An adaptive optimized handover decision model for heterogeneous networks DOI Creative Commons

Nada Ahmed Ezz-Eldien,

Heba M. Abdel‐Atty,

Mahmoud I. Abdalla

et al.

PLoS ONE, Journal Year: 2023, Volume and Issue: 18(11), P. e0294411 - e0294411

Published: Nov. 15, 2023

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

Language: Английский

Circular economy-based assessment framework for enhancing sustainability in renewable energy development with life cycle considerations DOI
Yanchun Pan, Ali Hashemizadeh

Environmental Impact Assessment Review, Journal Year: 2023, Volume and Issue: 103, P. 107289 - 107289

Published: Sept. 25, 2023

Language: Английский

Citations

26
A Hybrid Group Multi-Criteria Approach Based on SAW, TOPSIS, VIKOR, and COPRAS Methods for Complex IoT Selection Problems DOI Open Access
Constanța Zoie Rădulescu, Marius Rădulescu

Electronics, Journal Year: 2024, Volume and Issue: 13(4), P. 789 - 789

Published: Feb. 17, 2024

The growth of Internet Things (IoT) systems is driven by their potential to improve efficiency, enhance decision-making, and create new business opportunities across various domains. In this paper, the main selection problems in IoT-type systems, criteria used multi-criteria evaluation, methods for solving IoT are identified. Then, a Hybrid Group Multi-Criteria Approach proposed. approach contains Best Worst Method (BWM) weighting method, Simple Additive Weighting (SAW), Technique Order Preference Similarity an Ideal Solution (TOPSIS), VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR), Complex Proportional Assessment (COPRAS), method that combines solutions obtained using four considered obtain single solution. SAW, TOPSIS, VIKOR, COPRAS were analyzed relation advantages, disadvantages, inputs, outputs, measurement scale, type normalization, aggregation parameters, complexity implementation, interactivity. An application platform comparison between solution proposed realized. A Spearman correlation analysis presented.

Language: Английский

Citations

12
MADM-based network selection and handover management in heterogeneous network: A comprehensive comparative analysis DOI Creative Commons
Ashok Kumar Yadav, Karan Singh, Noreen Izza Arshad

et al.

Results in Engineering, Journal Year: 2024, Volume and Issue: 21, P. 101918 - 101918

Published: Feb. 21, 2024

As radio access technologies, processing speeds, and multimode interfaces of low-powered portable devices continue to advance, the future wireless communication is envisioned offer pervasive network coverage, high data rates, a wide spectrum services while maintaining mobility. High range services, huge connectivity, capacity, good geographic coverage are being provided by ultra-dense deployment small base stations (BSs) in heterogeneous networks (HWN). But dense BSs, mobility, heterogeneity, imbalanced traffic, dynamic user preferences lead frequent handover. Network overhead, excessive energy consumption, decrease service quality satisfaction can be due So, handover management one crucial challenges implementation 5G beyond HWNs for ensuring seamless efficiency, required experiences. The effectiveness decisions relies on suitable selection mechanism. Multi-attribute decision-making (MADM) used model analyze appropriate complexities considering broad intricate conflicting decision criteria efficient HWN. This article extensively explores, compares, analyzes vital MADM techniques utilized modeling strategies terms algorithmic strategies, cardinality, types significance attributes, utilities. also examines, analyzes, recognizes recent mobility trends utilizing tackle issues high-speed HWNs.

Language: Английский

Citations

7
A spherical fuzzy assessment framework for evaluating the challenges to LARG supply chain adoption in pharmaceutical companies DOI
Mahyar Kamali Saraji, Ehsan Rahbar, Ali Ghorbani Chenarlogh

et al.

Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 409, P. 137260 - 137260

Published: April 20, 2023

Language: Английский

Citations

14
Advancing 6G-IoT networks: Willow catkin packet transmission scheduling with AI and bayesian game-theoretic approach-based resource allocation. DOI Creative Commons
Ali. M. A. Ibrahim, Zhigang Chen,

Hala A. Eljailany

et al.

Internet of Things, Journal Year: 2024, Volume and Issue: 25, P. 101119 - 101119

Published: Feb. 13, 2024

The rapid expansion of mobile broadband networks and the proliferation Internet Things (IoT) applications have substantially increased data transmission processing demands. However, application domains IoT-enabled models often face resource limitations, requiring responses, low latency, large bandwidth, surpassing their inherent capabilities. To address these challenges, we propose a fishnet approach-based packet scheduling allocation system, termed Fishnet-6G, to optimize network in proposed 6G networks. Initially, constructed Sierpinski Triangle-based IoT environment, enhancing device connectivity. We utilize Quantum Density Peak Clustering (QDPC) algorithm perform clustering for devices, establishing Cluster Head (CH) Substitute CH (SUB CH) based on actual metrics. Furthermore, traffic prediction is achieved through two processes, grouping, fair queue status, using Improved Deep Deterministic Policy Gradient (IMPDDPG) with variable sampling rate, resulting well-organized scheduling. Subsequently, optimal by employing Willow Catkin Optimization (WCO) algorithm, scheduled packets are managed within Fishing Net Topology reduce energy consumption system complexity. Finally, allocate desired blocks Bayesian Game-Theoretic Approach (BGTA). approach implemented Network Simulator-3.26, performance Fishnet-6G model evaluated time, efficiency, average throughput, Packet loss rate. Numerical analysis demonstrates that outperforms existing approaches across metrics, showcasing its effectiveness addressing challenges

Language: Английский

Citations

4
A novel multicriteria assessment framework for evaluating the performance of the EU in dealing with challenges of the low-carbon energy transition: an integrated Fermatean fuzzy approach DOI Creative Commons
Mahyar Kamali Saraji, Dalia Štreimikienė

Sustainable Environment Research, Journal Year: 2024, Volume and Issue: 34(1)

Published: April 5, 2024

Abstract Climate change, global warming, greenhouse gas emissions, and many other reasons have motivated countries worldwide to change energy systems move toward low-carbon systems; however, the transition has faced challenges that motivate present study identify evaluate performance of EU according challenges. To this end, seventeen were identified through a systematic literature review classified into five groups: economic, institutional, technical, social, environmental. Subsequently, fifty-three indicators selected measure in dealing with Furthermore, Fermatean “Stepwise Weight Assessment Ratio Analysis” method was applied determine subjective weight challenges, while based on removal effects criteria objective indicators. Afterward, “Technique for Order Preference by Similarity Ideal Solution” 2015 2020. The results indicated justice, mitigation costs, land use, lack infrastructure are most significant environmental, technical Also, Netherlands had best 2015, followed Germany; contrast, Germany improved its system took first place

Language: Английский

Citations

4
Machine learning based dynamic resource sharing and frequency reuse in 5G HetNets with dronecells DOI
Mert Yağcıoğlu

Computer Networks, Journal Year: 2025, Volume and Issue: unknown, P. 111046 - 111046

Published: Jan. 1, 2025

Language: Английский

Citations

0
An Likelihood Interval-Valued Intuitionistic Fuzzy DNMEREC–MULTIMOORA Method and Its Application in Enterprise Green Technology Investment Decision DOI
Yuanfei Mei, Yuanfei Mei

International Journal of Fuzzy Systems, Journal Year: 2025, Volume and Issue: unknown

Published: March 10, 2025

Language: Английский

Citations

0
Handover algorithm based on Bayesian-optimized LSTM and multi-attribute decision making for heterogeneous networks DOI
Yi Luo, Yinghui Zhang, Chaoyang Du

et al.

Ad Hoc Networks, Journal Year: 2024, Volume and Issue: 157, P. 103454 - 103454

Published: Feb. 17, 2024

Language: Английский

Citations

3
Streamlining apartment provider evaluation: A spherical fuzzy multi-criteria decision-making model DOI Creative Commons
Phi-Hung Nguyen, Thu-Hien Tran, Lan-Anh Thi Nguyen

et al.

Heliyon, Journal Year: 2023, Volume and Issue: 9(12), P. e22353 - e22353

Published: Dec. 1, 2023

In the context of thriving real estate market in developing countries like Vietnam, understanding consumer preferences and effectively addressing them through a comprehensive multi-criteria decision-making (MCDM) framework is paramount for providers. This study presents two-stage MCDM model that integrates Delphi technique Technique Order Preference by Similarity to Ideal Solution (TOPSIS) based on Spherical Fuzzy Sets (SFSs). Initially, SF-Delphi validates critical criteria influencing customers' apartment selection Vietnam. Secondly, SF-TOPSIS method evaluates top ten To ensure robustness validity, comparative analysis compares results with those from Intuitionistic TOPSIS (IF-TOPSIS) (F-TOPSIS) methods. Subsequently, five rank correlation coefficients (Spearman, Kendall, Goodman-Kruskal, Weighted measure correlation, Similarity) are used assess relationships between various techniques applied suppliers The demonstrate strong agreement among methods, smallest coefficient being 0.7778, surpassing threshold 0.7. high level consistency confirms efficacy proposed approach different reliably evaluating suppliers. Notably, legal aspect's prominence underscores its role shaping customer choices, emphasizing significance considering factors supply demand Furthermore, using SFSs makes this particularly suited capture perceptions within dynamic uncertain business environment characterized volatility, uncertainty, complexity, ambiguity (VUCA).

Language: Английский

Citations

5