Design of Proof-of-Stake PBFT Algorithm for IoT Environments

被引:8
作者
Misic, Jelena [1 ]
Misic, Vojislav B. [1 ]
Chang, Xiaolin [2 ]
机构
[1] Govt Ontario, Toronto, ON M5B 2K3, Canada
[2] Beijing Jiaotong Univ, Beijing Key Lab Secur, Privacy Intelligent Transportat, Beijing 100044, Peoples R China
基金
加拿大自然科学与工程研究理事会;
关键词
Blockchains; Behavioral sciences; Analytical models; Vehicle dynamics; Throughput; Logic gates; Delays; Blockchain; IoT; IoV; PBFT; Proof of Stake; WAITING TIME; CONSENSUS;
D O I
10.1109/TVT.2022.3213226
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Blockchain ledgers are being increasingly used in Internet of Things (IoT) and Internet of Vehicles (IoV) applications. However, Proof of Work consensus is unsuitable in an IoV setting, which is why other paradigms need to be investigated. In this work we integrate Proof of Stake (PoS) consensus technique with multiple entry Practical Byzantine Fault Tolerance voting in a permissioned blockchain network. We introduce several PoS classes based on combination of initial stake and truthfulness of voting. We also describe a differentiated medium access approach similar to Enhanced Distribution Function (EDCA). Using a Semi Markov Process-based model, we derive the probability of reaching consensus and highlight the impact of the populations of individual stake/priority classes on achieving consensus. Our results show the impact of numbers of nodes from classes with different voting behavior on consensus probability. Results also show differentiation through the number of blocks linked per second, success probability in leadership application and delay in leader selection for node belonging to certain class. These values show how much revenue a node from given class can collect from its clients depending on initial stake and voting behavior.
引用
收藏
页码:2497 / 2510
页数:14
相关论文
共 26 条
  • [1] Beck J., 2020, Rewards and Penalties on Ethereum 2.0
  • [2] Buchman E., 2016, THESIS U GUELPH GUEL
  • [3] Buterin V., 2019, ARXIV
  • [4] Practical byzantine fault tolerance and proactive recovery
    Castro, M
    Liskov, B
    [J]. ACM TRANSACTIONS ON COMPUTER SYSTEMS, 2002, 20 (04): : 398 - 461
  • [5] Ouroboros Praos: An Adaptively-Secure, Semi-synchronous Proof-of-Stake Blockchain
    David, Bernardo
    Gazi, Peter
    Kiayias, Aggelos
    Russell, Alexander
    [J]. ADVANCES IN CRYPTOLOGY - EUROCRYPT 2018, PT II, 2018, 10821 : 66 - 98
  • [6] Algorand: Scaling Byzantine Agreements for Cryptocurrencies
    Gilad, Yossi
    Hemo, Rotem
    Micali, Silvio
    Vlachos, Georgios
    Zeldovich, Nickolai
    [J]. PROCEEDINGS OF THE TWENTY-SIXTH ACM SYMPOSIUM ON OPERATING SYSTEMS PRINCIPLES (SOSP '17), 2017, : 51 - 68
  • [7] Heyman D.P., 1982, Stochastic Models in Operations Research, VI.
  • [8] KINGMAN JFC, 1962, P CAMB PHILOS SOC, V58, P163
  • [9] Kleinrock L. J., 1972, QUEUING SYSTEMS, VI
  • [10] Lei K, 2018, INT C PAR DISTRIB SY, P604, DOI [10.1109/ICPADS.2018.00084, 10.1109/PADSW.2018.8644933]