A wireless sensor network routing scheme based on data collected by UAV

In order to reduce the overall energy consumption of UAV-assisted wireless sensor networks and extend the network life cycle, this paper proposes a wireless sensor network routing scheme based on data collected by UAV. Firstly, the optimal cluster number expression is determined using an objective function based on the network model, channel model, and energy model of UAV-assisted wireless sensor network. Since the number of cluster heads and the hovering position of UVA are strongly correlated, the optimal cluster heads and hovering positions are obtained through simulation. Then according to the number of clusters the area is divided and after division the cluster head selection is done in each zone according to the location and energy of the nodes, thus reducing the energy consumption of the ground nodes. Finally, according to the selected cluster head position, the artificial rabbit algorithm is used to plan the flight trajectory of UAV to reduce the energy consumption of UAV.Simulation results show that the proposed scheme is better than the SHM-FCM scheme.