| Title | NPART+: Improving Wireless Network Topology Generators with Data from the Real World |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Gemmi, G, Maccari, L |
| Conference Name | 2020 Mediterranean Communication and Computer Networking Conference (MedComNet) |
| Publisher | IEEE |
| Conference Location | Arona, Italy |
| ISBN Number | 978-1-72816-248-5 |
| Abstract | Topology generators are a key asset for researchers in computer science and telecommunications that often need to test network protocols or distributed systems in simulated environments that resemble real scenarios. Despite that, in the research area of distributed wireless networks still many works use very simplistic models that do not have the characteristics of the currently existing large-scale wireless mesh networks. The only topology generator that tries to produce synthetic graphs that look like real networks is NPART [1].
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| URL | https://ieeexplore.ieee.org/document/9191562/ |
| DOI | 10.1109/MedComNet49392.2020.9191562 |
