For mega-constellations: Edge computing and safety management based on blockchain technology

Zhen Zhang, Bing Guo, Chengjie Li
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Abstract

In mega-constellation Communication Systems, efficient routing algorithms and data transmission technologies are employed to ensure fast and reliable data transfer. However, the limited computational resources of satellites necessitate the use of edge computing to enhance secure communication. While edge computing reduces the burden on cloud computing, it introduces security and reliability challenges in open satellite communication channels. To address these challenges, we propose a blockchain architecture specifically designed for edge computing in mega-constellation communication systems. This architecture narrows down the consensus scope of the blockchain to meet the requirements of edge computing while ensuring comprehensive log storage across the network. Additionally, we introduce a reputation management mechanism for nodes within the blockchain, evaluating their trustworthiness, workload, and efficiency. Nodes with higher reputation scores are selected to participate in tasks and are appropriately incentivized. Simulation results demonstrate that our approach achieves a task result reliability of 95% while improving computational speed.
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用于超大型集群:基于区块链技术的边缘计算和安全管理
在超大型星座通信系统中,采用了高效的路由算法和数据传输技术,以确保快速可靠的数据传输。然而,由于卫星的计算资源有限,有必要使用边缘计算来加强安全通信。边缘计算在减轻云计算负担的同时,也给开放式卫星通信信道带来了安全性和可靠性方面的挑战。为了应对这些挑战,我们提出了一种专为超大星座通信系统中的边缘计算而设计的区块链架构。该架构缩小了区块链的共识范围,以满足边缘计算的要求,同时确保整个网络的全面日志存储。此外,我们还为区块链中的节点引入了声誉管理机制,对其可信度、工作量和效率进行评估。声誉分数较高的节点会被选中参与任务,并得到适当的激励。仿真结果表明,我们的方法在提高计算速度的同时,任务结果的可靠性达到了 95%。
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