A Fault-Tolerant Data Acquisition Scheme with MDS and Dynamic Clustering in Energy Internet
Xin Chen, Xiangming Wen, Luhan Wang, Wenpeng Jing · 2018
Energy Internet (EI) is regarded as a promising method to solve the energy shortage and improve the efficiency of renewable energy. It demands frequent exchanges of data flow and energy flow, which puts forward strict requests for data veracity and availability. As a result, a reliable and robust data network is critical to realize the promises of EI. This paper introduces the fog nodes with computing ability to enable erasure coding based fault-tolerant techniques so that the data availability can be guaranteed. However, the distributed and irregular deployment of EI nodes have brought many challenges to maximum distance separable code (MDS) based fault-tolerant schemes. As a result, this paper investigates the design of encoding parameters and clustering mechanism to adjust the flexible situations. And then, we propose a novel fault-tolerant mechanism based on MDS and dynamic clustering to improve the data availability. Numerical simulation results show our scheme works better than the backup and traditional MDS based schemes with determined cluster size.