| Paper Abstract and Keywords |
| Presentation |
2026-07-10 14:10
Obstacle-Aware UAV Sensor Network Deployment Using Iterative Margin-Maximization Approach Reina Kaneko, Junya Hara (UOsaka), Hiroshi Higashi (KansaiU), Yuichi Tanaka (UOsaka) CS2026-24 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
Unmanned aerial vehicle (UAV)-assisted wireless sensor networks improve connectivity in hard-to-reach areas, but their deployment becomes difficult in bounded regions with obstacles. In this paper, we propose a margin-maximizing UAV deployment for obstacle-aware wireless service.
It places coverage disks having different effective radii under boundary and obstacle-avoidance constraints. Our objective is margin maximization, that is, enlarging the minimum clearance among UAVs, obstacles, and region boundaries, to obtain layouts that are robust to interference and geometric perturbations. The proposed method, MARKL, jointly optimizes UAV locations and a shared geometric margin among UAVs, ROI boundaries, and obstacles. MARKL iteratively convexifies the geometric constraints that prevent overlap between coverage areas of UAVs and enlarges minimum distances from obstacles, other UAVs, and boundaries. Each resulting subproblem is then solved by a primal-dual hybrid gradient method with rotated second-order cone constraints. Numerical results show that MARKL consistently achieves the largest or second-largest active UAV among the compared methods, with particularly strong gains in obstacle-rich environments. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
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| Reference Info. |
IEICE Tech. Rep., vol. 126, no. 95, CS2026-24, pp. 51-56, July 2026. |
| Paper # |
CS2026-24 |
| Date of Issue |
2026-07-02 (CS) |
| ISSN |
Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
| Download PDF |
CS2026-24 |
| Conference Information |
| Committee |
CS |
| Conference Date |
2026-07-09 - 2026-07-10 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
|
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Semantic communications, Access networks, Underwater and underground communications, IoT, Cognitive radio, Coding scheme, etc. |
| Paper Information |
| Registration To |
CS |
| Conference Code |
2026-07-CS |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Obstacle-Aware UAV Sensor Network Deployment Using Iterative Margin-Maximization Approach |
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| 1st Author's Name |
Reina Kaneko |
| 1st Author's Affiliation |
The University of Osaka (UOsaka) |
| 2nd Author's Name |
Junya Hara |
| 2nd Author's Affiliation |
The University of Osaka (UOsaka) |
| 3rd Author's Name |
Hiroshi Higashi |
| 3rd Author's Affiliation |
Kansai University (KansaiU) |
| 4th Author's Name |
Yuichi Tanaka |
| 4th Author's Affiliation |
The University of Osaka (UOsaka) |
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| Speaker |
Author-1 |
| Date Time |
2026-07-10 14:10:00 |
| Presentation Time |
25 minutes |
| Registration for |
CS |
| Paper # |
CS2026-24 |
| Volume (vol) |
vol.126 |
| Number (no) |
no.95 |
| Page |
pp.51-56 |
| #Pages |
6 |
| Date of Issue |
2026-07-02 (CS) |