Neighbor-based Trajectory Planning of Unmanned Aerial Vehicles for Data Collection in Forest

In order to improve the efficiency of data collection, nearest neighbor-based trajectory planning of unmanned aerial vehicle（UAV） for data collection（NNDC） is proposed in this paper. In NNDC algorithm, energy of node is supplied through wireless power transfer（WPT） from UAV. Then the working time of node is extended. Based on the constraints of energy consumption of UAV and ensuring the collection data of each node, the objective function of minimizing time of collecting data is established, which is solved by nearest neighbor algorithm. Then, the optimal trajectory of collecting data is obtained to realize the UAV trajectory planning. Performance analysis shows that the proposed NNDC algorithm outperform the similar algorithm in terms of time of collecting data and energy consumption of UAV in data collection process. The average time of collecting data is less than 100 s when the number of nodes is from 6 to 20.