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Paper Abstract and Keywords
Presentation 2026-06-19 15:40
A Systematic Review and Mixed-Methods Evaluation of Green Energy-Efficient Practices in Industrial IoT Systems
P H P Umesh Randika Pathirana, Sameera Abar, Yutaka Takahashi (KCGI) NS2026-45
Abstract (in Japanese) (See Japanese page) 
(in English) The rapid growth of Industrial Internet of Things (IIoT) systems has led to increased energy consumption across the sensing, communication, edge, and cloud layers, raising critical sustainability concerns. This paper presents a systematic and reproducible evaluation of energy-efficient practices in IIoT, focusing on four dominant strategies: energy-aware routing, adaptive power management, edge computing, and AI-driven optimization. A structured review of 50 peer-reviewed studies published primarily between 2018 and 2025 was conducted using a mixed-methods approach that combines semi-quantitative performance scoring with automated keyword-based analysis and AI semantic-based evaluation. A custom Python-based evaluation tool was developed to support reproducibility and extensibility across different themes and application domains. Lightweight semantic relevance analysis and keyword co-occurrence validation further strengthened the assessment. Results indicate that edge computing exhibits the greatest energy-saving potential, whereas AI-driven approaches primarily enhance system adaptability. The findings highlight that a single energy-efficient practice is insufficient to minimize energy consumption, and the results further indicate the need for hybrid green IIoT architectures (a combination of multiple energy-efficient practices) that balance energy efficiency with industrial performance requirements. The study provides actionable insights for designing sustainable and adaptive IIoT systems.
Keyword (in Japanese) (See Japanese page) 
(in English) Industrial IoT / Energy Efficiency / Green Networking / Edge Computing / AI Optimization / Systematic Literature Review / Reproducible Evaluation /  
Reference Info. IEICE Tech. Rep., vol. 126, no. 75, NS2026-45, pp. 60-65, June 2026.
Paper # NS2026-45 
Date of Issue 2026-06-11 (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 NS2026-45

Conference Information
Committee OCS NS PN  
Conference Date 2026-06-18 - 2026-06-19 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To NS 
Conference Code 2026-06-OCS-NS-PN 
Language English (Japanese title is available) 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Systematic Review and Mixed-Methods Evaluation of Green Energy-Efficient Practices in Industrial IoT Systems 
Sub Title (in English)  
Keyword(1) Industrial IoT  
Keyword(2) Energy Efficiency  
Keyword(3) Green Networking  
Keyword(4) Edge Computing  
Keyword(5) AI Optimization  
Keyword(6) Systematic Literature Review  
Keyword(7) Reproducible Evaluation  
Keyword(8)  
1st Author's Name P H P Umesh Randika Pathirana  
1st Author's Affiliation The Kyoto College of Graduate Studies for Informatics (KCGI)
2nd Author's Name Sameera Abar  
2nd Author's Affiliation The Kyoto College of Graduate Studies for Informatics (KCGI)
3rd Author's Name Yutaka Takahashi  
3rd Author's Affiliation The Kyoto College of Graduate Studies for Informatics (KCGI)
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Speaker Author-1 
Date Time 2026-06-19 15:40:00 
Presentation Time 25 minutes 
Registration for NS 
Paper # NS2026-45 
Volume (vol) vol.126 
Number (no) no.75 
Page pp.60-65 
#Pages 6 
Date of Issue 2026-06-11 (NS) 

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