Energy-Efficient Handover Algorithm for Sustainable Mobile Networks: Balancing Connectivity and Power Consumption DOI Creative Commons

Radhwan M. Abdullah,

Ibrahim Al-Surmi,

Gamil R. S. Qaid

et al.

Journal of Sensor and Actuator Networks, Journal Year: 2024, Volume and Issue: 13(5), P. 51 - 51

Published: Sept. 2, 2024

In the era of pervasive mobile and heterogeneous networks, maintaining seamless connectivity during handover events while minimizing energy consumption is paramount. Traditional mechanisms prioritize metrics such as signal strength, user mobility, network load, often neglecting critical aspect consumption. This study presents a novel approach to decision-making in networks by incorporating energy-related metrics, battery level, rate, environmental context, make informed decisions that balance quality efficiency. Unlike traditional methods primarily focus on strength our addresses need for efficiency, particularly high-mobility scenarios. innovative framework not only enhances but also significantly improves power management, offering more sustainable solution modern networks. Through extensive simulations, we demonstrate effectiveness proposed reducing usage without compromising performance. The results reveal significant improvements savings devices, especially under scenarios varying conditions. By prioritizing energy-efficient handovers, extends life devices contributes overall sustainability paper underscores importance into sets stage future research energy-aware management.

Language: Английский

Cost-effective intelligent building: Energy management system using machine learning and multi-criteria decision support DOI
Hong Cai, Wanhao Zhang,

Qiong Yuan

et al.

Energy Economics, Journal Year: 2025, Volume and Issue: unknown, P. 108184 - 108184

Published: Jan. 1, 2025

Language: Английский

Citations

2
Accelerating Benders Decomposition for sustainable food closed-loop supply chain network under uncertainty: a case study DOI
Ali Heidari, Mohammad Khalilzadeh, Dragan Pamučar

et al.

Kybernetes, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 15, 2025

Purpose The purpose of this study was to address waste management in the food supply chain (FSC) through integration inspection processes production and distribution centers under uncertain conditions, aiming enhance sustainability across environmental, economic social dimensions. introduces a sustainable forward reverse FSC network using closed-loop approach prevent transfer spoiled products, ultimately providing competitive advantages stakeholders. Design/methodology/approach A robust multi-objective mathematical programming model is proposed, incorporating manage perishable products effectively. solved Augmented Epsilon Constraint technique implemented GAMS software, Pareto-optimal solutions tailored decision-makers’ preferences. Furthermore, methodology applied real-world case with Benders Decomposition algorithm validate its practicality effectiveness. Findings proposed effectively minimizes enhances by optimizing decision-making uncertainty. illustrative examples real demonstrate efficiency solution approach, highlighting significant role improving all three dimensions sustainability. Practical implications offers valuable insights into tools for industry managers make informed strategic tactical decisions. By addressing advanced modeling, research helps organizations reduce costs, improve gain edge market. Originality/value This novel focus on integrating uncertainty modeling. It contributes existing literature demonstrating impact FSCs practical implementation.

Language: Английский

Citations

0
Optimization of blood supply network through a perturbed forward-backward method DOI Open Access
Sani Salisu, Poom Kumam, Kanokwan Sitthithakerngkiet

et al.

Journal of Industrial and Management Optimization, Journal Year: 2025, Volume and Issue: 21(5), P. 3691 - 3720

Published: Jan. 1, 2025

Blood supply chain management is critical to healthcare systems, requiring efficient and reliable operational strategies meet fluctuating demand ensure patient safety. Despite extensive research, existing models often face challenges in scalability, adaptability, solving complex variational inequality problems inherent network optimization. This paper proposes a perturbed forward-backward method approximate solutions for generalized blood Our contributions include establishing convergence properties of the proposed method, deriving error bounds, introducing block algorithm that facilitates decomposed scalable approach. Empirical findings illustrate efficacy methods through experiments on realistic model with two collection points, storage processing centers, distribution three points. The results highlight broad applicability our algorithms within real Hilbert spaces, making them adaptable various optimization problems. work underscores potential enhance decision-making efficiency chains other domains.

Language: Английский

Citations

0
Energy-Efficient Handover Algorithm for Sustainable Mobile Networks: Balancing Connectivity and Power Consumption DOI Creative Commons

Radhwan M. Abdullah,

Ibrahim Al-Surmi,

Gamil R. S. Qaid

et al.

Journal of Sensor and Actuator Networks, Journal Year: 2024, Volume and Issue: 13(5), P. 51 - 51

Published: Sept. 2, 2024

In the era of pervasive mobile and heterogeneous networks, maintaining seamless connectivity during handover events while minimizing energy consumption is paramount. Traditional mechanisms prioritize metrics such as signal strength, user mobility, network load, often neglecting critical aspect consumption. This study presents a novel approach to decision-making in networks by incorporating energy-related metrics, battery level, rate, environmental context, make informed decisions that balance quality efficiency. Unlike traditional methods primarily focus on strength our addresses need for efficiency, particularly high-mobility scenarios. innovative framework not only enhances but also significantly improves power management, offering more sustainable solution modern networks. Through extensive simulations, we demonstrate effectiveness proposed reducing usage without compromising performance. The results reveal significant improvements savings devices, especially under scenarios varying conditions. By prioritizing energy-efficient handovers, extends life devices contributes overall sustainability paper underscores importance into sets stage future research energy-aware management.

Language: Английский

Citations

0