Ponsundari.S, Siva Ganesh.E
Understanding human mobility is critical for simulations of mobile devices in a wireless network, but current mobility models often do not reflect real user movements. The common human mobility model that satisfies following fundamental statistical features:1) Heavy-tail flight and pause-time distributions; 2) Heterogeneously bounded mobility areas of individuals; 3)Truncated power-law intercontact times; 4)The destinations of people (or we say waypoints) are dispersed in a self-similar manner; and 5) People are more likely to choose a destination closer to its current waypoint. These features are known to be influential to the performance of human-assisted mobility networks. The main contribution of this paper is to present a new mobility model that can produces synthetic mobility traces containing all the five statistical features in various mobility settings. It brings out the unique performance features of various routing protocols.