A novel RSSI prediction using imperialist competition algorithm (ICA), radial basis function (RBF) and firefly algorithm (FFA) in wireless networks

• Main Authors: Goudarzi, Shidrokh, Hassan, Wan Haslina, Hassan Abdalla Hashim, Aisha, Soleymani, Seyed Ahmad, Anisi, Mohammad Hossein, Zakaria, Omar M.
• Format: Article
• Language: English; English; English
• Published: plos.org 2016
• Subjects: TK5101 Telecommunication. Including telegraphy, radio, radar, television
• Online Access: 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; http://irep.iium.edu.my/51495/; http://dx.doi.org/10.1371/journal.pone.0151355

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...