Modeling and performance of movement-based registration in wireless network

Various location registration schemes have been proposed to minimize the signaling cost on radio channels. In this study, we consider movement-based registration (MBR). MBR is simple and its implementation is quite straightforward. However, it may exhibit relatively frequent location registrations compared to other methods. To solve this problem, a new MBR scheme combined with implicit registration (MBIR) was proposed and analyzed by using the continuous-time Markov chain (CTMC) model. However, previously developed CTMC models have some inherent flaws. Therefore, we propose a new model using an imbedded Markov chain (IMMC) in order to analyze the exact performance of movement-based registration schemes. The numerical results obtained with the proposed IMMC model are compared with those from previous CTMC models.