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The results reveal that the explored literature mainly deals with private costs, although an emerging literature starts to address the social costs that may hamper smart grids deployment.
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a Grid deployment.
a, b grid deployment, c, d random deployment.
for various smart grid deployment scenarios.
However, when nodes are deployed with the grid deployment, the MLE and GVL of the proposed algorithm on the grid deployment reach convergence points after 6 estimations.
On the other hand, nodes are deployed on grids in the grid deployment.
A triangular-grid deployment pattern for 2D UWSN was proposed in [12].
We classify node deployment methods as random deployment for anisotropic topology and grid deployment for isotropic topology.
When assuming a hexagonal grid deployment: F A I r I 2 < F A I I r I I 2 (16).
We have tested and realized that on the grid deployment with 50% position error, LS-SOM gets better accuracy than the random deployment.
With the assumption mentioned above, the DV-Hop and MDS-MAP work well on the grid deployment rather than on the random deployment.
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