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

doi:10.19682/j.cnki.1005-8885.2021.0024

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

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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).

Abstract

Abstract:

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:

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

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