Abstract
Constantly faster, mobile terminals are developing, as well as wireless networks, to satisfy the growth of “Always Best Connected” demand. Users nowadays want to access the best available wireless network, either from 3GPP or IEEE group technologies, wherever they are, without losing their sessions. Consequently, mobile terminals must seamlessly transfer the communications to another access technology (vertical handover) if needed, as they often move into heterogeneous wireless environments. This work aims to optimize the network selection step in the vertical handover process. Multiattribute Decision-Making methods naturally fit this context. Nevertheless, they make wrong handover decisions sometimes, due to imprecise data collected from the metrics. This manuscript presents the use of a hybrid method, combining the fuzzy technique for order preference by similarity to the ideal situation and fuzzy analytic network process, in the network selection, to improve the quality of service and avoid, as much as possible, unnecessary handovers. The results demonstrate that this combination is the best, compared to the other methods of the same type in the network selection context.
Highlights
Background evertical handover (VH) architectures aim to select the best available network, allowing mobile users (MUs) to access the different services they want anytime, anywhere they are
We present the steps of TOPSIS, modified gray relational analysis (GRA), fuzzy TOPSIS (FTOPSIS), and fuzzy GRA (FGRA), respectively, as they are the main methods we will compare in our work
Starting from the conviction that fuzzy Multiattribute Decision-Making (MADM) methods perform better and fit more our situation, we study the use of FTOPSIS in the network selection context. e fuzzy theory consists of using fuzzy sets instead of numeric crisp values, to express the performance level of a defined attribute or a measurement. is theory introduces the notion of interval values to assess real-life judgments and nondeterministic attributes
Summary
VH architectures aim to select the best available network, allowing mobile users (MUs) to access the different services they want anytime, anywhere they are. This decision should consider different parameters and needs continuous optimization to enhance the delivered QoS to the end-users and not to cause session ruptures. In [15], the authors describe the VH process and its steps, present some parameters used to select the best available wireless network in a heterogeneous environment, classify the VH strategies based on the used techniques, and list the different criteria to consider when evaluating them. In [15], the authors describe the VH process and its steps, present some parameters used to select the best available wireless network in a heterogeneous environment, classify the VH strategies based on the used techniques, and list the different criteria to consider when evaluating them. ey propose some combinations of techniques that could make better decisions and allow the best connectivity
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