scholarly journals Improvement of Mobility Management in Heterogeneous Wireless Networks by Using Multiple Attribute Decision Making

2011 ◽  
Vol 4 (4) ◽  
Author(s):  
Mojgan Taheri ◽  
Mohammad Ali Afshar Kazemi ◽  
Abbas Toloui Ashlaghi
Keyword(s):  
Decision Making ◽  
Wireless Networks ◽  
Mobility Management ◽  
Heterogeneous Wireless Networks ◽  
Multiple Attribute Decision Making ◽  
Multiple Attribute

scholarly journals Evaluation of Vertical Handoff Decision Algorightms Based on MADM Methods for Heterogeneous Wireless Networks

2012 ◽  
Vol 10 (4) ◽  
Author(s):  
E. Stevens-Navarro ◽  
J.D. Martinez-Morales ◽  
U. Pineda-Rico
Keyword(s):  
Wireless Networks ◽  
Heterogeneous Wireless Networks ◽  
Multiple Attribute Decision Making ◽  
Wireless Access ◽  
Vertical Handoff ◽  
Technical Issue ◽  
Wireless Environment ◽  
Multiple Attribute ◽  
Voice Data ◽  
Extensive Performance

In the forthcoming heterogeneous wireless environment, the mobility management of users roaming between different wireless access technologies is a challenging and important technical issue. New mobile devices such as netbooks, smartphones and tablets allow users to perform vertical handoffs among different wireless networks. The multiple attribute decision making (MADM) methods are suitable tools to model and study the vertical handoff process. Hence, recently several MADM methods such as SAW, MEW, TOPSIS, GRA, ELECTRE, VIKOR and WMC have been proposed for vertical handoff. In this paper, we present an extensive performance evaluation and comparative study of the seven MAMD methods by means of numerical simulations in MATLAB. We evaluate the performance of each vertical handoff method under different applications such as voice, data, and cost-constrained connections. We also perform a sensitivity analysis and evaluate the computational complexity of each method in terms of number of floating point operations.

scholarly journals Particle swarm optimization application for multiple attribute decision making in vertical handover in heterogenous wireless networks

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Mishal Al-Gharabally ◽  
◽  
Ali F. Almutairi ◽  
Ayed A. Salman ◽  
◽  
...  
Keyword(s):  
Decision Making ◽  
Wireless Networks ◽  
Particle Swarm Optimization ◽  
Particle Swarm ◽  
Vertical Handover ◽  
Multiple Attribute Decision Making ◽  
Network Selection ◽  
Swarm Optimization ◽  
Multiple Attribute ◽  
Handover Process

In wireless heterogenous networks, mobile terminals are covered by different wireless networks with varying quality of services to ensure the delivery of different classes of services. In this paper, Particle swarm optimization (PSO) was applied to the distance to ideal alternative (DIA) technique in the framework of network selection in a heterogenous wireless network. The PSO was applied to overcome the subjectivity and bias in the weights’ assignment process used in multiple attribute decision making (MADM). The PSO was utilized to optimize the weights of the DIA method through the maximization of the absolute value of the summation of the ranking differences among candidate networks. In this regard, two different optimization functions were introduced and used to generate the optimum weights. The performance of the PSO-based handover for the DIA method was investigated in terms of ranking difference, ranking abnormalities, and network selection. The results show that the proposed PSO-based weights’ assignment technique increased the ranking difference and reduced the ranking abnormalities without degrading the network selection when compared to the conventional DIA technique. The results of this paper are expected to widen the application of the DIA method and other MADM techniques to the handover process in wireless networks and other decision-based challenges in other fields.

PENERAPAN METODE SIMPLE ADDITIVE WEIGHTING DALAM PENETAPAN TENAGA KEPENDIDIKAN BERPRESTASI

2018 ◽  
Vol 1 (2) ◽  
pp. 45-54
Author(s):  
Helpi Nopriandi
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Multiple Attribute Decision Making ◽  
Multiple Attribute ◽  
Simple Additive Weighting

Tenaga Kependidikan merupakan anggota masyarakat yang mengabdikan diri dan diangkat untuk menunjang penyelenggaraan pendidikan. Decision Support Systems atau lebih dikenal dengan Sistem Pendukung Keputusan adalah bagian dari sebuah sistem informasi yang berbasis komputer termasuk sistem yang berbasis ilmu pengetahuan dan dipakai untuk mendukung pengambil  keputusan dalam suatu organisasi atau perusahaan. untuk memudahkan pimpinan dalam mengambil sebuah keputusan dibuatlah suatu sistem pengambil keputusan dengan menggunakan Fuzzy Multiple Attribute Decision Making  (FMADM) digunakan untuk mencari alternatif optimalkan dari sejumlah alternatif dengan kriteria tertentu, sedangkan metode Simple Additive Weighting (SAW). Metode SAW sering juga dikenal istilah metode penjumlahan terbobot. Konsep dasar metode SAW adalah mencari penjumlahan terbobot dari rating kinerja pada setiap alternatif dari semua atribut.

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