Simulation of Dissemination Strategies on Temporal Networks

Abstract

When citing, please refer to the published version.

Security analysis of distributed ledgers and blockchains through agent-based simulation

“…gossiping on a scale-free network). On this side, PADS techniques have already demonstrated that they can significantly reduce the amount of time that is required to complete the simulation runs while enabling the simulation of larger network topologies [9,[23][24][25][26].…”

Incentivized Data Mules Based on State-Channels

“…The Neighbors in the Island will share the information regarding their availability status and current opened state channels capacities and fees for their relay. The messages can then be exchanged using different dissemination strategies [5]. A Neighbor that decides to send a message to a Server S becomes a Client C and seeks to reach a Data Mule M through a T N and through (zero or) some mediators, i.e.…”

“…We consider a smart-village-like scenario where buses and couriers act as Data Mule. The simulations, performed with the LUNES agent-based simulator [5], will be aimed to show the potential delays depending on the presence of islands and mule couriers.…”

DLT-based Data Mules for Smart Territories

“…) is an open source discrete event simulator, specifically designed for the modelling and performance evaluation of complex networks and communication protocols. LUNES is implemented on top of ART ÌS/GAIA simulation middleware, which offers the primitives for time management and communication among simulated entities, enabling also a parallel and distributed execution [14].In previous works, some versions of this tool have been employed to model blockchain behaviour, edge computing scenarios or temporal networks and in this work a version of LUNES has been developed for InDaMul [15]. This version of the software combines a part where the mobility of the data mules is handled, a part intended to manage the exchange of messages and, finally, a part responsible for collecting and assembling data during the execution.…”