors' rebuttal to it. You can comment on any of them or add your own opinion. Finally you can vote to "like" or "dislike" a paper by clicking the up or down arrows next to its title.

all 4 comments

[–]JacobSorber 0 points1 point ago

sorry, this has been archived and can no longer be voted on

Question: Did you conduct measurements in a room full of people? Museums are often full of people.

Answer: Yes, we took measurements in a student area, and in an area where students gather to eat lunch. [showed some data] Most of the time you can see that it is very robust to people in different environments. There is more information in the paper.

[–]JacobSorber 0 points1 point ago

sorry, this has been archived and can no longer be voted on

Question: When talking about centimeter accuracy, height comes into play. How much does height impact your results?

Answer: We haven't done much with height. We are not able to vary height when doing experiments with the roomba. We have done some war driving with a student moving around with the receiver on a box at a different height. Even at this different height we didn't notice significant differences in accuracy.

[–]JacobSorber 0 points1 point ago

sorry, this has been archived and can no longer be voted on

Question: Do you get the same results with a person holding the receiver?

Answer: Yes, there are more variations, more clusters. But you can just add those clusters into your set of clusters for that spot.

[–]JacobSorber 0 points1 point ago

sorry, this has been archived and can no longer be voted on

Question: The overhead of war-driving seems high. How do you deal with this?

Answer: You don't need to cover the entire space, meter by meter. You just need to war-drive about 35 spots. When not in a spot, you can use coarser-grained WiFi localization.

[–][deleted] ago

sorry, this has been archived and can no longer be voted on

[deleted]