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Table 2 Comparison of LV-OBS (Φ) with the greedy algorithms that minimize the entropy function of (Chen et al. 2014) (Φ ent ) and the expected distance (Φ dist )

From: The effect of transmission variance on observer placement for source-localization

  \(\rho (\mathcal {P}_{s}, \Phi, \Phi _{dist})\) \(\rho (\mathcal {D}, \Phi _{dist}, \Phi)\) \(\rho ({\mathcal P_{s}}, \Phi, \Phi _{ent})\)
Random Geometric Network, N=100, r=0.2
k=2 -0.205 0.101 -0.033
k=4 -0.014 -0.003 -0.007
k=8 -0.003 -0.002 -0.003
Barabàsi Albert Network, N=100, m=3
k=2 -0.168 0.023 -0.037
k=4 -0.039 0.025 -0.028
k=8 -0.004 -0.003 0.005