| dc.description.abstract | Unmanned Aerial Vehicles (UAVs), more commonly known as drones, have a wide
range of applications spread across various industries. Drones are plagued with
several challenges concerning their limited battery life and payload. Until
researchers come up with a much more advanced and long-lasting battery solution,
drones must use the most optimum path for delivery, which will increase battery
efficiency and reduce overheads. This study analyses the battery energy
consumption, velocity, and flight time of the quadcopter for varying payloads and
develops a suitable mathematical relationship for path planning problem
formulation. This paper proposes a Genetic algorithm -based path optimization to
obtain the most energy optimal path for the drone carrying a certain payload for a
set of specified destinations. | en_US |
