A Fuzzy Based Handover Decision Scheme for Mobile Devices Using Predictive Model

Gupta, Amit Kumar; Goel, Vinod; Garg, Ruchi; Thirupurasundari, D R; Verma, Ankit; Sain, Mangal

doi:10.3390/electronics10162016

Cited by 10 publications

(6 citation statements)

References 24 publications

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“…In this section, the performance of the proposed HMM-based VHO prediction scheme is first evaluated using different time windows w . Thereafter, the handover performance of the proposed HMM algorithm is compared to the threshold-based technique [ 38 ] that uses a fixed limit to initiate handover, and state-of-the-art intelligent methods: the fuzzy controller-based approach in the related references [ 18 , 19 , 20 , 21 ] and the neural network frameworks in [ 17 ]. The same heterogeneous network environment on MATLAB is setup to perform a fair comparison of the methods.…”

Section: Results and Discussionmentioning

confidence: 99%

“…The handover technique reduced ping-pong effects while improving the overall performance for mobile users in the network. Similarly, a vertical handover decision algorithm was proposed for next-generation networks using a fuzzy predictive model in [ 20 ]. The scheme utilized a multi-layer feed forward network to determine the user’s next position and a multiple-attribute access network selection function to obtain the most likely access network.…”

Section: Introductionmentioning

confidence: 99%

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Vertical Handover Prediction Based on Hidden Markov Model in Heterogeneous VLC-WiFi System

Babalola

Balyan

2022

Sensors

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Visible light communication (VLC) channel quality depends on line-of-sight (LoS) transmission, which cannot guarantee continuous transmission due to interruptions caused by blockage and user mobility. Thus, integrating VLC with radio frequency (RF) such asWireless Fidelity (WiFi), provides good quality of experience (QoE) to users. A vertical handover (VHO) scheme that optimizes both the cost of switching and dwelling time of the hybrid VLC–WiFi system is required since blockage on VLC LoS usually occurs for a short period. Hence, an automated VHO algorithm for the VLC–WiFi system based on the hidden Markov model (HMM) is developed in this article. The proposed VHO prediction scheme utilizes the channel characterization of the networks, specifically, the measured received signal strength (RSS) values at different locations. Effective RSS are extracted from the huge datasets using principal component analysis (PCA), which is adopted with HMM, and thus reducing the computational complexity of the model. In comparison with state-of-the-art VHO handover prediction methods, the proposed HMM-based VHO scheme accurately obtains the most likely next assigned access point (AP) by selecting an appropriate time window. The results show a high VHO prediction accuracy and reduced mixed absolute percentage error performance. In addition, the results indicate that the proposed algorithm improves the dwell time on a network and reduces the number of handover events as compared to the threshold-based, fuzzy-controller, and neural network VHO prediction schemes. Thus, it reduces the ping-pong effects associated with the VHO in the heterogeneous VLC–WiFi network.

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Section: Results and Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Vertical Handover Prediction Based on Hidden Markov Model in Heterogeneous VLC-WiFi System

Babalola

Balyan

2022

Sensors

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“…the handover process [30]. The goal is to assign a suitable network for each user with a single application type of either voice, video, or data while moving across the considered HetNet.…”

Section: Plos Onementioning

confidence: 99%

An adaptive optimized handover decision model for heterogeneous networks

Ezz-Eldien,

Abdel-Atty,

Abdalla

et al. 2023

PLoS ONE

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A heterogeneous network (HetNet), combining different technologies, is considered a promising solution adopted by several upcoming generations of mobile networks to keep up with the rapid development of mobile users’ requirements while improving network performance. In this scenario, a vertical handover (VHO) algorithm is responsible for ensuring the continuity of the ongoing user connection while moving within the coverage of the HetNet. Although various VHO algorithms were proposed, achieving efficient performance from both network and user perspectives remains challenging. This paper proposes an adaptive optimized vertical handover algorithm based on a multi-attribute decision-making (MADM) algorithm integrated with particle swarm optimization and gravitational search algorithm (PSOGSA) as a framework to implement the handover process. The algorithm includes three main ideas. Firstly, a network selection framework is proposed considering the most important criteria, including signal strength and other networks’ attributes, along with users’ characteristics regarding their mobility and service preferences. Secondly, two new parameters are introduced as control handover parameters named load factor (LF) and score priority (SP) to reduce unnecessary handovers and the overall HetNet power consumption while achieving balanced load distribution. Lastly, the desired aims are formulated as an objective function, then the PSOGSA algorithm is used to reach the optimal values of both LF and SP, which will be considered when executing the handover algorithm. The presented algorithm is simulated in a heterogeneous wireless network where the fifth-generation (5G) wireless technology coexists with other radio access networks to improve the evaluation field of the proposed algorithm. Also, the proposed algorithm’s performance is evaluated in the case of using various MADM algorithms. The simulation results show that the proposed adaptive optimized approach attains efficient performance by decreasing unnecessary handovers by more than 40% and achieving much better load distribution by around 20% to 40%, outperforming traditional handover approaches.

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“…However, how the system performs under diferent network conditions and how changing certain aspects afect it are some areas related to its limitations that the authors could discuss. Gupta et al [24] addressed the call-dropping problem during vertical handover by proposing a predictive model that utilizes fuzzy logic. Teir system achieved lower delay and better bandwidth utilization than earlier proposed fuzzy logicbased algorithms.…”

Section: Related Workmentioning

confidence: 99%

User Preference-Based Heterogeneous Network Management System for Vertical Handover

Ndegwa,

Nyachionjeka,

Mharakurwa

2023

Journal of Electrical and Computer Engineering

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Vertical handover management plays an essential role in wireless network technologies, mainly due to the rapid development of various radio access technologies (RATs) that require users to connect seamlessly from one RAT to another. However, in multiple RAT environments, vertical handover management encounters different challenges, including unnecessary handovers, handover failures, ping-pong handovers, and unsuitable access network selection. Essential in vertical handover management is maintaining the desired quality of service (QoS) by the mobile device user. The seamless movement of mobile device users as they run various applications depends on a well-performing vertical handover decision-making algorithm. This bears special significance in a heterogeneous network environment. This paper proposes a vertical handover algorithm that considers user preferences (i.e., a vertical handover algorithm that evaluates the application currently running on a user device). The main objective of the algorithm is to determine when it is necessary to perform the handover, depending on the applications running on the mobile device. The proposed algorithm utilizes a fuzzy logic system to assess whether the handover is necessary and a multiattribute decision-making (MADM) method to select the best available radio access network. A simulation scenario involving different applications at various mobile device velocities was developed. The results proved the algorithm’s effectiveness compared to some of the earlier proposed vertical handover algorithms. At velocities below 10 m/s and 30 m/s, the proposed algorithm had 0% and 15.02% unnecessary handovers, respectively, while the technique for order preference by similarity to ideal solution (TOPSIS) utility’s function-based algorithm obtained 12.38% and 23.24% at the same velocities, respectively. In addition, compared to TOPSIS, the obtained results of the proposed algorithm demonstrated a lower handover failure rate and ping-pong rate for a velocity span of 1–30 m/s for the considered user applications.

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A Fuzzy Based Handover Decision Scheme for Mobile Devices Using Predictive Model

Cited by 10 publications

References 24 publications

Vertical Handover Prediction Based on Hidden Markov Model in Heterogeneous VLC-WiFi System

Vertical Handover Prediction Based on Hidden Markov Model in Heterogeneous VLC-WiFi System

An adaptive optimized handover decision model for heterogeneous networks

User Preference-Based Heterogeneous Network Management System for Vertical Handover

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