查看文章

Mobility management is one of the major issues in mobile networks to provide an efficient and low-cost service. In this paper, we intend a prediction-based location management scheme for locating a mobile host (MH) or mobile station, which depends on its history of movement pattern of a mobile subscriber. A multilayer neural network (MNN) model for mobile movement prediction is designed to predict the future movement of a mobile host. For predicting the location of a mobile host the MNN is trained with respect to the data obtained from the movement pattern. The difficulties associated with the location management can be solved by nonlinear neural network that is computationally efficient. The major issue in feed forward neural network such as Multilayer perceptron (MLP) trained with back Propagation (BP) is that it requires a large amount of computation time for learning the network. Functional Link Neural …