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Paper Abstract and Keywords
Presentation 2026-09-16 11:25
Design of a Network System for Estimating Internal States of Wildlife Traps Using Wireless Sensing
Koki Uchimaki, Hideaki Miyaji, Hiroshi Yamamoto (Ritsumeikan Univ.) IA2026-41
Abstract (in Japanese) (See Japanese page) 
(in English) Crop damage caused by wildlife such as deer, wild boars, and monkeys has become increasingly serious, and large capture traps are used to capture entire groups. Successful group capture requires knowledge of the spatial distribution of animals inside the trap to determine an appropriate timing for closing the gate. However, power supply and communication bandwidth are limited in mountainous areas, making continuous camera operation and high-quality video transmission difficult. This study proposes a network system that continuously estimates the spatial distribution of animals inside a trap through radio sensing using low-power sensor nodes supporting Bluetooth Low Energy (BLE) communication and activates a camera for directly observing the inside of the trap and a gateway for video transmission only when the distribution changes. Sensor nodes capable of both transmitting and receiving radio waves for sensing form multiple radio links inside the trap. An autoencoder-based machine learning model calculates a presence score for each radio link, representing the degree of change from the empty-trap condition. The presence scores estimated by the receivers are superimposed to generate a heatmap representing the spatial distribution of animals inside the trap. Based on changes in this spatial distribution, the system determines whether the camera and gateway need to be activated. Outdoor mock experiments are conducted on a university campus using humans as observation targets to evaluate spatial distribution estimation and gateway activation during target movement, simultaneous occupancy at multiple positions, and changes in the number of targets. The experimental results show that the proposed system captures the spatial distribution of targets and its changes inside the trap and activates the camera only when necessary.
Keyword (in Japanese) (See Japanese page) 
(in English) radio wave sensing / BLE / Autoencoder / wildlife trapping / LPWA / / /  
Reference Info. IEICE Tech. Rep., vol. 126, no. 180, IA2026-41, pp. 94-99, Sept. 2026.
Paper # IA2026-41 
Date of Issue 2026-09-08 (IA) 
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 IA2026-41

Conference Information
Committee IA  
Conference Date 2026-09-15 - 2026-09-16 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokkaido Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Internet Operation and Management, Network Architecture, Communication Protocols, IoT, etc. 
Paper Information
Registration To IA 
Conference Code 2026-09-IA 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Design of a Network System for Estimating Internal States of Wildlife Traps Using Wireless Sensing 
Sub Title (in English)  
Keyword(1) radio wave sensing  
Keyword(2) BLE  
Keyword(3) Autoencoder  
Keyword(4) wildlife trapping  
Keyword(5) LPWA  
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Keyword(7)  
Keyword(8)  
1st Author's Name Koki Uchimaki  
1st Author's Affiliation Ritsumeikan University (Ritsumeikan Univ.)
2nd Author's Name Hideaki Miyaji  
2nd Author's Affiliation Ritsumeikan University (Ritsumeikan Univ.)
3rd Author's Name Hiroshi Yamamoto  
3rd Author's Affiliation Ritsumeikan University (Ritsumeikan Univ.)
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Speaker Author-1 
Date Time 2026-09-16 11:25:00 
Presentation Time 25 minutes 
Registration for IA 
Paper # IA2026-41 
Volume (vol) vol.126 
Number (no) no.180 
Page pp.94-99 
#Pages 6 
Date of Issue 2026-09-08 (IA) 

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