Energy-aware cluster head optimization and secure blockchain integration for heterogeneous 6G-enabled IoMT networks
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View abstract on PubMed
Summary
This summary is machine-generated.This study introduces an optimized blockchain framework for 6G Internet of Medical Things (IoMT) networks, enhancing energy efficiency and security. The novel approach significantly improves network lifetime and reduces latency for medical data transmission.
Area Of Science
- Telecommunications Engineering
- Cybersecurity
- Artificial Intelligence in Healthcare
Background
- 6G-enabled Internet of Medical Things (IoMT) networks offer secure, decentralized communication but face challenges in energy efficiency, latency, and authentication.
- Current clustering and security methods struggle to balance these critical aspects in heterogeneous IoMT environments.
Purpose Of The Study
- To propose a novel energy-aware cluster head selection framework for 6G IoMT networks.
- To enhance network security, data integrity, and operational efficiency using a lightweight blockchain layer and advanced optimization algorithms.
Main Methods
- Developed an Artificial Democratic Cuckoo Glowworm Remora Optimization (ADCGRO) algorithm for energy-aware cluster head selection.
- Integrated a lightweight blockchain layer for secure authentication and ensuring data integrity within the IoMT network.
- Optimized task allocation across diverse IoMT devices (advanced, intermediate, normal) to minimize energy consumption while meeting URLLC requirements.
Main Results
- The proposed ADCGRO-based blockchain framework demonstrated a 27% enhancement in network lifetime.
- Achieved a 35% reduction in average network latency, crucial for real-time medical applications.
- Attained 99% authentication accuracy, significantly outperforming existing protocols like LEACH and HEED.
Conclusions
- The integration of ADCGRO optimization with blockchain effectively addresses the performance and security challenges in 6G IoMT networks.
- The proposed framework offers a viable solution for secure, efficient, and low-latency communication in next-generation medical IoT systems.
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