Abstract
AbstractUnmanned Aerial Vehicles (UAVs) are rapidly gaining popularity in a wide variety of applications, e.g., agriculture, health care, environmental management, supply chains, law enforcement, surveillance, and photography. Dones are often powered by batteries, making energy a critical resource that must be optimised during the mission of the drone. The duration of a done’s mission depends on the amount of energy required to perform some manoeuvering actions (takeoff, level flight, hovering, and landing), the energy required to power the ICT modules in the drone, the drone’s speed, payload, and the wind. In this paper, we present a model that minimizes the energy consumption of a low power drone and maximizes the time required to completely drain the drone’s battery and ensure the safe landing of the drone.
Publisher
Springer International Publishing
Reference34 articles.
1. Abdelrahman, O., Gelenbe, E.: A diffusion model for energy harvesting sensor nodes. In: Proceedings of 24th IEEE International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS), pp. 154–158. IEEE (2016)
2. Abdelrahman, O.H., Gelenbe, E.: Packet delay and energy consumption in non-homogeneous networks. Comput. J. 55(8), 950–964 (2012)
3. Abeywickrama, H.V., Jayawickrama, B.A., He, Y., Dutkiewicz, E.: Comprehensive energy consumption model for unmanned aerial vehicles, based on empirical studies of battery performance. IEEE Access 6, 58383–58394 (2018)
4. Arabi, S., Sabir, E., Elbiaze, H., Sadik, M.: Data gathering and energy transfer dilemma in UAV-assisted flying access network for IoT. Sensors 18(1519), 1–20 (2018)
5. Baek, D., Chen, Y., Poncino, M.: Battery-aware energy model of drone delivery tasks. In: Proceedings of the International Symposium on Low Power Electronics and Design, pp. 1–6. ACM (2018). https://doi.org/10.1145/3218603.3218614
Cited by
4 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献