Implementation of Artificial Neural Network for Mobile Movement Prediction

J  Venkata Subramanian   and M  Abdul Karim Sadiq

doi:10.17485/ijst/2014/v7i6.12

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Implementation of Artificial Neural Network for Mobile Movement Prediction

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Indian Journal of Science and Technology

DOI: 10.17485/ijst/2014/v7i6.12

Year: 2014, Volume: 7, Issue: 6, Pages: 858–863

Original Article

Implementation of Artificial Neural Network for Mobile Movement Prediction

J. Venkata Subramanian^1* and M. Abdul Karim Sadiq²

1 Department of MCA, SRM University, Chennai, Tamil Nadu, India; venkat.j@ktr.srmuniv.ac.in
2 College of Applied Sciences, Sohar, Ministry of Higher Education, Oman; abdulkarim.soh@cas.edu.om

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

Mobile movement estimation is an utmost requirement for proper handoff signals to the nearby mobile towers. The direction in which a mobile would move next has to be predicted so that disruption in the signal during conversation does not occur. Artificial Neural Network (ANN) with Back propagation algorithm is used for predicting the mobile movement. The results are compared with data mining approach by Go¨khan (1995). The prediction performance of ANN algorithms is higher than that of the data mining approach.

Keywords: Artificial Neural Network, Back Propagation Algorithm, Data Mining, Mobile Movement, User Pattern Learning