A novel vertical handover algorithm based on Adap-tive Neuro-Fuzzy Inference System (ANFIS)
International Journal of Engineering & Technology • 2018
معلومات البحث
المؤلفون
Eman Zakaria, Amr A Awamry, Abdelkerim Taman, Abdelhalim Zekry
الكلمات المفتاحية
Vertical Handover; TOPSIS; MADM Method; ANFIS.
المجلة العلمية
International Journal of Engineering & Technology
الناشر
Science Publishing Corporation (SPC)
المجلد
7
العدد
1
الصفحات
74-78
publication.type
International
رابط البحث
Open Link
المواد المرفقة
Not Available
الملخص
Nowadays, there is an increased demand on an Internet connection anywhere at any time. Therefore, one has to exploit all available het-
erogeneous wireless networks where the target is achieving the Always Best Connected (ABC) among the different networks like UMTS,
WiMAX, and WLAN. So, vertical handover techniques are used to ensure the best connectivity anywhere at any time. In this paper, nov-
el ANFIS-based vertical handover is presented and compared with TOPSIS algorithm and other algorithms as a representative of Multi-
criteria decision making (MCDM) algorithm's family. The simulation results show that the proposed handover technique provided better
performance in terms of minimizing the time delay and improving the quality of service (QOS). This is because ANFIS requires itera-
tions only in training phase otherwise, it has a much faster response. Our simulations considered the effect of many practical parameters
on handover, such as subscriber speed, jitter, initial delay, bandwidth and received signal strength (RSS).According to these parameters,
output values produced, which is utilized to choose the best candidate access network
erogeneous wireless networks where the target is achieving the Always Best Connected (ABC) among the different networks like UMTS,
WiMAX, and WLAN. So, vertical handover techniques are used to ensure the best connectivity anywhere at any time. In this paper, nov-
el ANFIS-based vertical handover is presented and compared with TOPSIS algorithm and other algorithms as a representative of Multi-
criteria decision making (MCDM) algorithm's family. The simulation results show that the proposed handover technique provided better
performance in terms of minimizing the time delay and improving the quality of service (QOS). This is because ANFIS requires itera-
tions only in training phase otherwise, it has a much faster response. Our simulations considered the effect of many practical parameters
on handover, such as subscriber speed, jitter, initial delay, bandwidth and received signal strength (RSS).According to these parameters,
output values produced, which is utilized to choose the best candidate access network
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