Location Prediction Using Efficient Radial Basis Neural Network

In real life mobile users shows a non random movement behavior. On a daily basis the user travels in a well defined area and only occasionally it travels to new area. This feature can be extracted and used to predict the next location of the user, which can reduce a lot of cost incurred by the network in searching a user. In this present paper for prediction of user's location, movement based model is prepared and with the support of neural network user's path and location is tracked in an optimal way.

Provided by: International Association of Computer Science & Information Technology (IACSIT) Topic: Mobility Date Added: Jan 2012 Format: PDF

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