• Joint Trajectory and Velocity-...

Treffer: Joint Trajectory and Velocity-Time Optimization for Throughput Maximization in Energy Constrained UAV

Title:
Joint Trajectory and Velocity-Time Optimization for Throughput Maximization in Energy Constrained UAV
Authors:
Gupta, N, Agarwal, S, Mishra, D
Source:
urn:ISSN:2327-4662 ; IEEE Internet of Things Journal, 9, 23, 24516-24528
Publisher Information:
IEEE
Publication Year:
2022
Collection:
UNSW Sydney (The University of New South Wales): UNSWorks
Subject Terms:
4605 Data Management and Data Science, 46 Information and Computing Sciences, 40 Engineering, 7 Affordable and Clean Energy, anzsrc-for: 4605 Data Management and Data Science, anzsrc-for: 46 Information and Computing Sciences, anzsrc-for: 40 Engineering, anzsrc-for: 0805 Distributed Computing, anzsrc-for: 1005 Communications Technologies
Document Type:
Fachzeitschrift article in journal/newspaper
File Description:
application/pdf
Language:
unknown
Relation:
http://hdl.handle.net/1959.4/unsworks_80845; https://doi.org/10.1109/JIOT.2022.3189689
DOI:
10.1109/JIOT.2022.3189689
Availability:
http://hdl.handle.net/1959.4/unsworks_80845
https://unsworks.unsw.edu.au/bitstreams/e7e45c38-e6be-41a1-91d7-8a5396603040/download
https://doi.org/10.1109/JIOT.2022.3189689
Rights:
open access ; https://purl.org/coar/access_right/c_abf2 ; CC-BY ; https://creativecommons.org/licenses/by/4.0/ ; free_to_read ; © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Accession Number:
edsbas.ECED44EE
Database:
BASE

Weitere Informationen

In this paper, we aim to study an unmanned aerial vehicle (UAV)-assisted Internet-of-Things (IoT) communication system where a rotary-wing UAV travels from the initial to the final location to communicate with multiple IoT ground devices. The limited onboard energy of the UAV pose a constraint to the overall system’s performance. UAV’s energy consumption is majorly based on its kinematics, i.e., UAV’s velocity and acceleration. Therefore, in this work, we maximize the sum user throughput by jointly optimizing the three-dimensional (3D) UAV trajectory, and velocity-time profile in the presence of onboard energy, velocity, acceleration and completion time constraints. Noting the non-convexity of the optimization problem, the original problem is decoupled into two sub-problems. First, the trajectory is optimized considering the velocity constraint, while in the second sub-problem, the velocity and time optimization in each time slot is carried out. Simulation results show insights on the UAV trajectory and velocity-time profile with the variation in the onboard energy availability. In addition, we demonstrate the superior performance of the proposed approach in comparison to the benchmark schemes.