Performance Analysis and Comparison of Non-ideal Wireless PBFT and RAFT Consensus Networks in 6G Communications
Haoxiang Luo, Xiangyue Yang, Hongfang Yu, Gang Sun, Bo Lei, Mohsen, Guizani

TL;DR
This study evaluates and compares the performance of non-ideal wireless PBFT and RAFT consensus mechanisms in 6G networks using THz and mmWave signals, considering physical layer impairments and deriving the concept of active distance.
Contribution
It introduces the analysis of PBFT and RAFT performance with high-frequency signals in realistic wireless conditions, including path loss and fading effects, which was previously underexplored.
Findings
Identifies the maximum active distance for successful consensus.
Provides performance metrics for THz and mmWave in non-ideal conditions.
Offers insights into the suitability of PBFT and RAFT for 6G wireless networks.
Abstract
Due to advantages in security and privacy, blockchain is considered a key enabling technology to support 6G communications. Practical Byzantine Fault Tolerance (PBFT) and RAFT are seen as the most applicable consensus mechanisms (CMs) in blockchain-enabled wireless networks. However, previous studies on PBFT and RAFT rarely consider the channel performance of the physical layer, such as path loss and channel fading, resulting in research results that are far from real networks. Additionally, 6G communications will widely deploy high-frequency signals such as terahertz (THz) and millimeter wave (mmWave), while performances of PBFT and RAFT are still unknown when these signals are transmitted in wireless PBFT or RAFT networks. Therefore, it is urgent to study the performance of non-ideal wireless PBFT and RAFT networks with THz and mmWave signals, to better make PBFT and RAFT play a role…
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Taxonomy
TopicsAdvanced Wireless Communication Technologies · Satellite Communication Systems · IoT and Edge/Fog Computing
