TY - CPAPER
AU - Gabriele Gemmi
AU - Leonardo Maccari
AB - 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].
CY - Arona, Italy
DO - 10.1109/MedComNet49392.2020.9191562
N2 - 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].
PB - IEEE
PP - Arona, Italy
PY - 2020
SN - 978-1-72816-248-5
EP - 1–8
TI - NPART+: Improving Wireless Network Topology Generators with Data from the Real World
UR - https://ieeexplore.ieee.org/document/9191562/
ER -