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Thus, the "second challenge" of identifying congested nodes is achieved using queue length.
An unlimited opportunity for accepting further study nodes as well as re-evaluation nodes is achieved.
More balanced energy consumption among VSN nodes is achieved by allocating different fairness ratio per each node in the VSN.
As a consequence of merging of clusters, a hierarchical clustering of sub-topic sub-goal nodes is achieved where sub-goal nodes inferred from recursively defined merged clusters may indicate split or merge points in the goal topic or whole story description.
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Keys for securing pairwise communication among nodes are achieved by key establishment process after deployment.
The energy balancing among the nodes was achieved by incorporating a CH rotation function and an energy-balancing routing scheme.
However, no significant support for deep nodes was achieved, presumably due to large contribution of phylogenetic noise from rapidly-envolving ITS regions.
From the paraffin blocks, pairs of sections were cut at 50-μm intervals until complete sectioning of the nodes was achieved.
Once the localization of each node is achieved, sensor nodes decrease their sensing radii back to one-hop distances.
Once a leaf node is achieved in the tree search, a better solution of [c,d] is found.
Assuming no measurement errors, "unique" localization of a sensor node is achieved via trilateration from three anchor positions if distance to those anchors is known.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com