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

Exploring Simple Addictive Weighting (SAW) for Decision-Making DOI Open Access

I'tishom Al Khoiry,

Dhea Rizky Amelia

INOVTEK Polbeng - Seri Informatika, Journal Year: 2023, Volume and Issue: 8(2), P. 281 - 281

Published: Nov. 17, 2023

The Simple Additive Weighting (SAW) method is a well-known and widely utilized approach for decision-making in various disciplines. SAW involves step-by-step process that enables decision-makers to evaluate rank alternatives based on their respective attribute values assigned weights. Within this context, paper aims provide comprehensive exploration of decision-making. This study demonstrates the utilization supplier selection, which streamline optimize supply chain management organizational business.The resultsderived from have revealed its practicality, effectiveness, adaptability handling multi-criteria decision problems, by examining principles, advantages, limitations, application real situations. It's important note method's reliance accurate weight assignment criteria poses challenge. can be subjective intricate, especially when faced with conflicting objectives. However, stands as valuable addition decision-maker's toolkit, providing structured transparent framework making well-informed choices amidst complexity.

Language: Английский

Citations

4
Şehir Hastanelerinin Kapasite Performansının MEREC ve MAIRCA Yöntemleri ile Değerlendirilmesi DOI
Cennet Turanboy, Burak Sarıkaya, Talip Arsu

et al.

İşletme, Journal Year: 2024, Volume and Issue: 5(1), P. 81 - 103

Published: March 20, 2024

Sağlık Sektörü son yıllarda yaşanan salgın hastalıklar, nüfusun artışı ve yaşlanması gibi sebeplerle büyük bir önem kazanmıştır. ihtiyacı günden güne artan şehirlerin sağlık yükünün kısmını kaldıracağı düşüncesiyle Kamu-Özel Ortaklığı (KÖO) ile kurulan şehir hastaneleri sektörünün en kuruluşları haline gelmektedir. Buradan hareketle bu çalışmanın amacı hastanelerinin kapasite performansının MEREC tabanlı MAIRCA yöntemi değerlendirilmesi olarak belirlenmiştir. Bu çalışma yapı taşı konumundaki kapasitelerinin yeterliliğini incelemesi açısından önemlidir. Örneklem Türkiye’de faaliyetlerine devam eden 22 hastanesi seçilmiştir. Kriter ağırlıklarının belirlendiği sonucuna göre önemli kriterleri sırasıyla “Poliklinik Sayısı”, “Ameliyathane “Araç Otoparkı “Yoğun Bakım Yatak Sayısı” “Yatak bulunmuştur. sonucunda ulaşılan ağırlıkların kullanıldığı yüksek performansına sahip “Ankara-Etlik”, “Ankara-Bilkent”, “İstanbul-Başakşehir Çam Sakura” “İzmir-Bayraklı”, düşük ise “Isparta”, “Tekirdağ İsmail Fehmi Cumalıoğlu”, “Manisa” “Yozgat” hastaneleridir.

Citations

1
A TOPSIS Framework for Supplier Selection Problem DOI Open Access
Ika Menarianti,

I'tishom Al Khoiry,

Chadyan Fathurachman

et al.

INOVTEK Polbeng - Seri Informatika, Journal Year: 2024, Volume and Issue: 9(1)

Published: June 16, 2024

The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) stands as a widely recognized and extensively utilized method addressing the complexities supplier selection across diverse industries. Acknowledged its systematic framework, TOPSIS serves valuable aid decision-makers in meticulously evaluating ranking potential suppliers, taking into account variety criteria. This paper provides exploration framework field selection, aiming empower with insights effectively utilize strategic tool. objective is facilitate informed optimal selections. findings can contribute both theoretical understanding practical guidance, emphasizing significance decision-making.

Language: Английский

Citations

1
A novel neutrosophic cubic MADM method based on Aczel-Alsina operator and MEREC and its application for supplier selection DOI
Shanshan Zhai, Jianping Fan,

Lin Liu

et al.

Journal of Intelligent & Fuzzy Systems, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 22

Published: March 16, 2024

Neutrosophic cubic set (NCS) can process complex information by choosing both interval value and single membership indeterminacy falsehood components. The aggregation operators based on Aczel-Alsina t-norm t-corm are quite effective for evaluating the interrelationship among attributes. purpose of this paper is to diagnose attributes with neutrosophic information, propose a multi-attribute decision-making(MADM) method supplier selection problem unknown weight under environment. We defined (NC-AA) operator Aczel–Alsina weighted arithmetic average (NCAAWAA) operator, then we discussed various important results some properties proposed operators. Additionally, MADM presence NC-AAWAA operator. When weights unknown, use MEREC determine weights. Later, applied address problem. Finally, sensitivity analysis comparative conducted illustrate stability superiority method. show handle more effectively, removal effect attribute.

Language: Английский

Citations

0
A modified TOPSIS method with rationality and consistency in ranking decision DOI Open Access
Gang Li, Fang Zhao,

L. Yan

et al.

Authorea (Authorea), Journal Year: 2024, Volume and Issue: unknown

Published: May 22, 2024

Technique for order preference by similarity to ideal solution (TOPSIS) is a popular approach in multiple attribute decision-making. It ranks estimating the separations between alternatives and positive (PIS) as well negative (NIS). When setting ranking rules, there are three limitations TOPSIS. First, controversy surrounding addition of indicators denominator index, these measurements represent opposite aspects. Second, index also irrespective relative magnitudes distances from PIS NIS, resulting incomparable situations. Third, results derived PIS, closeness inconsistent. To address limitations, this paper first analyzes inconsistency through spatial partition diagram, that helps access possible under different indexes. Then, we define strong, weak, no priority relationships based on differences making comparability enhanced. For further incorporating their ranking, generate relationship matrix one alternative all other alternatives, devise new, rational non-additivity debate. Simulations numerical example real-life case conducted demonstrate rationality superiority modified

Language: Английский

Citations

0
Game theory approaches for Radio Access Technology Selection Algorithm: A Review DOI

Folashade Ariba,

Zacheeus Adeyemo,

Festus Kehinde Ojo

et al.

Published: April 2, 2024

Language: Английский

Citations

0
Impact of number and type of criteria on ranking abnormality in MCDM techniques DOI
Ashok Kumar Yadav, Karan Singh

Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 77 - 86

Published: Oct. 1, 2024

Language: Английский

Citations

0
Intelligent Seamless Handover in Next-Generation Networks DOI
Mohammed Al-Khalidi, Rabab Al-Zaidi, Nikolaos Thomos

et al.

IEEE Transactions on Consumer Electronics, Journal Year: 2023, Volume and Issue: 70(1), P. 1566 - 1579

Published: Dec. 7, 2023

Providing high quality of service (QoS) to mobile end-users, and guaranteeing resilient connectivity for healthcare wearables other devices is a critical component Industry 5.0.However, one the biggest difficulties that network operators encounter issue mobility handover, as it can be detrimental end-users' safety experience.Although various handover mechanisms have been developed meet QoS, achieving optimum performance while maintaining sustainable operation still an unreached goal.In this paper, random linear codes (RLC) are used achieve seamless where traffic encoded using RLC then multicasted destination(s) prediction algorithm destination selection.To overcome limitations current IP core networks, we make use revolutionary IP-over-Information-Centric Network architecture at supports highly flexible multicast switching.The combination RLC, multicast, prediction, makes communication packet loss helps avoid failures existing solutions reducing overall delivery cost, hence offering support.The proposed scheme evaluated realistic vehicular dataset cellular infrastructure compared with Fast Handover Proxy Mobile IPv6 (PFMIPv6).The results show our efficiently session continuity in environments, total cost by 44% its counterpart PFMIPv6, delay 26% failure less than 2% handovers.

Language: Английский

Citations

1
Location and User Association Optimization in Multiple Radio Access UAV-Assisted Heterogeneous IoT Networks DOI Creative Commons
M. G. Anany, Mahmoud M. Elmesalawy,

Ibrahim I. Ibrahim

et al.

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 59273 - 59288

Published: Jan. 1, 2024

Recently, the huge growth in multimedia demand derived from smart devices and Internet of Things (IoT) development requires efficient heterogeneous networks with high data rates. To fulfill these requirements, exploitation Unmanned Aerial Vehicles (UAVs) enabled multiple radio access for providing connectivity should be considered, since it offers flexibility, ease deployment, on-demand service wireless devices. In this paper, idea deploying Multiple Radio Access Technologies (Multi-RAT) base stations on a UAV is proposed, order to utilize unlicensed spectrum. The problem optimizing Multi-RAT UAV's location along devices' association maximize total system throughput considering LTE WLAN ground network investigated. solve problem, we propose novel framework based reinforcement learning regret matching algorithms, such that Q-learning algorithm used find optimum location, while users' association. Moreover, K-means clustering adopted as an initialization phase speed up convergence proposed solution. Simulation results show significance UAV. Further, performance analysis shows effectiveness by applying phase.

Language: Английский

Citations

0
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

Citations

0