A realistic mobility model for wireless networks of scale-free node connectivity

Recently, researchers have discovered that many of social, natural and biological networks are characterized by scale-free powerlaw connectivity distribution and a few densely populated nodes, known as hubs. We envision that wireless networks are directly deployed over such real-world networks to facilitate communication among participating entities. Here nodes move in such a way that they exhibit scale-free connectivity distribution at any instance, which cannot be modeled by most of the prior mobility models. This paper proposes clustered mobility model (CMM), which facilitates in forming the clustering of nodes in a network. In CMM, node behavior is not random but follows a certain explicit rationale such as nodes are attracted to the popular area where more nodes are already present. Extensive simulation study has been conducted to highlight the difference between random waypoint (RWP) and CMM by measuring network capacities at the physical, link and network layers.