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A New Fuzzy-TOPSIS based Algorithm for Network Selection in Next-Generation Heterogeneous Networks

Authors:
Chattate Imane at Université Hassan II de Casablanca
Chattate Imane
M. El Khaili at Université Hassan II de Casablanca
M. El Khaili
Bakkoury Jamila at Université Hassan II de Casablanca- ENSET Mohammedia
Bakkoury Jamila
  • Université Hassan II de Casablanca- ENSET Mohammedia
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The overuse of next-generation wireless networks such as 4G and future generations, has made the appearance of the vertical transfer to allow mobile users to move between different heterogeneous networks at anytime and anywhere. This rapid evolution of wireless communication technologies imposes an improvement of the quality of service (Qos) in order to keep the user Always Best Connected (ABC). The purpose of this paper is to discuss the trouble of network selection employing the multi attribute decision-making (MADM) methods to improve decision making at the time of a vertical handover. We propose a network selection approach based on the enhancement of the Fuzzy technique for order preference by similarity to the ideal solution (FTOPSIS) algorithm, applied to classify the available networks. Afterwards Fuzzy analytic hierarchy process (FAHP) method used to obtain the weights of Criteria. Implementation and simulation experiments are presented to evaluate our proposed approach. The factual results show that our FE-TOPSIS algorithm outperforms the classic FTOPSIS algorithms.
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