MapChain-D: A Distributed Blockchain for IIoT Data Storage and Communications
IEEE Transactions on Industrial Informatics(2023)
摘要
With the rapid growth of Industrial Internet of Things (IIoT) devices, managing an extensive volume of IIoT data becomes a significant challenge. While the conventional cloud storage approaches with centralized data centers suffer from high latency for large-scale IIoT data storage due to increased communication and latency overheads, distributed storage frameworks, such as blockchains, have become promising solutions. In this article, we design and analyze a dual-blockchain framework for secure and scalable distributed data management in large-scale IIoT networks. The proposed framework, named
MapChain-D
, consists of a data chain that is mapped to an index chain to provide efficient data storage and lookup.
MapChain-D
is designed for practical IIoT applications with storage, latency, and communication constraints. Detailed data exchange protocols are presented for data insertion and retrieval operations in
MapChain-D
. Based on these, theoretical analyses are provided on the space, time, and communication complexities of
MapChain-D
compared with conventional single-chain frameworks with local and distributed data storage. We implement our
MapChain-D
prototype using open-source LoRaWAN communications with multiple Raspberry Pi and Arduino devices, Kademlia-based distributed hash table, and Ethereum-based blockchain with proof-of-authority consensus. Experimental results from our prototype show that
MapChain-D
is more suitable to be deployed on resource-constrained IIoT devices. We also highlight the scalability and flexibility of
MapChain-D
with different number of edge nodes in the system.
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关键词
Distributed hash table (DHT) blockchain,low-latency data insertion and retrieval,secure and scalable data storage
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