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We advise you to use the QKDNetSim module v2.0 which is available via www.qkdnetsim.info

 

As research in Quantum Key Distribution (QKD) technology grows larger and more complex, the need for highly accurate and scalable simulation technologies becomes important to assess the practical feasibility and foresee difficulties in the practical implementation of theoretical achievements. Due to the specificity of QKD link which requires optical and Internet connection between the network nodes, it is very costly to deploy a complete testbed containing multiple network hosts and links to validate and verify a certain network algorithm or protocol. The network simulators in these circumstances save a lot of money and time in accomplishing such task. A simulation environment offers the creation of complex network topologies, a high degree of control and repeatable experiments, which in turn allows researchers to conduct exactly the same experiments and confirm their results.

The aim of Quantum Key Distribution Network Simulation Module (QKDNetSim) project was not to develop the entire simulator from scratch but to develop the QKD simulation module in some of the already existing well-proven simulators. QKDNetSim is intended to facilitate additional understanding of QKD technology with respect to the existing network solutions. It seeks to serve as the natural playground for taking the further steps into this research direction (even towards practical exploitation in subsequent projects or product design).

Here, we provide the QKDNetSim source code which was developed in the network simulator of version 3 (NS-3). The module supports simulation of QKD network in overlay mode or in a single TCP/IP mode. Therefore, it can be used for simulation of other network technologies regardless of QKD.

The QKDNetSim source code is free for download from “https://github.com/QKDNetSim/qkdnetsim-dev“.

Citation

Mehic Miralem, Oliver Maurhart, Stefan Rass, and Miroslav Voznak. “Implementation of quantum key distribution network simulation module in the network simulator NS-3.” Quantum Information Processing 16, no. 10 (2017): 253. https://doi.org/10.1007/s11128-017-1702-z