Recent evolutions in wireless networks have complexified the interactions, due to the deployment of Internet of Things (and the corresponding increase in the number of devices), and the deployment of ever more complex services offered at a cellular level (the so-called fog computing paradigm).

These new trends have as a consequence that traditional performance evaluation techniques (which subsume either a static topology of the
network or else a clearly identifiable bottleneck) are no longer adequate.

In this project, we will investigate more advanced techniques based on complex network theory and random graph theory in order to bridge this gap. We thus aim to find a more fleshed-out view of the intersection of these two crucial parts of modern performance evaluation.

This  proposal has the potential to be of valuable interest to various actors such as, telecom operators, mobile app developers and manufacturing plants deploying IoT technology.