Title: An efficient data retrieval method for grid blockchain

Authors: Caijun Zhang; Qianjun Wu; Jiayi Lang; Huafei Yang; Xiaolong Wang; Kaiqiang Xian; Jingqiu Zhang

Addresses: Customer Service Centre, State Grid Co., Ltd, 300309, Tianjin, China ' State Grid Electric Power Research Institute Co. Ltd, Nanjing, 211106, Jiangsu, China ' Customer Service Centre, State Grid Co., Ltd, 300309, Tianjin, China ' State Grid Electric Power Research Institute Co. Ltd, Nanjing, 211106, Jiangsu, China ' State Grid Electric Power Research Institute Co. Ltd, Nanjing, 211106, Jiangsu, China ' Marketing Service Centre, State Grid Jiangsu Electric Power Co., Ltd, Nanjing, 211000, Jiangsu, China ' Marketing Service Centre, State Grid Jiangsu Electric Power Co., Ltd, Nanjing, 211000, Jiangsu, China

Abstract: The blockchain-based power grid integration business system (PG-IBS) is increasing rapidly. However, due to the limitation of blockchain, these systems have problem of low data retrieval efficiency. To solve this problem, through careful investigation and analysis, an efficient data retrieval method for power grid blockchain (EDRM-PGB) is proposed in the paper. EDRM-PGB rebuilds an efficient retrieval index structure transaction index structure (TIS) for a PG-IBS, while maintaining compatibility with the original system. TIS index structure is built on two data structures blockchain account bloom filter (BABF) and binary tree with transaction information (BTTI). Based on the structure, EDRM-PGB efficient retrieval algorithm is designed. EDRM-PGB's feasibility is verified by the prototype system implementation and performance simulation. Simulation result shows that compared with the traditional retrieval method, EDRM-PGB can greatly improve the data retrieval performance of PG-IBS. Meanwhile, it also has advantage of sharing of index files easily.

Keywords: data retrieval; blockchain; power grid; retrieval algorithm.

DOI: 10.1504/IJMIC.2023.132600

International Journal of Modelling, Identification and Control, 2023 Vol.43 No.2, pp.118 - 125

Received: 28 Mar 2022
Received in revised form: 16 May 2022
Accepted: 06 Jul 2022
Published online: 30 Jul 2023 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article