The capabilities and applications of new drones require a high demand of power that traditional batteries cannot sustain, triggering the need of developing strategies to promote efficient energy usage on drone platforms. However, to reduce the energy consumption it is required to have reliable means to measure the device's behavior and its relationship to the battery discharge. This paper introduces Green Flight, a software system that acquires data during a drone mission, featuring an online battery discharge analyzer and a real-time suggestions mode to help to optimize the overall power consumption of the drone, allowing for longer, more autonomous missions.
CITATION STYLE
Corral, L., Fronza, I., El Ioini, N., & Ibershimi, A. (2016). Towards optimization of energy consumption of drones with software-based flight analysis. In Proceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE (Vol. 2016-January, pp. 543–546). Knowledge Systems Institute Graduate School. https://doi.org/10.18293/SEKE2016-050
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