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Cooperative Trajectory Optimization for a Cellular Internet of UAVs

Published: 19 August 2019 Publication History

Abstract

In this poster, we study a cellular Internet of unmanned aerial vehicles (UAVs), in which one UAV collects data from ground sensors (GSs), and one UAV relays the sensory data to the base station (BS). Since the trajectories of these two UAVs have impact on each other, we formulate a cooperative trajectory optimization problem to minimize the completion time for all the tasks. To solve this non-convex problem, we propose an algorithm that solves the trajectories of the two UAVs iteratively. Simulation results show that the completion time for all the tasks in the proposed scheme is significantly improved than the non-cooperative scheme.

References

[1]
Y. Zeng, R. Zhang, and T. J. Lim, "Wireless communications with unmanned aerial vehicles: opportunities and challenges," IEEE Commun. Mag., vol. 54, no. 5, pp. 36--42, May 2016.
[2]
S. Zhang, H. Zhang, Q. He, K. Bian, and L. Song, "Joint trajectory and power optimization for UAV relay networks", IEEE Commun. Lett., vol. 22, no. 1, pp. 161--164, Jan. 2018.

Cited By

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  • (2020)Collisionless Fast Pattern Formation Mechanism for Dynamic Number of UAVsGLOBECOM 2020 - 2020 IEEE Global Communications Conference10.1109/GLOBECOM42002.2020.9322085(1-6)Online publication date: 7-Dec-2020

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cover image ACM Conferences
SIGCOMM Posters and Demos '19: Proceedings of the ACM SIGCOMM 2019 Conference Posters and Demos
August 2019
183 pages
ISBN:9781450368865
DOI:10.1145/3342280
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 19 August 2019

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Author Tags

  1. UAV sensing
  2. cellular Internet of UAVs
  3. cooperative trajectory optimization

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  • Short-paper
  • Research
  • Refereed limited

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SIGCOMM '19
Sponsor:
SIGCOMM '19: ACM SIGCOMM 2019 Conference
August 19 - 23, 2019
Beijing, China

Acceptance Rates

SIGCOMM Posters and Demos '19 Paper Acceptance Rate 62 of 102 submissions, 61%;
Overall Acceptance Rate 92 of 158 submissions, 58%

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Cited By

View all
  • (2020)Collisionless Fast Pattern Formation Mechanism for Dynamic Number of UAVsGLOBECOM 2020 - 2020 IEEE Global Communications Conference10.1109/GLOBECOM42002.2020.9322085(1-6)Online publication date: 7-Dec-2020

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