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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 3 Issue 4, 2012.
Abstract: The Heterogeneous Wireless Network (HWN) integrates different wireless networks into one common network. The integrated networks often overlap coverage in the same wireless service areas, leading to the availability of a great variety of innovative services based on user demands in a cost-efficient manner. Joint Admission Control (JAC) handles all new or handoff service requests in the HWN. It checks whether the incoming service request to the selected Radio Access Network (RAN) by the initial access network selection or the vertical handover module can be admitted and allocated the suitable resources. In this paper, a decision support system is developed to address the JAC problem in the modern HWN networks. This system combines fuzzy logic and the PROMETHEE II multiple criteria decision making system algorithm, to the problem of JAC. This combination decreases the influence of the dissimilar, imprecise, and contradictory measurements for the JAC criteria coming from different sources. A performance analysis is done and the results are compared with traditional algorithms for JAC. These results demonstrate a significant improvement with our developed algorithm.
Mohammed M Alkhawlani, Fadhl M. Al-Akwaa and Abdulqader M. Mohsen, “Intelligent Joint Admission Control for Next Generation Wireless Networks ” International Journal of Advanced Computer Science and Applications(IJACSA), 3(4), 2012. http://dx.doi.org/10.14569/IJACSA.2012.030409
@article{Alkhawlani2012,
title = {Intelligent Joint Admission Control for Next Generation Wireless Networks
},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2012.030409},
url = {http://dx.doi.org/10.14569/IJACSA.2012.030409},
year = {2012},
publisher = {The Science and Information Organization},
volume = {3},
number = {4},
author = {Mohammed M Alkhawlani and Fadhl M. Al-Akwaa and Abdulqader M. Mohsen}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.