DroneTank: Planning UAVs' Flights and Sensors' Data Transmission under Energy Constraints.

摘要: We consider an Unmanned Aerial Vehicle (UAV, also known as drone) aerial sink to travel along a natural landscape or rural industrial linear infrastructure collect data from deployed sensors. study joint schedule problem that involves flight planning for the drone and transmission scheduling sensors, such maximum amount of can be collected with limited individual energy budget UAV respectively. On one hand, decides speed path based on sensor locations, budgets, schedule. other each when deliver what power use budgets plan. By observing three import optimality properties, we decouple into two subproblems: scheduling. For first problem, propose dynamic programming algorithm produce optimal planning. second plan input, introduce novel technique (water-tank), which together programming, is key achieve maximizes collection. Simulations show separately determined are near-optimal original problem.