Power Consumption Analysis of UAVs with Varying Payloads for Next Generation Wireless Networks

Authors

  • Saif Ahmed
    • Nimul Islam Emon Bangladesh University of Engineering and Technology

      DOI:

      https://doi.org/10.47981/j.mijst.13(02)2025.511(85-95)

      Keywords:

      Unmanned Aerial Vehicle(UAV), Power Consumption of UAV, Payload, Wireless Network

      Abstract

      Unmanned Aerial Vehicles (UAVs) are emerging as an important component for enhancing the coverage and capacity of next generation wireless networks. However, the use of Unmanned Aerial Vehicles (UAVs) is challenging because of crucial power management. The power management becomes more sophisticated for rotary-wing UAVs, the most commonly used one, which require more energy as payload and flight actions increase. The current study investigates the energy consumption of Unmanned Aerial Vehicles (UAVs) with varied payloads during hovering and moving operations. Numerous payloads that include and enable UAVs are investigated in terms of their impact on energy consumption throughout varied missions. We investigate the effects of payloads such as cameras, sensors, GPS modules, communication systems, and flight controllers on UAV power consumption. Key findings show how payload configuration and flying conditions affect energy requirements, providing insights into optimizing UAV design and operation in next-generation wireless networks. This work also includes a full comparative analysis of payload weights and energy consumption, as well as the significance of UAVs in enabling 6G networks. This rigorous analysis of power consumption provides some valuable insights into developing UAV systems efficiently. The findings are expected to help researchers and engineers develop more energy-efficient UAVs, resulting in extended flight periods and improved operational reliability.

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      Published

      31-12-2025

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      How to Cite

      Ahmed, S., & Islam Emon, N. (2025). Power Consumption Analysis of UAVs with Varying Payloads for Next Generation Wireless Networks. MIST INTERNATIONAL JOURNAL OF SCIENCE AND TECHNOLOGY, 13(2), 85-95. https://doi.org/10.47981/j.mijst.13(02)2025.511(85-95)

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