Location Prediction of Mobility Management Using Soft Computing Techniques in Cellular Network

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Smita Parija 1,* Santosh Kumar Nanda 2 Prasanna Kumar Sahu 1 Sudhansu Sekhar Singh 3

1. Department of Electrical engineering, National Institute of Technology, Rourkela

2. Centre of Research, Development and Consultancy , Eastern Academy of Science and Technology, Bhubaneswar, Odisha, India

3. Department of Electronics Engineering, KIIT University, BBSR

* Corresponding author.

DOI: https://doi.org/10.5815/ijcnis.2013.06.04

Received: 21 Sep. 2012 / Revised: 2 Jan. 2013 / Accepted: 17 Feb. 2013 / Published: 8 May 2013

Index Terms

Cellular Network, Mobility Management, Neural Network, Multi layer perceptron


This work describes the neural network technique to solve location management problem. A multilayer neural model is designed to predict the future prediction of the subscriber based on the past predicted information of the subscriber. In this research work, a prediction based location management scheme is proposed for locating a mobile terminal in a communication without losing quality maintains a good response. There are various methods of location management schemes for prediction of the mobile user. Based on individual characteristic of the user, prediction based location management can be implemented. This work is purely analytical which need the past movement of the subscriber and compared with the simulated one. The movement of the mobile target is considered as regular and uniform. An artificial neural network model is used for mobility management to reduce the total cost. Single or multiple mobile targets can be predicted. Among all the neural techniques multilayer perceptron is used for this work. The records are collected from the past movement and are used to train the network for the future prediction. The analytical result of the prediction method is found to be satisfactory.

Cite This Paper

Smita Parija, Santosh Kumar Nanda, Prasanna Kumar Sahu, Sudhansu Sekhar Singh, "Location Prediction of Mobility Management Using Soft Computing Techniques in Cellular Network", International Journal of Computer Network and Information Security(IJCNIS), vol.5, no.6, pp.27-33, 2013. DOI:10.5815/ijcnis.2013.06.04


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