Managing available energy among multiple unmanned aerial vehicles

A system for managing available energy among multiple unmanned aerial vehicles, the system comprising:

• a memory;
• and
• a processor communicatively coupled to the memory, wherein the system performs a method comprising;
• identifying tasks to be completed by the multiple unmanned aerial vehicles:
• determining energy requirements of one or more unmanned aerial vehicles of the multiple unmanned aerial vehicles to facilitate completing one or more tasks of the tasks to be completed by the multiple unmanned aerial vehicles;
• identifying an energy sharing approach for completion of the task(s) by the unmanned aerial vehicle(s) where one or more other unmanned aerial vehicles of the multiple unmanned aerial vehicles transfer energy in operation to the unmanned aerial vehicle(s) to facilitate completion of the task(s);
• determining a route for the multiple unmanned aerial vehicles traveling, at least in part, as a coupled collective of unmanned aerial vehicles;
• determining individual energy requirements of each unmanned aerial vehicle of the multiple unmanned aerial vehicles to accomplish a respective task of the multiple tasks;
• dispatching the multiple unmanned aerial vehicles as the coupled collective of unmanned aerial vehicles;
• and
• transferring energy from the other unmanned aerial vehicle(s) to the unmanned aerial vehicle(s) while in transit, where the other unmanned aerial vehicle(s) has excess energy than required to accomplish the respective task(s) of the other unmanned aerial vehicle(s).

A computer program product for managing available energy among multiple unmanned aerial vehicles, the computer program product comprising:

• a computer readable storage medium having computer readable code embodied therewith, the computer readable code being executable by a processor to perform a method comprising:
• identifying tasks to be completed by the multiple unmanned aerial vehicles;
• determining energy requirements of one or more unmanned aerial vehicles of the multiple unmanned aerial vehicles to facilitate completing one or more tasks of the tasks to be completed by the multiple unmanned aerial vehicles;
• identifying an energy sharing approach for completion of the task(s) by the unmanned aerial vehicle(s) where one or more other unmanned aerial vehicles of the multiple unmanned aerial vehicles transfer energy in operation to the unmanned aerial vehicle(s) to facilitate completion of the task(s);
• determining a route for the multiple unmanned aerial vehicles traveling, at least in part, as a coupled collective of unmanned aerial vehicles;
• determining individual energy requirements of each unmanned aerial vehicle of the multiple unmanned aerial vehicles to accomplish a respective task of the multiple tasks;
• dispatching the multiple unmanned aerial vehicles as the coupled collective of unmanned aerial vehicles;
• and
• transferring energy from the other unmanned aerial vehicle(s) to the unmanned aerial vehicle(s) while in transit, where the other unmanned aerial vehicle(s) has excess energy than required to accomplish the respective task(s) of the other unmanned aerial vehicle(s).