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Paper Abstract and Keywords
Presentation 2026-03-04 10:20
Proposal and Robustness Evaluation of Spatially Partitioned Clustering based on Improved Artificial Bee Colony
Toki Yamamoto, Naomi Kuze (Wakayama Univ.) NS2025-237
Abstract (in Japanese) (See Japanese page) 
(in English) For large-scale FANETs, we propose a spatially partitioned IABCO-based clustering method to adapt to topology changes and to reduce computational overhead. The original IABCO algorithm, a conventional clustering algorithm, optimizes energy consumption and packet delivery rate (PDR), but its computational overhead is O(N^2), which degrades the adaptability to topology changes, especially in large-scale FANETs. Therefore, by partitioning the communication area for parallel processing, the proposed method significantly reduces the search space and computational overhead. Simulation results demonstrate that the proposed method achieves low energy consumption and high PDR while reducing the computational overhead by approximately 80% compared to the original IABCO.
Keyword (in Japanese) (See Japanese page) 
(in English) UAV / FANET / Clustering / Cluster Head Selection / Artificial Bee Colony Optimization / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 385, NS2025-237, pp. 95-100, March 2026.
Paper # NS2025-237 
Date of Issue 2026-02-25 (NS) 
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 NS2025-237

Conference Information
Committee IN NS  
Conference Date 2026-03-04 - 2026-03-06 
Place (in Japanese) (See Japanese page) 
Place (in English) Okinawa-Ken Shichoson Jichi Kaikan 
Topics (in Japanese) (See Japanese page) 
Topics (in English) General 
Paper Information
Registration To NS 
Conference Code 2026-03-IN-NS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Proposal and Robustness Evaluation of Spatially Partitioned Clustering based on Improved Artificial Bee Colony 
Sub Title (in English)  
Keyword(1) UAV  
Keyword(2) FANET  
Keyword(3) Clustering  
Keyword(4) Cluster Head Selection  
Keyword(5) Artificial Bee Colony Optimization  
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1st Author's Name Toki Yamamoto  
1st Author's Affiliation Wakayama University (Wakayama Univ.)
2nd Author's Name Naomi Kuze  
2nd Author's Affiliation Wakayama University (Wakayama Univ.)
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Speaker Author-1 
Date Time 2026-03-04 10:20:00 
Presentation Time 25 minutes 
Registration for NS 
Paper # NS2025-237 
Volume (vol) vol.125 
Number (no) no.385 
Page pp.95-100 
#Pages 6 
Date of Issue 2026-02-25 (NS) 

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