I'm working on wireless sensor network using particle swarm optimization. But unable to write random deployment of sensor network and calculating its coverage area using probabilistic model
You can create your script for the sensor. Only adding noise (not necessarily gaussian) to each sensor in the network for the dynamic model.
You can define random r and theta, for example N users in a Circular area with radius R and a uniform distribution for users:
r=R*rand(1,N);
theta=2*pi*rand(1,N);
i=1:N %user number
%location of each user:
x(1,i)=r(1,i)*cos(theta(1,i));
y(1,i)=r(1,i)*sin(theta(1,i));
%D, coverage range
If |r(1,i)-r(1,j)|
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