An Urban Mobility Model and Predictive Handover Scheme for Mobile IP: OPNET Modeling and Simulation

This paper proposes both an urban mobility model for OPNET and a low latency handover mechanism for Mobile IPv4. The mobility model uses street data to navigate the nodes in a city: (1) semi-randomly according to street precedence level and a configurable bias towards direction, and (2) different modes of waypoint navigation. When roaming across WiFi access points, the mobile nodes need to conduct handovers to different networks. We propose a scheme where the network learns movement patterns of nodes through standard Mobile IP signaling and can, when sufficiently informed, provide much improved handover conditions. The OPNET implementation of both the mobility model and the handover mechanism is presented, along with simulation results.