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An efficient proportional integral (PI) scheme with only a simple equation is used to control the force of the maglev wheel, which is modeled as a contact node moving along a number of target nodes.
□ Fig. 8 The influence of node moving distance.
Fig. 1 Cooperative neural network Fig. 2 Node moving trajectory.
Importantly, ER does not require any prior node location or node moving information.
Figure 7 shows the relation between dead node ratio and node moving speed for ACECR protocols under Randway models.
It consists of one Wi-Fi access point, seven peer nodes, and one target mobile node moving from the corridor to a room.
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The target node moves at the speed of 1 m/s.
The node moves in the opposite direction to the current forwarding node.
The key argument here is how far the node moves with respect to the resultant force.
Assume that each node moves independently with the same average speed.
While the fifth node moves away the zone, the probability of constructing optimum LLS deceases.
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