Yu, Caoyi; Luo, Haotian; Du, Chong; Mei, Niansong

HUMAN-CENTRIC COMPUTING AND INFORMATION SCIENCES

2024, 14, 2192-1962

Yu, Caoyi; Luo, Haotian; Du, Chong; Mei, Niansong

Blockchain implements reliable storage for Industrial Internet of Things (IIoT) data. However, the low efficiency data retrieval in blockchain has become the main bottleneck faced by the current IIoT. Considering the time- sensitive nature of IIoT data and the industrial production cycle, this paper proposes and implements the Sliding Skip list index construction algorithm and Sliding Skip list index rebuilding algorithm oriented to the on-chain data characteristics, such as the creating time of the block, the times of the block being retrieved and the date of the block being retrieved, as influencing factors. The experimental results show that the Sliding Skip list has a 35% higher efficiency and 70% higher stability in on-chain characteristic data retrieval compared with the B+ tree index. The stability of the Sliding Skip list is improved by 85% with small data volumes compared to the traditional skip list, while maintaining the same efficiency in on-chain characteristic data retrieval. Moreover, the index storage overhead is reduced significantly.