Abstract
This paper presents Binary Genetic Algorithm (BGA) is a heuristic, adaptive population based method and which has shown to be a very powerful global search method used for optimization process. Using BGA the objective of this work is used to minimize the location management cost thereby achieve trade-off between location update and paging cost based on reporting cell planning configuration. This BGA algorithm is used to solve location management cost using reporting cell planning problem. With the use of reporting cell location management some cells are designated as reporting cells where mobile station (MS) updates its location upon entering the same coverage. The effectiveness of the technique is tested for collected real data for validation and presented in the paper. The simulation results obtained from this work with reasonable degree of accuracy are very encouraging.
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Parija, S.R., Addanki, P., Sahu, P.K., Singh, S.S. (2015). Cost Reduction in Reporting Cell Planning Configuration Using Soft Computing Algorithm. In: Satapathy, S., Biswal, B., Udgata, S., Mandal, J. (eds) Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014. Advances in Intelligent Systems and Computing, vol 327. Springer, Cham. https://doi.org/10.1007/978-3-319-11933-5_93
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DOI: https://doi.org/10.1007/978-3-319-11933-5_93
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11932-8
Online ISBN: 978-3-319-11933-5
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