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Blockchain and RL-Based Secured Task Offloading Framework for Software-Defined 5G Edge Networks
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DOI：10.1109/ACCESS.2025.3554638.png)
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Abstract
En 中文
5G (Fifth Generation) technology represents a significant advancement in telecommunications, facilitating industry innovation and advancement for applications across various sectors. It enhances high-speed, low-latency communication, making it ideal for task offloading in resource-constrained mobile devices. By leveraging task offloading, 5G networks maximize the efficiency of both computational and network resources, ensuring faster, more reliable data delivery and enabling high-performance requirements of modern applications. However, dynamic and secure task offloading remains a challenge due to fluctuating network conditions and trust concerns. This paper proposes SAGE (Secured Adaptive Generalized Edge), a reinforcement learning-based task offloading framework that leverages contextual bandits for adaptive decision-making in Multi-Access Edge Computing (MEC) environments. By integrating blockchain smart contracts for security and SDN-based orchestration for dynamic resource management, SAGE ensures robust, low-latency offloading. Experimental evaluations demonstrate that SAGE reduces task offloading delays by 36% and task durations by 30% compared to baseline methods under varying load and energy constraints.
Keywords:
Blockchains
Security
5G mobile communication
Delays
Resource management
Cloud computing
Vehicle dynamics
Servers
Privacy
Quality of service
5G mobile
software-defined-networking (SDN)
mobile edge-computing (MEC)
blockchain-assisted offloading
fog/edge computing
security
trust modeling
dynamic edge server offload (DESO)
secured adaptive generalized edge (SAGE)
Journal
IF:
3.6
Papers:
9.8W
Citations:
29.4W
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