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This work introduced a novel optimal scheduler for a particular dense reader environment composed by m readers which must share a single frequency channel.
In a previous paper [1], a particular simplified problem with two readers m = 2 in reader-to-reader range (dual reader environment) is addressed.
Both the query success rate and the energy consumption depend on protocol specifications as well as the number of tags, the distance between the tag and the reader, environment, etc.
I'm going to miss the Reader environment.
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Figure 1 Interferences in dense reader environments.
Table 1 summarizes the restrictions applying to reader operation for dense reader environments.
In large realistic installations, several readers are commonly deployed; these are the so-called dense reader environments, comprising multiple readers within a mutual range.
Therefore, in dense reader environments, the problem is how to distribute the reading resources available among the readers to perform optimally.
A number of proposal for coordinating dense reader environments have been presented in the literature; most of them are based on heuristic approaches and are, thus, suboptimal by nature.
Recall from the introduction that a dense-reader environment with the limitation of a single frequency channel F = 1, m readers, and t slots available in the channel is assumed.
Previous studies in a single-reader environment have shown a reduction in false-positive scores [ 18, 21].
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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