how I can find the central point in randomly distributed WSN and how I can get the nearest sensor node for this point?
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Momen AlManaseh
on 11 Sep 2021
Commented: Momen AlManaseh
on 13 Sep 2021
y_cor = 100
x_cor = 100
n = 10
I need to find the nearest node for the central and defined it as a Cluster Head.
All Thanks;
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Image Analyst
on 11 Sep 2021
To find the x and y closest to the mean/centroid in a set of (x,y) coordinates you can do (untested)
meanx = mean(x);
meany = mean(y);
distances = sqrt((x - meanx) .^ 2 + (y - meany) .^ 2);
% Find the distance that is closest to the means.
[minDistance, indexOfMin] = min(distances);
xClosestToCentroid = x(indexOfMin);
yClosestToCentroid = y(indexOfMin);
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Image Analyst
on 12 Sep 2021
@Momen AlManaseh, since I did this
distances = sqrt((x - meanx) .^ 2 + (y - meany) .^ 2);
distances is the distances of all nodes to the centroid. If you want the distances from all the nodes to the node that is closest to the centroid (and may not be exactly at the centroid), then you can use the location of that node instead of meanx and meany:
distances = sqrt((x - xClosestToCentroid) .^ 2 + (y - yClosestToCentroid ) .^ 2);
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