Symbiotic Blockchain Consensus: Cognitive Backscatter Communications-Enabled Wireless Blockchain Consensus

The wireless blockchain network (WBN) concept, born from the blockchain deployed in wireless networks, has appealed to many network scenarios. Blockchain consensus mechanisms (CMs) are key to enabling nodes in a wireless network to achieve consistency without any trusted entity. However, consensus reliability will be seriously affected by the instability of communication links in wireless networks. Meanwhile, it is difficult for nodes in wireless scenarios to obtain a timely energy supply. Energy-intensive blockchain functions can quickly drain the power of nodes, thus degrading consensus performance. Fortunately, a symbiotic radio (SR) system enabled by cognitive backscatter communications can solve the above problems. In SR, the secondary transmitter (STx) transmits messages over the radio frequency (RF) signal emitted from a primary transmitter (PTx) with extremely low energy consumption, and the STx can provide multipath gain to the PTx in return. Such an approach is useful for almost all vote-based CMs, such as the Practical Byzantine Fault-tolerant (PBFT)-like and the RAFT-like CMs. This paper proposes symbiotic blockchain consensus (SBC) by transforming 6 PBFT-like and 4 RAFT-like state-of-the-art (SOTA) CMs to demonstrate universality. These new CMs will benefit from mutualistic transmission relationships in SR, making full use of the limited spectrum resources in WBN. Simulation results show that SBC can increase the consensus success rate of PBFT-like and RAFT- like by 54.1% and 5.8%, respectively, and reduce energy consumption by 9.2% and 23.7%, respectively.

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Publication Details

Journal
IEEE/ACM Transactions on Networking
Published
2024-09-27
DOI
https://doi.org/10.1109/tnet.2024.3462539
Citations
70
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
54.54

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article

Symbiotic Blockchain Consensus: Cognitive Backscatter Communications-Enabled Wireless Blockchain Consensus

Haoxiang Luo, Gang Sun, Dusit Niyato, Qianqian Zhang et al.
70 citations
IEEE/ACM Transactions on Networking
Blockchain Technology Applications and Security
54.54
article

Symbiotic Blockchain Consensus: Cognitive Backscatter Communications-Enabled Wireless Blockchain Consensus

Haoxiang Luo, Gang Sun, Dusit Niyato, Qianqian Zhang, Hongfang Yu
article en
70 citations

Abstract

The wireless blockchain network (WBN) concept, born from the blockchain deployed in wireless networks, has appealed to many network scenarios. Blockchain consensus mechanisms (CMs) are key to enabling nodes in a wireless network to achieve consistency without any trusted entity. However, consensus reliability will be seriously affected by the instability of communication links in wireless networks. Meanwhile, it is difficult for nodes in wireless scenarios to obtain a timely energy supply. Energy-intensive blockchain functions can quickly drain the power of nodes, thus degrading consensus performance. Fortunately, a symbiotic radio (SR) system enabled by cognitive backscatter communications can solve the above problems. In SR, the secondary transmitter (STx) transmits messages over the radio frequency (RF) signal emitted from a primary transmitter (PTx) with extremely low energy consumption, and the STx can provide multipath gain to the PTx in return. Such an approach is useful for almost all vote-based CMs, such as the Practical Byzantine Fault-tolerant (PBFT)-like and the RAFT-like CMs. This paper proposes symbiotic blockchain consensus (SBC) by transforming 6 PBFT-like and 4 RAFT-like state-of-the-art (SOTA) CMs to demonstrate universality. These new CMs will benefit from mutualistic transmission relationships in SR, making full use of the limited spectrum resources in WBN. Simulation results show that SBC can increase the consensus success rate of PBFT-like and RAFT- like by 54.1% and 5.8%, respectively, and reduce energy consumption by 9.2% and 23.7%, respectively.

IEEE/ACM Transactions on NetworkingVol. 32(6)
University of Electronic Science and Technology of China (CN), Nanyang Technological University (SG)
National Research Foundation Singapore, Info-communications Media Development Authority, Natural Science Foundation of Sichuan Province, National Key Research and Development Program of China
Openalex Percentile: Top 0%
Blockchain Technology Applications and Security
54.54
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