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The networks can consist of high- and low-resource nodes ranging from generic computers to microchips, and the supported network classes range from body area networks to the Internet including any kind of sensor and ambient network.
PPI networks with number of nodes ranging from 140 to 411 and up to 15,855 connections were generated, and modularity and centrality analyses, and functional enrichment were performed for all of them.
Simulations were performed considering a set of tasks (nodes), ranging from 2 to 10 starting at the same time instant.
In a heterogeneous IoT environment, one is expected to find a huge disparity between the memory capabilities of individual nodes, ranging from virtually memoryless tags to more powerful nodes such as smartphones and nodes embedded in appliances and other equipments.
We measure the performance metrics discussed before for varying the number of directional sensor nodes ranging from 200 to 1000, at an interval of 200 nodes; the number of sectors is kept at 3, and the total number of fixed target is 200.
For this purpose, we created 10 random samples for varying numbers of nodes, ranging from 100 characters up to 800 characters (all random samples as well as the source code to create new random samples are given in the Additional file 1: supplementary material).
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The size of the metastases in these nodes ranged from 7 to 3 mm (Fig. 2).
Attenuation coefficients within normal lymph nodes ranged from 4.5 to 15.3 mm−15.3
The number of reconstruction nodes range from 390 to 403, with mean±standard deviation=398 ± 3.34 voxels.
Diameter of lymph nodes ranged from 0.6 cm to 10.5 cm with a median diameter of 2.04 cm.
The percentage of one-link nodes ranged from 22% (AR) to 30% (capacitation), while about the 40-45% of nodes had two links.
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