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Article type: Research Article
Authors: Wang, Xua; b | Zheng, Wenhua; b | Wang, Jinlonga; * | Xiong, Xiaoyuna | Shen, Yumina; c | Mu, Weib | Fan, Zengliangb
Affiliations: [a] School of Information and Control Engineering, Qingdao University of Technology, Qingdao, Shandong, China | [b] Qingdao E-Link Information Technology Co., Ltd., Qingdao, Shandong, China | [c] Hangzhou Ancun Internet Technology Co., Ltd., Hangzhou, Zhejiang, China
Correspondence: [*] Corresponding author: Jinlong Wang, School of Information and Control Engineering, Qingdao University of Technology, Qingdao, Shandong, China. E-mail: qdwangjinlong@163.com.
Abstract: As an important part of digital building, building internet of things (BIoT) plays a positive role in promoting the construction of smart cities. Existing schemes utilize blockchain to achieve trusted data storage in BIoT. However, the full-copy storage mechanism of blockchain and the management requirements of massive data have brought computing and storage challenges to edge nodes with limited resources. Therefore, a data management scheme for BIoT based on blockchain sharding is proposed. The scheme proposes a hybrid storage mechanism, which uses inter-planetary file system (IPFS) to ensure the integrity and availability of data outside the chain, and reduces the storage overhead of edge nodes. Based on the hybrid storage mechanism, the sharding algorithm is designed to divide the blockchain into multiple shards, and the storage overhead and computing overhead are offloaded to each shard, which effectively balances the computing and storage overhead of edge nodes. Finally, comparative analysis was made with existing schemes, and effectiveness of proposed scheme was verified from the perspectives of storage overhead, computation overhead, access delay and throughput. Results show that proposed scheme can effectively reduce storage overhead and computing overhead of edge nodes in BIoT scenario.
Keywords: Blockchain, building internet of things (BIoT), sharding, hybrid storage, inter-planetary file system (IPFS)
DOI: 10.3233/IDA-220757
Journal: Intelligent Data Analysis, vol. 27, no. 5, pp. 1309-1330, 2023
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