A Measurement Tool to Track Drones Battery Consumption During Flights

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• 关键词：Autonomy ; Battery ; Drone ; Energy ; Mobile
• 刊名：Lecture Notes in Computer Science
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：9847
• 期：1
• 页码：334-344
• 全文大小：967 KB
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• 作者单位：Luis Corral (18)
  Ilenia Fronza (19)
  Nabil El Ioini (19)
  Aristea Ibershimi (19)
  
  18. ITESM/UAQ, E. Gonzalez 500, 76130, Queretaro, Mexico
  19. Free University of Bolzano, Piazza Domenicani, 3, 39100, Bolzano, Italy
  
• 丛书名：Mobile Web and Intelligent Information Systems
• ISBN：978-3-319-44215-0
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349
• 卷排序：9847

文摘

The autonomy of mobile systems depends greatly on the capability of the power source that supplies the necessary energy. Typically these sources are limited batteries that cannot keep up with the functionality and services that modern mobile equipment features. This situation motivates researchers and practitioners to develop strategies to promote efficient energy usage on mobile platforms. However, to reduce the energy consumption it is required to have reliable means to measure the devices behavior and its relationship to the battery discharge. This problem is relevant in platforms that depend strongly on batteries like cellphones, tablets, wearables, or drones. This paper focuses on drones, introducing a software system that acquires data during a drone mission, featuring an online battery discharge analyzer. The goal of this software is to provide a means to identify the operations that spend more energy and, as consequence, deliver the necessary information to avoid energy expensive movements and extend the battery lifetime for improved drone autonomy.