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Each simulation was carried out by varying the speed and the congestion degrees of the nodes as well as the quality of the channels.
This problem involves three objectives that need to be achieved simultaneously, such as minimization of total evacuation time, minimization of total evacuation distance and minimal cumulative congestion degrees in an evacuation process.
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To this end, we define the congestion degree field.
With the increasing number of MUs, congestion degree becomes serious.
When congestion degree r increases, the effectiveness of congestion-aware route selection increases.
Simulations through TransModeler indicate that our scheme ensures the accuracy of the estimation of congestion degree.
Congestion degree indicates the changing tendency of buffer queue in a period of time.
This is because traffic congestion rarely occurs due to the low congestion degree, as mentioned in Section 5.3.
The trade-off between one-hop and other traffic information (congestion degree and cumulative queue length) needs to be considered.
After identifying the receiver node, data transmission rate will be determined according to the buffer occupancy and congestion degree.
On the contrary, when the congestion degree increase, i.e., r=300, we observer that the congestion-aware route selection (resp. the shortest-distance based route selection) can (resp.
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