However, TAG distribution continued changing.
Especially, as an industrial example of non-uniform random tag distribution, the simple sectionalized warehouse management is considered to evaluate the performance of AINetHE-RA.
In simulation experiments, the effects of such parameters as time slots, frequency channels, power values and locations are first investigated, and the total effective interrogation area and the number of identified tags are evaluated for the single and multiple density tag distribution.
Also, based on the assumption of a uniform tag distribution among all readers,.
Table 7 presents the tag distribution considering the service granularity and with respect to the total count of tags found.
The unique tag distribution is only used for estimation of the diversity of unique tag obtained from the library.
We will subsequently compare these two based on the amount of overlapped tags between readers and the type of tag distribution in the layout under consideration.
Rough estimates of the tag population may be available on an individual reader basis [16], or collectively due to knowledge of possible tag distribution patterns.
We consider two realistic tag layout settings: a uniform distribution of tags to study the effect of overlap factor on tag reading time and a geometric distribution of tags to study the effect of both the overlap factor and tag distribution on tag reading time.
It can be seen that for, the tag distribution parameter has a similar effect as seen in the uniform distribution case for varying overlap factors.
