The demand for high-quality wireless communications is growing along with the number of applications and devices. One way to provide such a network is to use a system of drone routers. Such a system would be useful, for example, in situations where it is necessary to quickly and simultaneously provide a signal to a large area—during natural disasters, large-scale incidents, and public events.
Improving energy efficiency of Wi-Fi networks on drones using slime mold method and a neural network
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