Indian Journal of Science and Technology

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Implementation of Artificial Neural Network for Mobile Movement Prediction


Affiliations
1 Department of MCA, SRM University, Chennai, Tamil Nadu, India
2 College of Applied Sciences, Sohar, Ministry of Higher Education, Oman
 

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
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  • Implementation of Artificial Neural Network for Mobile Movement Prediction

Abstract Views: 273  |  PDF Views: 0

Authors

J. Venkata Subramanian
Department of MCA, SRM University, Chennai, Tamil Nadu, India
M. Abdul Karim Sadiq
College of Applied Sciences, Sohar, Ministry of Higher Education, Oman

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



DOI: https://doi.org/10.17485/ijst%2F2014%2Fv7i6%2F54339