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research-article

UAV-assisted wireless powered Internet of Things: : Joint trajectory optimization and resource allocation

Authors:

Zihe GaoAuthors Info & Claims

Volume 98, Issue C

https://doi.org/10.1016/j.adhoc.2019.102052

Published: 01 March 2020 Publication History

Abstract

Due to affordable price, high mobility and flexible maneuverability, Unmanned Aerial Vehicle (UAV)-assisted communication can play an important role in the deployment of the Internet of Things (IoT) in emergency. Since UAV network performance is highly dependent on UAV deployment location, trajectory design becomes the research hotspot in UAV-assisted communication. To this end, a UAV-assisted multicarrier wireless powered communication model is proposed for IoT scenarios in this paper. Specifically, as an aerial base station, the UAV transmits Orthogonal Frequency Division Multiplexing (OFDM) signals to IoT nodes, while IoT nodes decode information and harvest energy from the signals. Afterwards, IoT nodes transmit information to the UAV by using the harvested energy. A joint UAV trajectory optimization and resource allocation scheme based on OFDM is proposed. The aim is to maximize the minimum achievable rate in the uplink among all IoT nodes by jointly optimizing UAV trajectory, subcarrier, power and subslot allocation, subject to the achievable sum rate of all IoT nodes in the downlink. Due to the non-convexity and complexity of the formulated optimization problem, an alternative iteration algorithm is proposed to deal with the problem. Simulation results that the proposed algorithm can optimize the UAV trajectory and adapt to the node movement. Compared with conventional resource allocation schemes, the proposed scheme not only significantly enhances the minimum achievable rate, but also works well for two flight modes.

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Cited By

Azarhava HAbdollahi MNiya JTinati M(2024)Joint resource allocation and UAV placement in UAV-assisted Wireless Powered Sensor Networks using TDMA and NOMAAd Hoc Networks10.1016/j.adhoc.2024.103459157:COnline publication date: 15-Apr-2024
https://dl.acm.org/doi/10.1016/j.adhoc.2024.103459
Shen ZJin JTan CTagami AWang SLi QZheng QYuan J(2023)A Survey of Next-generation Computing Technologies in Space-air-ground Integrated NetworksACM Computing Surveys10.1145/360601856:1(1-40)Online publication date: 28-Aug-2023
https://dl.acm.org/doi/10.1145/3606018
Shen GChen WZhu BChi KChen X(2023)DRL based binary computation offloading in wireless powered mobile edge computingIET Communications10.1049/cmu2.1265817:15(1837-1849)Online publication date: 15-Jul-2023
https://dl.acm.org/doi/10.1049/cmu2.12658
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Index Terms

UAV-assisted wireless powered Internet of Things: Joint trajectory optimization and resource allocation
1. Networks
  1. Network types
    1. Mobile networks
    2. Wireless access networks

Index terms have been assigned to the content through auto-classification.

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Information & Contributors

Information

Published In

cover image Ad Hoc Networks

Ad Hoc Networks Volume 98, Issue C

Mar 2020

227 pages

ISSN:1570-8705

Issue’s Table of Contents

Elsevier B.V.

Publisher

Elsevier Science Publishers B. V.

Netherlands

Publication History

Published: 01 March 2020

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Cited By

Azarhava HAbdollahi MNiya JTinati M(2024)Joint resource allocation and UAV placement in UAV-assisted Wireless Powered Sensor Networks using TDMA and NOMAAd Hoc Networks10.1016/j.adhoc.2024.103459157:COnline publication date: 15-Apr-2024
https://dl.acm.org/doi/10.1016/j.adhoc.2024.103459
Shen ZJin JTan CTagami AWang SLi QZheng QYuan J(2023)A Survey of Next-generation Computing Technologies in Space-air-ground Integrated NetworksACM Computing Surveys10.1145/360601856:1(1-40)Online publication date: 28-Aug-2023
https://dl.acm.org/doi/10.1145/3606018
Shen GChen WZhu BChi KChen X(2023)DRL based binary computation offloading in wireless powered mobile edge computingIET Communications10.1049/cmu2.1265817:15(1837-1849)Online publication date: 15-Jul-2023
https://dl.acm.org/doi/10.1049/cmu2.12658
Wang XLiu XWu JJu WChen XShen L(2022)Joint User Scheduling, Power Configuration and Trajectory Planning Strategy for UAV-Aided WSNsACM Transactions on Sensor Networks10.1145/352950819:1(1-27)Online publication date: 8-Dec-2022
https://dl.acm.org/doi/10.1145/3529508
Manogaran GRawal BSong HWang HHsu CSaravanan VKadry SShakeel P(2022)Optimal Energy-Centric Resource Allocation and Offloading Scheme for Green Internet of Things Using Machine LearningACM Transactions on Internet Technology10.1145/343150022:2(1-19)Online publication date: 14-May-2022
https://dl.acm.org/doi/10.1145/3431500
Taimoor SFerdouse LEjaz W(2022)Holistic resource management in UAV-assisted wireless networksJournal of Network and Computer Applications10.1016/j.jnca.2022.103439205:COnline publication date: 1-Sep-2022
https://dl.acm.org/doi/10.1016/j.jnca.2022.103439
Pakrooh RBohlooli A(2021)A Survey on Unmanned Aerial Vehicles-Assisted Internet of Things: A Service-Oriented ClassificationWireless Personal Communications: An International Journal10.1007/s11277-021-08294-6119:2(1541-1575)Online publication date: 1-Jul-2021
https://dl.acm.org/doi/10.1007/s11277-021-08294-6

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