Cloud-edge-end collaboration enables harmonious and efficient resource allocation for the Power Internet of Things (PIoT). However, the security and complexity issues of computation offloading evolve into the main obstacles. In this article, we first propose a blockchain and AI-based secure cloud-edge-end collaboration PIoT (BASE-PIoT) architecture to ensure data security and intelligent computation offloading. Its advantages in flexible resource allocation, secure data sharing, and differentiated service guarantee are elaborated. Then the adaptability of three typical blockchains with PIoT is analyzed, and some typical application scenes of BASE-PIoT including computation offloading, energy scheduling, and access authentication are illustrated. Finally, we propose a blockchain-empowered federated deep actor-critic-based task offloading algorithm to address the secure and low-latency computation offloading problem. The coupling between the long-term security constraint and short-term queuing delay optimization is decoupled by using Lyapunov optimization. Numerical results verify its excellent performance in total queuing delay and consensus delay.

中文翻译：

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电力物联网中基于区块链和联邦深度强化学习的安全云边端协作

云边端协同为电力物联网（PIoT）提供和谐高效的资源配置。然而，计算卸载的安全性和复杂性问题演变为主要障碍。在本文中，我们首先提出了一种基于区块链和人工智能的安全云边端协作PIoT（BASE-PIoT）架构，以确保数据安全和智能计算卸载。阐述了其在资源灵活分配、数据安全共享、差异化服务保障等方面的优势。然后分析了三种典型区块链对 PIoT 的适应性，并说明了 BASE-PIoT 的一些典型应用场景，包括计算卸载、能量调度和访问认证。最后，我们提出了一种基于区块链的联合深度 actor-critic-based 任务卸载算法来解决安全和低延迟的计算卸载问题。使用 Lyapunov 优化解耦了长期安全约束和短期排队延迟优化之间的耦合。数值结果验证了其在总排队延迟和共识延迟方面的出色表现。