AI-Driven Energy-Efficient 6G IOT Network with Blockchain Security and Digital Twin Optimization

DOI

10.2991/978-94-6463-858-5_176How to use a DOI?

Keywords

6G IoT; AI-driven optimization; energy efficiency; blockchain security; digital twins; edge computing

Abstract

The rapid evolution of 6G IoT networks demands innovative solutions for energy efficiency, security, and intelligent automation. This paper proposes an AI-driven energy-efficient 6G IoT system integrating TinyML-powered IoT devices, edge computing, blockchain security, and digital twin optimization to enhance performance, scalability, and security. To reduce power consumption, TinyML and energy harvesting techniques enable ultra-low-power AI processing on IoT devices. Federated learning (FL) and reinforcement learning (RL) at the edge minimize data transmission overhead while ensuring adaptive network management. Network slicing and THz communication significantly improve latency and throughput, while AI-optimized massive MIMO enhances spectral efficiency. For security, blockchain-based decentralized authentication ensures data integrity, while AI-powered intrusion detects cyber threats in real time using entropy-based anomaly detection. Additionally, digital twins simulate and optimize IoT network performance, enabling predictive maintenance and self-optimization in smart cities, healthcare, and industrial IoT. Comparative analysis with existing 5G and blockchain-based IoT systems demonstrates that the proposed system achieves 96.2% network slicing efficiency, 48.7 bps/Hz spectral efficiency, 24,600 TPS blockchain transaction speed, and 99.1% digital twin accuracy. This approach ensures a highly adaptive, energy-efficient, and secure 6G IoT infrastructure, paving the way for next-generation intelligent applications.

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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TY  - CONF
AU  - P. Rajeswari
AU  - M. Nitheeswari
AU  - G. Sneha
AU  - K. varsha
PY  - 2025
DA  - 2025/11/04
TI  - AI-Driven Energy-Efficient 6G IOT Network with Blockchain Security and Digital Twin Optimization
BT  - Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)
PB  - Atlantis Press
SP  - 2112
EP  - 2124
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-858-5_176
DO  - 10.2991/978-94-6463-858-5_176
ID  - Rajeswari2025
ER  -