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Paper Abstract and Keywords
Presentation 2026-06-17 09:30
Toward Low-Overhead and Reliable Available Bandwidth Estimation for Adaptive Link Selection in Vehicular Environments
Tanida Kakeru, Nobayashi Daiki, Ikenaga Takeshi, Tsukamoto Kazuya (KIT), Okada Kazuya (Toyota Motor) IA2026-1 ICSS2026-1
Abstract (in Japanese) (See Japanese page) 
(in English) In connected cars, selecting the most appropriate link from multiple available options based on application requirements is essential for stable and reliable service delivery. As vehicles move, link conditions can change rapidly. This makes fast, low-overhead, and reliable available bandwidth estimation a key requirement. Existing methods, however, still suffer from long measurement times, high overhead, and unstable estimates.
In this paper, we improve RT-WABest for vehicular environments by reducing the number of probe packets and improving distribution estimation accuracy so that stable estimation can be achieved even with a small number of probes. RT-WABest estimates a reference rate for determining the PT transmission rate from the distribution of Packet-Pair (PP) measurements and instantaneous available bandwidth from the distribution of Packet-Train (PT) measurements. To investigate the fundamental characteristics of the proposed method, we evaluate the proposed method on a wired testbed where the ground truth is known.
The results show that, compared with RT-WABest, the proposed method maintains comparable estimation accuracy while reducing measurement traffic by approximately 64% and measurement time by at least approximately 55%, suggesting its potential applicability to adaptive link selection.
Keyword (in Japanese) (See Japanese page) 
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Reference Info. IEICE Tech. Rep., vol. 126, no. 73, IA2026-1, pp. 1-7, June 2026.
Paper # IA2026-1 
Date of Issue 2026-06-10 (IA, ICSS) 
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 IA2026-1 ICSS2026-1

Conference Information
Committee IA ICSS  
Conference Date 2026-06-17 - 2026-06-18 
Place (in Japanese) (See Japanese page) 
Place (in English) e-Topia, Kagawa BB Square 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Internet Security, etc. 
Paper Information
Registration To IA 
Conference Code 2026-06-IA-ICSS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Toward Low-Overhead and Reliable Available Bandwidth Estimation for Adaptive Link Selection in Vehicular Environments 
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1st Author's Name Tanida Kakeru  
1st Author's Affiliation Kyushu Institute of Technology (KIT)
2nd Author's Name Nobayashi Daiki  
2nd Author's Affiliation Kyushu Institute of Technology (KIT)
3rd Author's Name Ikenaga Takeshi  
3rd Author's Affiliation Kyushu Institute of Technology (KIT)
4th Author's Name Tsukamoto Kazuya  
4th Author's Affiliation Kyushu Institute of Technology (KIT)
5th Author's Name Okada Kazuya  
5th Author's Affiliation Toyota Motor Corporation (Toyota Motor)
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Speaker Author-1 
Date Time 2026-06-17 09:30:00 
Presentation Time 25 minutes 
Registration for IA 
Paper # IA2026-1, ICSS2026-1 
Volume (vol) vol.126 
Number (no) no.73(IA), no.74(ICSS) 
Page pp.1-7 
#Pages 7 
Date of Issue 2026-06-10 (IA, ICSS) 

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