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Further, the grid points (nodes) were classified into universal roles according to their pattern of within- and between-community connections.
At first level, the nodes were classified as harvesting or transmitting nodes based on their residual energy.
At the beginning of each round, all nodes were classified into layers (except for the flat topology) using Algorithm 3.2.
In addition, nodes were classified according to the degree of connectivity.
Nodes were classified as hubs based on varying a cut-off criterion for each centrality metric.
By increasing the threshold, more nodes were classified as bottlenecks (x-axis) and their betweenness values showed a rapid decline (blue line) in the top 5% of values.
Similar(32)
At MAC layer, nodes are classified into clusters.
Nodes are classified as a "spreader" (red) or "sponge" (blue) based on the ratio of the incoming and outgoing two-step probabilities (spreader and sponge factor listed in respective ovals).
We introduce a metric for the relative mobility of the nodes, according to which the nodes are classified into mobility classes.
We assume that nodes are classified into M capture classes.
All mobile nodes are classified into one of three types: sender, receiver, or helper nodes.
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CEO of Professional Science Editing for Scientists @ prosciediting.com