A novel RSSI prediction using imperialist competition algorithm (ICA), radial basis function (RBF) and firefly algorithm (FFA) in wireless networks
This study aims to design a vertical handover prediction method to minimize unnecessary handovers for a mobile node (MN) during the vertical handover process. This relies on a novel method for the prediction of a received signal strength indicator (RSSI) referred to as IRBF-FFA, which is designed...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English English English |
| Published: |
plos.org
2016
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/51495/ http://irep.iium.edu.my/51495/ http://irep.iium.edu.my/51495/1/journal.pone.0151355.PDF http://irep.iium.edu.my/51495/3/51495_A_Novel_RSSI_Prediction_Using_Imperialist_Competition_SCOPUS.pdf http://irep.iium.edu.my/51495/6/51495_A%20novel%20RSSI%20prediction_WOS.pdf |
| Summary: | This study aims to design a vertical handover prediction method to minimize unnecessary
handovers for a mobile node (MN) during the vertical handover process. This relies on a
novel method for the prediction of a received signal strength indicator (RSSI) referred to as
IRBF-FFA, which is designed by utilizing the imperialist competition algorithm (ICA) to train
the radial basis function (RBF), and by hybridizing with the firefly algorithm (FFA) to predict
the optimal solution. The prediction accuracy of the proposed IRBF–FFA model was validated
by comparing it to support vector machines (SVMs) and multilayer perceptron (MLP)
models. In order to assess the model’s performance, we measured the coefficient of determination
(R2
), correlation coefficient (r), root mean square error (RMSE) and mean absolute
percentage error (MAPE). The achieved results indicate that the IRBF–FFA model provides
more precise predictions compared to different ANNs, namely, support vector machines
(SVMs) and multilayer perceptron (MLP). The performance of the proposed model is analyzed
through simulated and real-time RSSI measurements. The results also suggest that
the IRBF–FFA model can be applied as an efficient technique for the accurate prediction of
vertical handover. |
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