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The results demonstrate that node criticality fluctuates considerably over time, because nodes with high activity during the morning hours are less critical during the evening hours, and vice versa.
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Because nodes with higher data arrival rate need more energy to transmit their data.
As a result, energy consumption is balanced because initially nodes with high energy have high residual energy and they are frequently selected as CHs as compared to normal ones.
In other words, the normalized slot level of nodes with high transmission parameters in DTSMS are lower than that in TTS-MIMO, because the dynamic time slot allocation scheme will allocate low slots for the nodes with high transmission parameters, which will efficiently decrease the delay of the nodes with high transmission parameters and is useful for improving the quality of service.
Dissortative networks are arranged so that the nodes with high degree do not connect to similar nodes.
Hubs are nodes with high degree nodes.
Nodes with high closeness are in close proximity to all other nodes in the network.
Black dots indicate nodes with high posterior probabilities.
Comparing all results, no nodes with high bootstrap values (BS ≥ 90) were conflicted by other nodes of equally high value.
Nodes with high degrees can be seen as hubs, and nodes with very low degrees can be seen as isolates.
Some nodes with higher computing capability become super-nodes.
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CEO of Professional Science Editing for Scientists @ prosciediting.com