A New Fuzzy-TOPSIS based Algorithm for Network Selection in Next-Generation Heterogeneous Networks

Chattate, Imane; Khaïli, Mohamed El; Bakkoury, Jamila

doi:10.12720/jcm.14.3.194-201

Cited by 11 publications

(6 citation statements)

References 35 publications

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“…As the new network for the MN to attach to is predicted by the DH earlier, the throughput is higher, as expected by the user in mobility state. When compared with the existing algorithm [23], the proposed algorithm has high throughput. Three algorithms such as TOPRES, RAMOC and Fuzzy algorithms ensure the increased throughput as a best network is chosen based on maximum results produced individually by these algorithms.…”

Section: Throughputmentioning

confidence: 99%

Multi-Criteria Fuzzy-Based Decision Making Algorithm to Optimize the VHO Performance in Hetnets

Prithiviraj¹,

Maheswari²,

Balamurugan³

et al. 2022

Computers, Materials &Amp; Continua

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Despite the seemingly exponential growth of mobile and wireless communication, this same technology aims to offer uninterrupted access to different wireless systems like Radio Communication, Bluetooth, and Wi-Fi to achieve better network connection which in turn gives the best quality of service (QoS). Many analysts have established many handover decision systems (HDS) to enable assured continuous mobility between various radio access technologies. Unbroken mobility is one of the most significant problems considered in wireless communication networks. Each application needs a distinct QoS, so the network choice may shift appropriately. To achieve this objective and to choose the finest networks, it is important to select a best decision making algorithm that chooses the most effective network for every application that the user requires, dependent on QoS measures. Therefore, the main goal of the proposed system is to provide an enhanced vertical handover (VHO) decision making program by using a Multi-Criteria Fuzzy-Based algorithm to choose the best network. Enhanced Multi-Criteria algorithms and a Fuzzy-Based algorithm is implemented successfully for optimal network selection and also to minimize the probability of false handover. Furthermore, a double packet buffer is utilized to decrease the packet loss by 1.5% and to reduce the number of handovers up to 50% compared to the existing systems. In addition, the network setup has an optimized mobility management system to supervise the movement of the mobile nodes.

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Section: Throughputmentioning

confidence: 99%

Multi-Criteria Fuzzy-Based Decision Making Algorithm to Optimize the VHO Performance in Hetnets

Prithiviraj¹,

Maheswari²,

Balamurugan³

et al. 2022

Computers, Materials &Amp; Continua

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“…Chattate et al [22] proposed a Fuzzy Enhanced-TOPSIS based handover decision-making algorithm that considers each access network throughput, data rate, jitter, latency, and battery. The Fuzzy Enhanced-TOPSIS (FE-TOPSIS) method first construct a decision matrix where each row corresponds to an available network (A 1 , A 2 , A 3 …) and each column j corresponds to a different criterion (C 1 , C 2 , C 3 …).…”

Section: Figure 18 Genetic Algorithm Processmentioning

confidence: 99%

Vertical Handover Decision Making Algorithms for 5G Heterogeneous Networks: A Review

Goh¹,

Yew²,

Wen³

et al. 2022

IJETAE

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The wireless networks have been rapidly used in our daily lives, especially mobile wireless networks. An environment consisting of several networks such as WLAN, 4G-LTE, and 5G, is known as a heterogeneous network. Wireless networks are widely used to support various data services such as live video streaming, upload data, download data and cloud service depending upon their capacity and nature. When the mobile terminal is moving, the network availability will be changed. Therefore, the mobile terminal must perform handover from one network to another network in heterogeneous networks to maintain the call and quality of service (QoS). This process is known as Vertical Handover (VHO). A seamless handover is important to provide uninterrupted high quality service while performing the handover. To achieve this, various vertical handover decision making algorithms have been proposed and studied using advanced tools and proven concepts. This paper gives an overview of current research on handover decision making in fifth generation (5G) heterogeneous wireless networks. Keywords—Vertical Handover Decision Making, Heterogeneous Networks, Quality of Service, 5G, Seamless Handover

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“…In [11] the authors have conducted a study to analyse performance analysis of accuracy of weight calculations in fuzzy comparison matrices. From the wide variety of FAHP methods available to nine methods like Logarithmic Latest Square Method The handover decision making in [13]is performed using FAHP (for weight calculation), FTOPSIS and fuzzy enhance TOPSIS (for ranking the networks). Four networks have been used for simulation for all the four QoS traffic classes with consideration to six parameters.…”

Section: Fuzzy Analytic Hierarchy Process (Fahp)mentioning

confidence: 99%

Enhanced Handoff Decision Making for Application-Aware Environment by Using Blended Approach

Kaur¹,

Mittal²

2021

IJIES

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Seamless integration of the new and existing networks is required to create next generation wireless networks capable of providing wide range of services coupled with uninterrupted connectivity and high speeds offering unprecedented quality of service to users. Smooth and proficient handoff techniques are important to achieve optimal network performance in heterogeneous wireless environments. This paper proposes Multiple Criteria Decision Making (MCDM) techniques of both non-fuzzy (Technique for Order of Performance by Similarity to Ideal Solution (TOPSIS)) and fuzzy (Fuzzy TOPSIS (FTOPSIS)) type for network ranking. The proposed algorithm uses priority ranking to assign weights to six parameters by using Fuzzy Analytic Hierarchy Process (FAHP). Further, TOPSIS and FTOPSIS techniques are compared for various traffic classes and used for network selection in the prevalent network conditions. The results show that contingent on the traffic classes, the FTOPSIS selects the ideal network with diminished ping-pong rate and call blocking probability as compared to TOPSIS while accounting for the uncertain environment.

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A New Fuzzy-TOPSIS based Algorithm for Network Selection in Next-Generation Heterogeneous Networks

Cited by 11 publications

References 35 publications

Multi-Criteria Fuzzy-Based Decision Making Algorithm to Optimize the VHO Performance in Hetnets

Multi-Criteria Fuzzy-Based Decision Making Algorithm to Optimize the VHO Performance in Hetnets

Vertical Handover Decision Making Algorithms for 5G Heterogeneous Networks: A Review

Enhanced Handoff Decision Making for Application-Aware Environment by Using Blended Approach

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