4.8 Article

An Efficient and Compacted DAG-Based Blockchain Protocol for Industrial Internet of Things

Journal

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
Volume 16, Issue 6, Pages 4134-4145

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TII.2019.2931157

Keywords

Blockchain; compacted directed acyclic graph (CoDAG); industrial Internet of Things (IIoT)

Funding

  1. National Key R&D Program of China [2018YFB1800302, 2018YFB0803405]
  2. National Natural Science Foundation of China [61772345, 61625203, 61832013]
  3. China National Funds for Distinguished Young Scientists [61825204]
  4. Beijing Outstanding Young Scientist Project
  5. Tencent Rhinoceros Birds-Scientific Research Foundation for Young Teachers of Shenzhen University

Ask authors/readers for more resources

Industrial Internet of Things (IIoT) has been widely used in many fields. Meanwhile, blockchain is considered promising to address the issues of the IIoT. However, the current blockchains have a limited throughput. In this article, we devise an efficient and secure blockchain protocol compacted directed acyclic graph (CoDAG) based on a compacted directed acyclic graph, where blocks are organized in levels and width. New-generated blocks in the CoDAG will be placed appropriately and point to those in the previous level, making it a well-connected channel. Transactions in the network will be confirmed in a deterministic period, and the CoDAG keeps a simple data structure at the same time. We also illustrate the attack strategies by adversary, and it is proved that our protocols are resistant to these attacks. Furthermore, we design a CoDAG-based IIoT architecture to improve the efficiency of the IIoT system. Experimental results show that the CoDAG achieves 164x Bitcoin's throughput and 77x Ethererum's throughput.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available