Enhanced Efficiency and Security in Blockchain IoT Systems for Ports
A recent study published on Nature.com titled "Enhanced efficiency and security in cross-chain transmission of blockchain internet of ports through multi-feature-based joint learning" explores innovative methods to improve the performance and security of Blockchain Internet of Things (IoT) systems in port environments. The research, authored by Zeqiang Xie, Xiaowei Zhang, and Xinbing Liu, was published on February 20, 2025, in Scientific Reports (Volume 15, Article 6199). The study addresses the challenges of network congestion, high latency, and uneven resource utilization in dynamic port environments.
The researchers propose a load-adaptive cross-chain control framework that integrates multi-feature joint learning (MFJL) and adaptive multi-channel joint bus control. This approach enables dynamic resource allocation and interference suppression, significantly enhancing transmission efficiency. Additionally, a distributed intelligent scheduling mechanism was introduced to decentralize task coordination across blockchain nodes, improving scalability and fault tolerance. Federated learning was also employed to optimize cross-chain communication while preserving data privacy, ensuring secure collaboration in multi-party environments.
Extensive simulations validated the effectiveness of the proposed framework. The results demonstrated substantial improvements in throughput, latency, and packet loss rates compared to traditional centralized methods. For instance, the study highlighted a 15.8% improvement in throughput under high data loads and a 25.2% reduction in latency under specific conditions. Furthermore, the method achieved lower packet loss rates, showcasing its robustness and reliability in data transmission.
The study also delves into the energy efficiency of the proposed method. Under high transaction loads, the framework reduced energy consumption by 18.2% and improved energy efficiency per throughput by 27.3%. These findings underscore the method's suitability for real-time Blockchain IoT applications in complex and dynamic environments like ports.
For more details, the full study can be accessed on Nature.com at the following link: https://www.nature.com/articles/s41598-025-85330-6.
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