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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

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Slotted ALOHA Based Practical Byzantine Fault Tolerance (PBFT) Blockchain Networks: Performance Analysis and

Ziyi Zhou¹, Oluwakayode Onireti¹, Lei Zhang¹

¹James Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, UK.

Sensors (Basel, Switzerland)

|December 17, 2024

Summary

This summary is machine-generated.

Practical Byzantine Fault Tolerance (PBFT) is suitable for IoT networks. Lowering success probability or faulty nodes reduces the transmission interval for wireless PBFT networks.

Keywords:

IoT network PBFT blockchain consensus network slotted ALOHA wireless blockchain network

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Area of Science:

Blockchain technology
Wireless networking
Internet of Things (IoT)

Background:

Practical Byzantine Fault Tolerance (PBFT) is a key consensus mechanism for private and consortium blockchains.
PBFT is considered for IoT networks due to its efficiency compared to Proof of Work.
Wireless connectivity in blockchain networks presents unique performance challenges.

Purpose of the Study:

To develop a performance evaluation framework for wireless PBFT networks.
To model wireless blockchain networks using Poisson point process for node distribution and transaction arrivals.
To analyze the impact of wireless factors on PBFT performance.

Main Methods:

Modeling wireless PBFT networks with Poisson point process for node and transaction distributions.
Utilizing slotted ALOHA as the multiple access technique.
Deriving end-to-end success probability to determine key performance indicators.

Main Results:

Derived the end-to-end success probability for wireless PBFT networks.
Established methods to calculate optimal transmission interval, throughput, delay, and viable area.
Identified that reducing success probability or faulty nodes lowers the required transmission interval.

Conclusions:

The proposed framework enables performance evaluation of wireless PBFT networks.
Viable area is defined as the minimum coverage ensuring PBFT liveness, safety, and resilience.
Optimizing transmission intervals is crucial for viable wireless PBFT deployments, especially in IoT.