Algorithm 2 Testing procedure on the Raspberry boards.
$N=\{6,9,12,15\}$	▹ Number of sensors
$V=\{-80,-75,-70,-65,-60,-55\}$	▹ Noise variances
$I=\{\mathrm{Random},\mathrm{Intelligent}\}$	▹ Types of swarm initialization
$A=\{\mathrm{CS},\mathrm{GWO},\mathrm{EEHO},\mathrm{MFO},\mathrm{WOA},\mathrm{SSA},\mathrm{TGA},\mathrm{COA},\mathrm{SDO},\mathrm{MFO}\}$
for all$(n,v,i,a)\in N\times V\times I\times A$do
$data=$LoadDataset($n,v$)	▹ Energies, sensors’ positions, etc.
$results=\left[\right]$
for $m=1,2,3,\dots ,10.000$ do
$startTime=$ Clock()
$\widehat{X}$ = Execute($a,n,i$, data[m])	▹ Location estimation by algorithm a. $\widehat{X}$ contains
the best solutions found so far at each iteration of the algorithm
$executionTime=$Clock() − startTime
$results=[results;\widehat{X}executionTime]$
end for
SaveToFile($results$)
end for