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We propose the deployment of a number of auxiliary static nodes whose purpose is to increase the reachability of broadcast emergency packets among the nodes which are participating in the disaster scenario.
The nodes can choose between four access classes to increase the reachability and avoid congested resource.
When the threshold is increased from three, reachability curve becomes steeper so that the nodes are reached by few rebroadcast levels.
It outlines the importance of obtaining information, inferring new knowledge and enriching our knowledge through the increasing availability and reachability of massive data sets.
When the two metrics are compared side by side as in Fig. 24, by slightly increasing the threshold, reachability could be improved considerably.
For example, in a 50-node network the reachability could be increased by about 15% when the threshold was increased simply from one to two.
Indeed, compared to the no-TMS condition, reaction times were systematically the shortest in SOA-50ms condition (reachability judgement task: -48ms, right-left decision task: -68ms, grasping task: -85ms) and increased progressively up to 200ms-SOA for the reachability judgement task (-2ms) and the grasping task (-21ms), and up to 300ms-SOA for the right-left decision task (-7ms).
In the Lower Hunter we found the green corridor scenario increased connectivity both visually and quantitatively, as shown by a 105% increase in the integral index of connectivity (IIC) which measures habitat availability (reachability) at the landscape scale.
According to Fig. 24 a reachability increases when the threshold increases in realistic network conditions also.
When we made the links symmetric, we could see a significant increase in the reachability (not shown).
We measured the probability of reachability among the attractors with an increasing number of faults in the network.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com