Towards optimization of energy consumption of drones with software-based flight analysis

3Citations
Citations of this article
27Readers
Mendeley users who have this article in their library.

Abstract

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.

Author supplied keywords

Cite

CITATION STYLE

APA

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

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free