Heterogeneous wireless network selection using FAHP integrated with TOPSIS and VIKOR

Sasirekha, V.; Ilanzkumaran, M.

doi:10.1109/icprime.2013.6496510

Cited by 16 publications

(14 citation statements)

References 25 publications

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“…Concerning decision-making, algorithms based on intelligent computation are the most performant, using a neural network and intelligent implementation techniques such as fuzzy logic. Indeed, [17] have been interested in the Fuzzy AHP to determine the weight of the evaluation criteria and the Fuzzy TOPSIS for classifying the alternatives. For these reasons, we have included fuzzy logic in the model to ensure the appropriate network selection.…”

Section: B Madm Methodsmentioning

confidence: 99%

A New Approach based on Fuzzy MADM for Enhancing Infrastructure Selection in the Case of VANET Network

Houari¹,

Mazri²

2021

IJACSA

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The emergence of the 5G mobile network has a huge impact on the evolution of services and functionalities offered to its customers; this latest version of mobile networks will allow the simultaneous connection of a significant number of people and IoT devices, in addition to the improvement of several other features. 5G will serve in a large part of smart cities and especially in the field of intelligent transportation systems (ITS). Vehicular Ad-Hoc Network (VANET) is one of the promising projects on which the ITS is relying on. Its main purpose is to provide communication and information-sharing support for the vehicles in its network. VANET is based on a heterogeneous network architecture composed mainly of two infrastructures, the first one is the cellular infrastructure, and the second is the road infrastructure. This paper proposes a new approach based on Fuzzy multiple attribute decision making (MADM) methods for the selection of the most appropriate infrastructure in the VANET network and consequently enhance the number of executed vertical handover to move from one infrastructure to another without loss of connection.

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Section: B Madm Methodsmentioning

confidence: 99%

A New Approach based on Fuzzy MADM for Enhancing Infrastructure Selection in the Case of VANET Network

Houari¹,

Mazri²

2021

IJACSA

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“…An intelligent based MADM handover algorithm has been used to improve the handover performance. Authors in [15] proposed MADM handover algorithm that integrated FAHP with TOPSIS and VIKOR algorithm. FAHP was used to determine the weights of each criterion, while FAHP and VIKOR were used to find the best network to initiate handover.…”

Section: Related Workmentioning

confidence: 99%

Vertical Handover Algorithm for Telemedicine Application in 5G Heterogeneous Wireless Networks

Diong¹,

Goh²,

Chung³

et al. 2021

IJACSA

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In this fast-paced technology era, the advancement of telecommunication systems has made many advanced technologies possible. With the help of the 5G technology, more technologies will become a reality and telemedicine is one of them. Numerous studies have shown that the fatal rate of ischemic heart disease cases can be reduced by sending the realtime patient health data from an ambulance to the medical centre so that healthcare professionals can make early preparation and give immediate treatment in the golden hour. 5G technology offers a high data rate and low latency. However, the coverage of 5G is small compared to 4G. It will induce a high number of unnecessary handovers when an ambulance traverses the 5G networks at high speed and lead to degradation of services quality. Therefore, a fast and accurate vertical handover decision-making algorithm is needed to minimize unnecessary handover in high-speed scenarios. This paper proposes a handover algorithm that integrates the Travelling Time Estimation, Fuzzy Analytic Hierarchy Process (FAHP) and Technique for order of preference by similarity to ideal solution (TOPSIS) algorithms to reduce unnecessary handover in 5G heterogeneous networks. The simulation results show that the proposed algorithm has successfully reduced up to 80.3% of handovers compared to FAHP-TOPSIS based handover algorithm in the high-speed scenario. The proposed handover algorithm can improve the quality of telemedicine services in high-speed scenarios.

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“…Sasirekha and Ilanzkumaran [28] described two methods to perform network selection. Initially, both methods use a fuzzy version of the AHP technique to obtain the weights of selection criteria specifying networks performance.…”

Section: Related Workmentioning

confidence: 99%

An analytic network process and trapezoidal interval‐valued fuzzy technique for order preference by similarity to ideal solution network access selection method

Skondras

Sgora

Michalas

et al. 2014

Int J Communication

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Next generation wireless networks consist of many heterogeneous access technologies that should support various service types with different quality of service (QoS) constraints, as well as user, requirements and provider policies. Therefore, the need for network selection mechanisms that consider multiple factors must be addressed. In this paper, a network selection method is proposed by applying the analytic network process to estimate the weights of the selection criteria, as well as a fuzzy version of technique for order preference by similarity to ideal solution to perform the ranking of network alternatives. The method is applied to a heterogeneous network environment providing different QoS classes and policy characteristics. Each user applies the method to select the most appropriate network, which satisfies his or her requirements in respect of his or her service-level agreement (SLA). Performance evaluation shows that when the user requests only one service, the proposed method performs better compared to the original technique for order preference by similarity to ideal solution, as well as the Fuzzy AHP-ELECTRE method. Moreover, the proposed method can be applied in cases where a user requires multiple services simultaneously on a device. The sensitivity analysis of the proposed method shows that it can be properly adjusted to conform to network environment changes.of heterogeneous networks, seamless interworking among the different technologies is also needed [7]. Thus, special attention to the VHO process should be given [8].The VHO procedure consists of three main steps including the handover initiation, the network selection, and the handover execution. The initiation step contains the required procedures to identify the available access networks and select the time of handover in respect of network conditions and user mobility. The network selection step is related to the selection of the most appropriate network alternative based on the available network characteristics, user preferences, and applications requirements. Finally, the execution step completes the handover process by seamlessly connecting the terminal to the selected network. This paper deals with the network selection step of the VHO process.Existing handover network selection schemes employ multi attribute decision-making methods (MADM), fuzzy logic, neural networks, and utility functions [9]. However, because the selection of an access network depends on several parameters with different relative importance, the access network selection problem is usually looked at from the aspect of multi-criteria analysis and more specifically by applying different MADM algorithms. In this paper, a network selection method is proposed by employing two MADM algorithms: the analytic network process (ANP), which is an extension of the analytic hierarchy process (AHP) for criteria weights calculation, and a fuzzy version of the technique for order preference by similarity to ideal solution (TOPSIS) for accomplishing the ranking of the candidate net...

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Heterogeneous wireless network selection using FAHP integrated with TOPSIS and VIKOR

Cited by 16 publications

References 25 publications

A New Approach based on Fuzzy MADM for Enhancing Infrastructure Selection in the Case of VANET Network

A New Approach based on Fuzzy MADM for Enhancing Infrastructure Selection in the Case of VANET Network

Vertical Handover Algorithm for Telemedicine Application in 5G Heterogeneous Wireless Networks

An analytic network process and trapezoidal interval‐valued fuzzy technique for order preference by similarity to ideal solution network access selection method

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