The Journal of China Universities of Posts and Telecommunications ›› 2022, Vol. 29 ›› Issue (2): 97-107.doi: 10. 19682/ j. cnki. 1005-8885. 2021. 0024

Previous Articles     Next Articles

Energy efficient data collection in UAV-assisted Internet of things: trajectory planning and aerodynamic-based attitude control


  • Received:2021-01-31 Revised:2021-04-01 Online:2022-04-26 Published:2022-04-26
  • Supported by:
    This work was supported by the National Science Foundation for Young Scientists of China Project (61801045), and the Beijing Natural Science Foundation (L192033).


Due to its inherent characteristics of flexible mobility, unmanned aerial vehicle (UAV) is exploited as a cost-efficient mobile platform to assist remote data collection in the 5th generation or beyond the 5th generation (5G/ B5G) wireless systems. Compared with static terrestrial base stations, the line-of-sight (LoS) link between UAVs and ground nodes are stronger due to their flexibility in three-dimensional (3D) space. Due to the fact that flexible mobility of UAVs requires high propulsion power, the limited on-board energy constrains the performance of UAV-assisted data collection. It is worth noting that UAVs can be categorized into rotary-wing UAVs and fixed-wing UAVs, either has its own characteristics in propulsion energy consumption. In this article, a comprehensive review of state-of-art studies on trajectory design schemes for rotary-wing UAVs, as well as aerodynamic-aware attitude control strategies for fixed-wing UAVs was provided. Then, two case studies for energy-efficient data collection using rotary-wing UAVs and fixed-wing UAVs were presented, respectively. More specifically, an age-energy aware data collection scheme was demonstrated for rotary-wing UAVs to optimize the timeliness of collected data. Moreover, an aerodynamic-aware attitude control strategy for fixed-wing UAVs was also demonstrated under data collection requirements.

Key words: unmanned aerial vehicle (UAV), path planning, wireless communication network, data collection

CLC Number: