• M.BIRUNDA

In a wireless communication system, wireless location is the technique used to predict the node location of a mobile station. To enhance the accuracy of a mobile station, an algorithm is proposed that utilizes location services to locate the mobile stations for multiple base stations. A multilayer neural network model for mobile movement prediction will be designed to predict the future movement of mobile host. The model will be trained with the data obtained from past movement pattern of a mobile host. Simulation and comparative analysis will be carried in MATLAB for different locations.

Cellular communication system, location management, movement prediction, multilayer neural network

"Prediction-Based Location Management using Backpropagation in Wireless Communication ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 3, page no.946-954, March-2021, Available :http://www.jetir.org/papers/JETIR2103129.pdf

"Prediction-Based Location Management using Backpropagation in Wireless Communication ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 3, page no. pp946-954, March-2021, Available at : http://www.jetir.org/papers/JETIR2103129.pdf