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This, however, is unsuitable for networks with varying operation conditions.
The efficacy of the proposed algorithm is studied for networks with different sizes and node densities.
However, for networks with more than 50 nodes the performance of the SimpleSearch and MobEye declines.
Fig. 13 Behaviour of the success rate for networks with differente dispersion areas.
Therefore, it is only applicable for networks with small geographical size.
The SCC percentage increases to about 80 90 % for networks with more than 200 400 users.
The graph rigidity problem for networks with bearings is the dual of the distance case.
These methods can only use for networks with small number of nodes.
So far all the studies are for networks with deterministic topologies.
Moreover, some effective pinning schemes have been designed for networks with fixed structure and coupling strengths.
Thus, for networks with different node densities, a proper pipe radius should be carefully chosen.
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