00963nas a2200145   4500000000100000008004100001260002300042100001900065700002100084245008900105856005000194300001000244520054100254020002200795       2020                            d  bIEEEaArona, Italy1 aGabriele Gemmi1 aLeonardo Maccari00aNPART+: Improving Wireless Network Topology Generators with Data from the Real World  uhttps://ieeexplore.ieee.org/document/9191562/  a1–83 aTopology 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].  a978-1-72816-248-5