The Incorporation of Drones as Object of Study in Energy-aware Software Engineering

Luis Corral, Ilenia Fronza, Nabil El Ioini

Abstract

As drones expand their ability to perform longer and more complex tasks, one of the first concerns that rise is their capacity to perform those tasks in a reliable way. Reliability can be understood from different aspects: the ability of the drone to perform accurately, safely and autonomously. In this paper, we focus on understanding the current efforts to ensure the last quality, autonomy, from the point of view of energy-awareness for drone systems. It emerges that drones as object of study in energy aware Software Engineering is still an emerging, unexplored area, which requires to learn from advances and experimentation in other mobile and ubiquitous devices like cellular phones or tablets. Still, it is required to understand the opportunities and limitations of drones as computational targets. A research agenda should be set and followed to leverage software as an opportunity to foster drones as energy-aware devices.

References

  1. Abdullah, Q. (2016). Classification of the unmanned aerial systems. https://www.eeducation.psu.edu/geog892/node/5. Accessed on March 10th, 2017.
  2. Boucher, P. (2014). Civil Drones in Society, Societal and Ethics Aspects of Remotely Piloted Aircraft Systems. Technical report, European Commission, Joint Research Centre, Institute for the Protection and Security of the Citizen.
  3. Capra, E., Francalanci, C., and Slaughter, S. A. (2012). Measuring application software energy efficiency. IT Professional, 14(2):54-61.
  4. Clarke, R. (2014). Understanding the drone epidemic. Computer Law & Security Review, 30(3):230-246.
  5. Corral, L., Fronza, I., and El Ioini, N. (2015). The future of energy-aware software: The case of drones. Cutter IT Journal, 28(8):19-23.
  6. Corral, L., Fronza, I., El Ioini, N., and Ibershimi, A. (2016a). A measurement tool to track drones battery consumption during flights. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9847:334-344.
  7. Corral, L., Fronza, I., El Ioini, N., and Ibershimi, A. (2016b). Towards optimization of energy consumption of drones with software-based flight analysis. volume 2016-January, pages 543-546.
  8. da Silva, R. I. and Nascimento, M. A. (2016). On best drone tour plans for data collection in wireless sensor network. In Proceedings of the 31st Annual ACM Symposium on Applied Computing, pages 703-708. ACM.
  9. de Fatima Bento, M. (2008). Unmanned Aerial Vehicles: An Overview. Inside GNSS, 3(1):54-61.
  10. Di Franco, C. and Buttazzo, G. (2015). Energy-aware coverage path planning of uavs. In Autonomous Robot Systems and Competitions (ICARSC), 2015 IEEE International Conference on, pages 111-117. IEEE.
  11. Huang, Y.-T., Ho, Y.-H., Chu, H.-h., and Chen, L.-J. (2015). Adaptive drone sensing with always return-to-home guaranteed. In Proceedings of the 1st International Workshop on Experiences with the Design and Implementation of Smart Objects, pages 7-12. ACM.
  12. Min, A. W., Wang, R., Tsai, J., Ergin, M. A., and Tai, T.- Y. C. (2012). Improving energy efficiency for mobile platforms by exploiting low-power sleep states. In Proceedings of the 9th conference on Computing Frontiers, pages 133-142. ACM.
  13. Pace, P., Aloi, G., Caliciuri, G., and Fortino, G. (2015). Management and coordination framework for aerialterrestrial smart drone networks. In Proceedings of the 1st International Workshop on Experiences with the Design and Implementation of Smart Objects, pages 37-42. ACM.
  14. Park, S., Zhang, L., and Chakraborty, S. (2016). Design space exploration of drone infrastructure for largescale delivery services. In Proceedings of the 35th International Conference on Computer-Aided Design, page 72. ACM.
  15. Paul, K. and Kundu, T. K. (2010). Android on mobile devices: An energy perspective. In Computer and Information Technology (CIT), 2010 IEEE 10th International Conference on, pages 2421-2426. IEEE.
  16. Scaramuzza, D., Achtelik, M. C., Doitsidis, L., Friedrich, F., Kosmatopoulos, E., Martinelli, A., Achtelik, M. W., Chli, M., Chatzichristofis, S., Kneip, L., et al. (2014). Vision-controlled micro flying robots: from system design to autonomous navigation and mapping in gps-denied environments. IEEE Robotics & Automation Magazine, 21(3):26-40.
  17. Starr, M. (2014). Ambulance drone delivers help to heart attack victims. http://www.cnet.com/news/ambulancedrone-delivers-help-to-heart-attack-victims/. Accessed on January 10th, 2016.
  18. Sydney, School of Surveying & Spatial Information Systems Faculty of Engineering (2016). UAV mapping concept. http://www.sage.unsw.edu.au/currentstudents/ug/ projects/Salameh/Physical%20Characteristics.htm. Accessed on February 5th, 2016.
  19. Trentino (2015). Precipita un drone, dramma sfiorato alla 3tre di campiglio. http://trentinocorrierealpi.gelocal.it/trento/cronaca/ 2015/12/22/news/. Accessed on December 26th, 2015.
  20. Vallina-Rodriguez, N. and Crowcroft, J. (2013). Energy management techniques in modern mobile handsets. IEEE Communications Surveys & Tutorials, 15(1):179-198.
  21. Vieira, A., Debastiani, D., Agostini, L., Marques, F., and Mattos, J. C. (2012). Performance and energy consumption analysis of embedded applications based on android platform. In Computing System Engineering (SBESC), 2012 Brazilian Symposium on, pages 59- 64. IEEE.
  22. Watts, A. C., Ambrosia, V. G., and Hinkley, E. A. (2012). Unmanned aircraft systems in remote sensing and scientific research: Classification and considerations of use. Remote Sensing, 4(6):1671-1692.
  23. Wong, K. V. (2015). Research and development of drones for peace?high power high energy supply required. Journal of Energy Resources Technology, 137(3):034702.
  24. Zorbas, D., Razafindralambo, T., Guerriero, F., et al. (2013). Energy efficient mobile target tracking using flying drones. Procedia Computer Science, 19:80-87.
Download


Paper Citation


in Harvard Style

Corral L., Fronza I. and El Ioini N. (2017). The Incorporation of Drones as Object of Study in Energy-aware Software Engineering . In Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-758-248-6, pages 721-726. DOI: 10.5220/0006338607210726


in Bibtex Style

@conference{iceis17,
author={Luis Corral and Ilenia Fronza and Nabil El Ioini},
title={The Incorporation of Drones as Object of Study in Energy-aware Software Engineering},
booktitle={Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2017},
pages={721-726},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006338607210726},
isbn={978-989-758-248-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - The Incorporation of Drones as Object of Study in Energy-aware Software Engineering
SN - 978-989-758-248-6
AU - Corral L.
AU - Fronza I.
AU - El Ioini N.
PY - 2017
SP - 721
EP - 726
DO - 10.5220/0006338607210726