Mission time minimization for multi-UAV-enabled wireless powered data collection systems

Guangyu Zhu; Xidong Mu; Li Guo; Shibiao Xu

doi:10.1109/GCWkshps58843.2023.10464437

Mission time minimization for multi-UAV-enabled wireless powered data collection systems

Guangyu Zhu
, Xidong Mu
, Li Guo^*
, Shibiao Xu

^*Corresponding author for this work

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

Abstract

A multi-unmanned aerial vehicle (UAV)-enabled wireless powered data collection system is investigated. More particularly, multiple rotary-wing UAVs are dispatched to collect data and broadcast wireless power to ground sensor nodes (SNs) simultaneously. Based on this setup, a mission completion time minimization problem is formulated by jointly optimizing the trajectory of UAVs and the time scheduling between UAVs and SNs, subject to both the UAVs data collection and the SNs energy harvesting constraints. To solve this challenging mixed integer non-convex optimization problem (MINCOP), a bisection search based alternating optimization (AO) algorithm is proposed, where the subproblems are alternately solved for a given time coefficient. Numerical results demonstrate that the proposed multi-UAV collaboration scheme achieves a significant mission time reduction compared to other benchmark schemes.

Original language	English
Title of host publication	2023 IEEE Globecom Workshops, GC Wkshps 2023: Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1704-1709
Number of pages	6
ISBN (Electronic)	9798350370218
ISBN (Print)	9798350370225
DOIs	https://doi.org/10.1109/GCWkshps58843.2023.10464437
Publication status	Published - 21 Mar 2024
Externally published	Yes
Event	2023 IEEE Globecom Workshops, GC Wkshps 2023 - Kuala Lumpur, Malaysia Duration: 04 Dec 2023 → 08 Dec 2023

Publication series

Name	IEEE Globecom Workshops (GC Wkshps): Proceedings
ISSN (Print)	2166-0077

Conference

Conference	2023 IEEE Globecom Workshops, GC Wkshps 2023
Country/Territory	Malaysia
City	Kuala Lumpur
Period	04/12/2023 → 08/12/2023

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

mission completion time
time scheduling
trajectory design
unmanned aerial vehicle
wireless powered data collection

ASJC Scopus subject areas

Computer Networks and Communications
Electrical and Electronic Engineering
Communication

Access to Document

10.1109/GCWkshps58843.2023.10464437Licence: Unspecified

Cite this

Zhu, G., Mu, X., Guo, L., & Xu, S. (2024). Mission time minimization for multi-UAV-enabled wireless powered data collection systems. In 2023 IEEE Globecom Workshops, GC Wkshps 2023: Proceedings (pp. 1704-1709). (IEEE Globecom Workshops (GC Wkshps): Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GCWkshps58843.2023.10464437

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title = "Mission time minimization for multi-UAV-enabled wireless powered data collection systems",

abstract = "A multi-unmanned aerial vehicle (UAV)-enabled wireless powered data collection system is investigated. More particularly, multiple rotary-wing UAVs are dispatched to collect data and broadcast wireless power to ground sensor nodes (SNs) simultaneously. Based on this setup, a mission completion time minimization problem is formulated by jointly optimizing the trajectory of UAVs and the time scheduling between UAVs and SNs, subject to both the UAVs data collection and the SNs energy harvesting constraints. To solve this challenging mixed integer non-convex optimization problem (MINCOP), a bisection search based alternating optimization (AO) algorithm is proposed, where the subproblems are alternately solved for a given time coefficient. Numerical results demonstrate that the proposed multi-UAV collaboration scheme achieves a significant mission time reduction compared to other benchmark schemes.",

keywords = "mission completion time, time scheduling, trajectory design, unmanned aerial vehicle, wireless powered data collection",

author = "Guangyu Zhu and Xidong Mu and Li Guo and Shibiao Xu",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE Globecom Workshops, GC Wkshps 2023 ; Conference date: 04-12-2023 Through 08-12-2023",

year = "2024",

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day = "21",

doi = "10.1109/GCWkshps58843.2023.10464437",

language = "English",

isbn = "9798350370225",

series = "IEEE Globecom Workshops (GC Wkshps): Proceedings",

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}

Zhu, G, Mu, X, Guo, L & Xu, S 2024, Mission time minimization for multi-UAV-enabled wireless powered data collection systems. in 2023 IEEE Globecom Workshops, GC Wkshps 2023: Proceedings. IEEE Globecom Workshops (GC Wkshps): Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 1704-1709, 2023 IEEE Globecom Workshops, GC Wkshps 2023, Kuala Lumpur, Malaysia, 04/12/2023. https://doi.org/10.1109/GCWkshps58843.2023.10464437

Mission time minimization for multi-UAV-enabled wireless powered data collection systems. / Zhu, Guangyu; Mu, Xidong; Guo, Li et al.
2023 IEEE Globecom Workshops, GC Wkshps 2023: Proceedings. Institute of Electrical and Electronics Engineers Inc., 2024. p. 1704-1709 (IEEE Globecom Workshops (GC Wkshps): Proceedings).

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

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T1 - Mission time minimization for multi-UAV-enabled wireless powered data collection systems

AU - Zhu, Guangyu

AU - Mu, Xidong

AU - Guo, Li

AU - Xu, Shibiao

PY - 2024/3/21

Y1 - 2024/3/21

N2 - A multi-unmanned aerial vehicle (UAV)-enabled wireless powered data collection system is investigated. More particularly, multiple rotary-wing UAVs are dispatched to collect data and broadcast wireless power to ground sensor nodes (SNs) simultaneously. Based on this setup, a mission completion time minimization problem is formulated by jointly optimizing the trajectory of UAVs and the time scheduling between UAVs and SNs, subject to both the UAVs data collection and the SNs energy harvesting constraints. To solve this challenging mixed integer non-convex optimization problem (MINCOP), a bisection search based alternating optimization (AO) algorithm is proposed, where the subproblems are alternately solved for a given time coefficient. Numerical results demonstrate that the proposed multi-UAV collaboration scheme achieves a significant mission time reduction compared to other benchmark schemes.

AB - A multi-unmanned aerial vehicle (UAV)-enabled wireless powered data collection system is investigated. More particularly, multiple rotary-wing UAVs are dispatched to collect data and broadcast wireless power to ground sensor nodes (SNs) simultaneously. Based on this setup, a mission completion time minimization problem is formulated by jointly optimizing the trajectory of UAVs and the time scheduling between UAVs and SNs, subject to both the UAVs data collection and the SNs energy harvesting constraints. To solve this challenging mixed integer non-convex optimization problem (MINCOP), a bisection search based alternating optimization (AO) algorithm is proposed, where the subproblems are alternately solved for a given time coefficient. Numerical results demonstrate that the proposed multi-UAV collaboration scheme achieves a significant mission time reduction compared to other benchmark schemes.

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ER -

Mission time minimization for multi-UAV-enabled wireless powered data collection systems

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this