An Accelerating Approach for Blockchain Information Transmission Based on NDN

Zhi-Peng Yang, Lu Hua, Ning-Jie Gao, Ru Huo, Jiang Liu and Tao Huang
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Zhi-Peng Yang: School of Information Science and Technology, University of Science and Technology of China, Hefei 230026, China
Lu Hua: Guang Dong Communications & Networks Institute, Guangdong 510663, China
Ning-Jie Gao: State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China
Ru Huo: Beijing Advanced Innovation Center for Future Internet Technology, Information Department, Beijing University of Technology, Beijing 100124, China
Jiang Liu: State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China
Tao Huang: State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China

Future Internet, 2021, vol. 13, issue 2, 1-13

Abstract: Blockchain is becoming more and more popular in various fields. Since the information transmission mode of the blockchain is data broadcasting, the traditional TCP/IP network cannot support the blockchain system well, but the Named-Data Networking (NDN) could be a good choice because of its multi-path forwarding and intra-network caching functions. In this article, we propose a new blockchain information transmission acceleration strategy (AITS) combining with graph theory and probability theory based on the NDN architecture. We select some more important nodes in the network as “secondary nodes”, and give them more bandwidth and cache space to assist the NDN network in data transmission. In order to select the correct node as the secondary node, we present a method to calculate the number of secondary nodes, and give the function to calculate the importance of each node. The simulation results show that in complex networks, the proposed method has superior performance in accelerating information transmission and reducing data overhead.

Keywords: named-data-networking; blockchain technology; information transmission; acceleration (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2021
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