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Exact(28)
This is a practical assumption since source nodes are likely to use the closely located relays.
Such nodes are likely to exhaust their energy resources and deplete their battery power rapidly.
This also happens in AODV_CZ since bordering nodes are likely to get out of the node's radio transmission range.
As a result, more nodes are likely to be involved in the routing algorithm, i.e., relaying information for other nodes.
In particular, the model considers that although arriving nodes are likely to link high-connected nodes, making connections to those nodes should be more expensive.
As time passes, more nodes are likely to have been intruded, and thus a low ratio f/n may imply lower (mathcal{R}^{parallel}).
Similar(32)
A more realistic setting with more communicating nodes is likely to stress the MAC method further.
The cache utilization metric is a novel metric specially useful in IoT scenarios, where a huge disparity between the memory resources of network nodes is likely to occur.
(1) High relative speed is a negative condition for link duration, since the distance between two nodes is likely to get longer quickly.
We call such a sampling algorithm unbiased; in other words, any subset of infected nodes is likely to contain an observed infected node when the size of the subset is large enough.
Further, the strength of the connectivity between conceptual nodes is likely related to the Hebbian principle that neurons (or neuronal assemblies that comprise the semantic network) that fire together wire together ([2, p. 70]; see also [3, 4]).
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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