Equation 2 describes how, in our PCAC algorithm, each node's connectivity index (S i ) not only carries information regarding its connectivity (C) with its neighbors, but also the battery power level (P i ) of that particular node.
Each node broadcasts its connectivity index (S i ) to all other nodes with a time to live (TTL) value equivalent to time spent through one-hop communication. 4.
Each node broadcasts its connectivity index (S i ) to all other nodes with a TTL value equivalent to time spent through one-hop communication.
We also observed the same for expression level versus protein connectivity, d S and GC content (fig. 4).
The connectivity correlation function c(s) is also a characteristic of a conditional nature.
This is expressed in terms of the connectivity correlation function c(s), which is given in Figure 7.
Shanghai's global connectivity is strongly influenced by its close connection with its hinterland, the Yangtze River Delta, and elsewhere in China.
