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Considering the impact of the number of nodes and the number of moving nodes on energy consumption, the simulation is done with the moving time being 80 s, execution rounds being 30.
This mechanism is implemented in order to overcome the highly dynamic topology problem of the moving nodes on the road network.
In order to understand the impact of moving time and the number of moving nodes on energy consumption, their relationship is shown in Fig. 5. Figure 5 shows that, on the one hand, when the number of moving nodes is less than 4, energy consumption is small for any moving time, and when the moving time is less than 40 s, energy consumption has similar result.
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The node motion may trigger another disconnection on the moving node, so the restoration is a recursive process, the whole network is connected only when the motion node's directed neighbors are connected.
Nomadic and moving nodes, mounted on a car, bus, or train, can provide connectivity to users in their proximity and increase data rates by reducing the radio distance to the nearest access node.
The program is interactive, allowing users to zoom, pan and manually move nodes to focus on areas of interest.
Compared with Figs. 7 and 8, the whole plane is smooth, which shows that under the same number of nodes, the number of moving nodes has less effect on energy consumption.
To understand the performance of Algorithm 2, we consider the impact of the number of moving nodes and the number of nodes on energy consumption, as shown in Fig. 8.
Mobility models based on randomly moving nodes may, for example, provide useful analytical approximations to the motion of vehicles that operate in dispatch mode or delivery mode [41].
This is because that, on the one hand, more the number of moving nodes is, more energy consumption is.
The algorithm is recursively executed on the children of the moved nodes to become connected with parent.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com