Opportunistic Networks Model with Restricted Time-Space

Abstract

Mobility model characterize node movement patterns in opportunistic networks, it is usually used for simulation purposes when new communication or navigation techniques are proposed. There are two kinds of mobility model at present. One is the mobility model based on the theory, and other is the mobility model based on the realistic networks. But they cannot characterize the inherent property of opportunistic networks well. We try to tradeoff their two extreme cases, and put forward an opportunistic networks model with restricted time-space (RTSM), which cannot only describe the community characteristic and activity scheduling of nodes on the macro, but also obey the node mobility rules of Random waypoint model (RWP) in the micro. The simulation results show that we set the different parameters (such as, and ) to get the different simulating scenarios which is closer the realistic network scenarios than the classical mobility models (such as, Random waypoint, Community movement and Map based movement), and the proposed mobility model has good encounter duration time distribution and flexible parameter controllability.