A Study On The Performance Of An Advanced Framework For Prediction-Based Nemo Handovers In Multihomed Scenarios

In this paper we provide an extensive performance evaluation of an already introduced advanced handover management solution which aimed at providing ubiquitous IPv6 connection and seamless Internet access for network mobility (NEMO) scenarios. The novel solution makes use of geographic location information and previous records of access network parameters. The method exploits the benefits of multihomed mobility configurations by introducing a special handover execution protocol entirely based on flow bindings. Using actual location information and previously recorded context data, the system is able to predict handovers and proactively prepare itself for the appearance of access networks. We studied the performance of our proposal by implementing the framework and handover execution scheme in a real-life 3G/Wi-Fi multiaccess testbed environment, and showed that handover latency is almost totally eliminated. As our solution strongly relies on the prediction accuracy, we have also developed a probabilistic system model and evaluated of the probability of wrong positioning on the prediction raster.