Energy-Efficient 3D Trajectory Optimization for UAV-Aided Wireless Sensor Networks

Yue Ma; Yanqun Tang; Zhongjun Mao; Di Zhang; Chao Yang; Wei Li

doi:10.1109/GLOBECOM54140.2023.10437008

Energy-Efficient 3D Trajectory Optimization for UAV-Aided Wireless Sensor Networks

Yue Ma, Yanqun Tang^*, Zhongjun Mao, Di Zhang, Chao Yang, Wei Li

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

Abstract

In non-terrestrial networks (NTN), optimal planning of the optimization problem of 3-dimensional (3D) trajectory is a key research topic. In this article, the optimization problem of the unmanned aerial vehicle (UAV) aided wireless sensor networks is addressed. To maximize the energy efficiency (EE) performance, we formulate the 3D trajectory optimization problem as a non-convex optimization and divide it into two sub-problems, the UAV's horizontal trajectory optimization problem with given altitude and the UAV's altitude optimization problem with given horizontal location. By combining with the discrete linear state-space approximation method, the energy-efficient algorithm with given transmit power of each sensor is proposed. Numerical results show that the proposed methods achieve significant improvements compared to the existing; EE schemes.

Original language	English
Title of host publication	GLOBECOM 2023 - 2023 IEEE Global Communications Conference
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	6591-6596
Number of pages	6
ISBN (Electronic)	9798350310900
DOIs	https://doi.org/10.1109/GLOBECOM54140.2023.10437008
Publication status	Published - 2023
Externally published	Yes
Event	2023 IEEE Global Communications Conference, GLOBECOM 2023 - Kuala Lumpur, Malaysia Duration: 4 Dec 2023 → 8 Dec 2023

Publication series

Name	Proceedings - IEEE Global Communications Conference, GLOBECOM
ISSN (Print)	2334-0983
ISSN (Electronic)	2576-6813

Conference

Conference	2023 IEEE Global Communications Conference, GLOBECOM 2023
Country/Territory	Malaysia
City	Kuala Lumpur
Period	4/12/23 → 8/12/23

Keywords

Unmanned aerial vehicle
energy efficiency
trajectory optimization
wireless sensor networks

Access to Document

10.1109/GLOBECOM54140.2023.10437008

Cite this

Ma, Y., Tang, Y., Mao, Z., Zhang, D., Yang, C., & Li, W. (2023). Energy-Efficient 3D Trajectory Optimization for UAV-Aided Wireless Sensor Networks. In GLOBECOM 2023 - 2023 IEEE Global Communications Conference (pp. 6591-6596). (Proceedings - IEEE Global Communications Conference, GLOBECOM). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GLOBECOM54140.2023.10437008

@inproceedings{c68864529c6c4fcba51859bb14f97ccc,

title = "Energy-Efficient 3D Trajectory Optimization for UAV-Aided Wireless Sensor Networks",

abstract = "In non-terrestrial networks (NTN), optimal planning of the optimization problem of 3-dimensional (3D) trajectory is a key research topic. In this article, the optimization problem of the unmanned aerial vehicle (UAV) aided wireless sensor networks is addressed. To maximize the energy efficiency (EE) performance, we formulate the 3D trajectory optimization problem as a non-convex optimization and divide it into two sub-problems, the UAV's horizontal trajectory optimization problem with given altitude and the UAV's altitude optimization problem with given horizontal location. By combining with the discrete linear state-space approximation method, the energy-efficient algorithm with given transmit power of each sensor is proposed. Numerical results show that the proposed methods achieve significant improvements compared to the existing; EE schemes.",

keywords = "Unmanned aerial vehicle, energy efficiency, trajectory optimization, wireless sensor networks",

author = "Yue Ma and Yanqun Tang and Zhongjun Mao and Di Zhang and Chao Yang and Wei Li",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE Global Communications Conference, GLOBECOM 2023 ; Conference date: 04-12-2023 Through 08-12-2023",

year = "2023",

doi = "10.1109/GLOBECOM54140.2023.10437008",

language = "English",

series = "Proceedings - IEEE Global Communications Conference, GLOBECOM",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "6591--6596",

booktitle = "GLOBECOM 2023 - 2023 IEEE Global Communications Conference",

address = "United States",

}

Ma, Y, Tang, Y, Mao, Z, Zhang, D, Yang, C & Li, W 2023, Energy-Efficient 3D Trajectory Optimization for UAV-Aided Wireless Sensor Networks. in GLOBECOM 2023 - 2023 IEEE Global Communications Conference. Proceedings - IEEE Global Communications Conference, GLOBECOM, Institute of Electrical and Electronics Engineers Inc., pp. 6591-6596, 2023 IEEE Global Communications Conference, GLOBECOM 2023, Kuala Lumpur, Malaysia, 4/12/23. https://doi.org/10.1109/GLOBECOM54140.2023.10437008

Energy-Efficient 3D Trajectory Optimization for UAV-Aided Wireless Sensor Networks. / Ma, Yue; Tang, Yanqun; Mao, Zhongjun et al.
GLOBECOM 2023 - 2023 IEEE Global Communications Conference. Institute of Electrical and Electronics Engineers Inc., 2023. p. 6591-6596 (Proceedings - IEEE Global Communications Conference, GLOBECOM).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Energy-Efficient 3D Trajectory Optimization for UAV-Aided Wireless Sensor Networks

AU - Ma, Yue

AU - Tang, Yanqun

AU - Mao, Zhongjun

AU - Zhang, Di

AU - Yang, Chao

AU - Li, Wei

PY - 2023

Y1 - 2023

N2 - In non-terrestrial networks (NTN), optimal planning of the optimization problem of 3-dimensional (3D) trajectory is a key research topic. In this article, the optimization problem of the unmanned aerial vehicle (UAV) aided wireless sensor networks is addressed. To maximize the energy efficiency (EE) performance, we formulate the 3D trajectory optimization problem as a non-convex optimization and divide it into two sub-problems, the UAV's horizontal trajectory optimization problem with given altitude and the UAV's altitude optimization problem with given horizontal location. By combining with the discrete linear state-space approximation method, the energy-efficient algorithm with given transmit power of each sensor is proposed. Numerical results show that the proposed methods achieve significant improvements compared to the existing; EE schemes.

AB - In non-terrestrial networks (NTN), optimal planning of the optimization problem of 3-dimensional (3D) trajectory is a key research topic. In this article, the optimization problem of the unmanned aerial vehicle (UAV) aided wireless sensor networks is addressed. To maximize the energy efficiency (EE) performance, we formulate the 3D trajectory optimization problem as a non-convex optimization and divide it into two sub-problems, the UAV's horizontal trajectory optimization problem with given altitude and the UAV's altitude optimization problem with given horizontal location. By combining with the discrete linear state-space approximation method, the energy-efficient algorithm with given transmit power of each sensor is proposed. Numerical results show that the proposed methods achieve significant improvements compared to the existing; EE schemes.

KW - Unmanned aerial vehicle

KW - energy efficiency

KW - trajectory optimization

KW - wireless sensor networks

UR - http://www.scopus.com/inward/record.url?scp=85187347830&partnerID=8YFLogxK

U2 - 10.1109/GLOBECOM54140.2023.10437008

DO - 10.1109/GLOBECOM54140.2023.10437008

M3 - Conference contribution

AN - SCOPUS:85187347830

T3 - Proceedings - IEEE Global Communications Conference, GLOBECOM

SP - 6591

EP - 6596

BT - GLOBECOM 2023 - 2023 IEEE Global Communications Conference

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2023 IEEE Global Communications Conference, GLOBECOM 2023

Y2 - 4 December 2023 through 8 December 2023

ER -

Ma Y, Tang Y, Mao Z, Zhang D, Yang C, Li W. Energy-Efficient 3D Trajectory Optimization for UAV-Aided Wireless Sensor Networks. In GLOBECOM 2023 - 2023 IEEE Global Communications Conference. Institute of Electrical and Electronics Engineers Inc. 2023. p. 6591-6596. (Proceedings - IEEE Global Communications Conference, GLOBECOM). doi: 10.1109/GLOBECOM54140.2023.10437008

Energy-Efficient 3D Trajectory Optimization for UAV-Aided Wireless Sensor Networks

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this