Modeling and Tools for Network Simulation

By Klaus Wehrle, Mesut Gnes, J. Gross. Modeling and Tools for Network Simulation, 2010

819 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Do LoRa Low-Power Wide-Area Networks Scale? (2016, background): “A vast number of generic wireless simulation tools such as ns-3 [10] or OMNet++ [17] exist.”
Applications of Deep Reinforcement Learning in Communications and Networking: A Survey (2018, methodology): “Packetlevel simulations using NS-3 [146], tested on well-known network topologies as well as random topologies generated by BRITE [147], reveal that the proposed DQL scheme significantly reduces the end-to-end delay and improves the network utility, compared with the baseline schemes including DDPG ”
A compilation of UAV applications for precision agriculture (2020, neutral): “The proposed algorithm was implemented on the OMNeT++ [118,119] software and speciﬁcally on the Mixim framework [120] .”
NetSquid, a NETwork Simulator for QUantum Information using Discrete events (2020, methodology): “Discrete-event simulation, an established method for simulating classical network systems [68], is a modelling paradigm that progresses time by stepping through a sequence of events – see Figure 2 for a visual explanation.”