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Toward Verification of DAG-Based Distributed Ledger Technologies through Discrete-Event Simulation.

Misbah Khan¹, Frank den Hartog¹, Jiankun Hu¹

¹Canbbera Campus, University of New South Wales Canberra at the Australian Defence Force Academy, Campbell, ACT 2612, Australia.

Sensors (Basel, Switzerland)

|March 13, 2024

Summary

This summary is machine-generated.

This study introduces a discrete-event simulator for evaluating directed acyclic graph (DAG) distributed ledgers, specifically IOTA's Tangle. Findings reveal Tangle's transaction dynamics, random walk efficiency, and node convergence, highlighting the need for versatile DAG simulators.

Keywords:

IOTA Tangle blockchain coordinator decentralization directed acyclic graph distributed ledger technology micro-transactions scalability

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Area of Science:

Computer Science
Distributed Systems
Network Simulation

Background:

Directed acyclic graph (DAG)-based distributed ledgers show promise for IoT systems.
Discrete event simulations offer high-fidelity protocol evaluations.
A gap exists in public discrete event simulators for DAG-based distributed ledgers.

Purpose of the Study:

Introduce a novel discrete-event simulator for DAG-based distributed ledgers.
Investigate the dynamics of IOTA's Tangle protocol using the simulator.
Assess the efficiency and convergence properties of DAG architectures.

Main Methods:

Developed a custom discrete-event simulator in Python.
Implemented and simulated IOTA's Tangle DAG protocol.
Analyzed transaction dynamics, random walk efficiency, and node convergence.

Main Results:

Revealed Poisson processes in Tangle's transaction dynamics.
Quantified the efficiency and intricacies of the random walk mechanism.
Assessed node convergence and the impact of weight updates.
Provided insights into the role and challenges of coordinators/validators.

Conclusions:

The developed simulator is crucial for understanding DAG ledger dynamics.
Findings for Tangle underscore the need for adaptable DAG simulators and tip selection methods.
The research highlights the significance of weight updates and coordinator roles in DAGs.