Proceedings of the International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024)

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Energy-Efficient Engagement Strategies for Decentralized Digital Networks

Authors
S. Arunkumar1, M. Arther Clive2, C. Kalaivanan3, Sivakumar Ponnusamy4, *, Gaurav Gautam5, 6, A. V. Kalpana7
1Associate Professor, Department of Electrical and Electronics Engineering, Nehru Institute of Engineering and Technology, Coimbatore, Tamil Nadu, India
2Assistant Professor, Department of Mechanical Engineering, Akshaya College of Engineering and Technology, Kinathukadavu, Coimbatore, 642109, Tamil Nadu, India
3Assistant Professor, Department of EEE, Sona College of Technology, Salem, Tamil Nadu, India
4Professor, Department of Computer Science and Engineering, K.S.R. College of Engineering, Tiruchengode, Namakkal, Tamil Nadu, India
5Assistant Professor, Department of Physics, Graphic Era Hill University, Dehradun, India
6Adjunct Professor, Graphic Era Deemed to Be University, Dehradun, Uttarakhand, India
7Assistant Professor, Department of Data Science and Business Systems, SRM Institute of Science and Technology, Kattankulathur, 603203, Tamil Nadu, India
*Corresponding author.
Corresponding Author
Sivakumar Ponnusamy
Available Online 23 May 2025.
DOI
10.2991/978-94-6463-718-2_161How to use a DOI?
Keywords
Decentralized Digital Networks; Energy Efficiency; Blockchain; AI-Driven Optimization; Edge Computing; Federated Learning
Abstract

Decentralized digital networks have transformed how data is communicated, stored, and computed, but energy efficiency still poses a significant dilemma. Most existing studies mainly target wireless networking, policy-driven sustainability measures, or dated computing paradigms, leaving a gap for practical, scalable, and AI-driven energy-efficient engagement strategies. In this approach, addressing energy consumption and decentralization challenges with artificial intelligence (AI), blockchain, and edge computing, this paper gives a holistic picture of findings. This study, unlike others, introduces new energy-aware engagement framework to achieve dynamic load balancing, redundancy elimination, and resource allocation controls. Moreover, new decentralized energy metrics are presented to test efficiency of the system while ensuring sustainability in a wide range of applications, such as blockchain governance, federated learning, and distributed cloud computing. Empirical simulations validate the proposed strategies where the energy is lowered significantly with system performance and engagement level still intact. This research offers valuable lessons for academics, practitioners, and decision-makers who strive to improve the scalability, resilience, and sustainability of decentralized networks.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024)
Series
Advances in Computer Science Research
Publication Date
23 May 2025
ISBN
978-94-6463-718-2
ISSN
2352-538X
DOI
10.2991/978-94-6463-718-2_161How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - S. Arunkumar
AU  - M. Arther Clive
AU  - C. Kalaivanan
AU  - Sivakumar Ponnusamy
AU  - Gaurav Gautam
AU  - A. V. Kalpana
PY  - 2025
DA  - 2025/05/23
TI  - Energy-Efficient Engagement Strategies for Decentralized Digital Networks
BT  - Proceedings of the International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024)
PB  - Atlantis Press
SP  - 1953
EP  - 1963
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-718-2_161
DO  - 10.2991/978-94-6463-718-2_161
ID  - Arunkumar2025
ER  -