A User Association and Resource Allocation Algorithm for UAV-Assisted Smart Grid DOI Creative Commons
Jianwei Wei, Y LEI, Zhiyi Wen

et al.

Sensors, Journal Year: 2024, Volume and Issue: 24(24), P. 8195 - 8195

Published: Dec. 22, 2024

Recently, massive intelligent applications have emerged for the smart grid (SG), such as inspection and sensing. To support these applications, there been high requirements on wireless communication SG, especially in remote areas. tackle challenges, a UAV-assisted heterogeneous network is proposed this paper where multiple UAVs macro base station collaboratively provide wide range of services. further improve capacity system, joint user association resource allocation algorithm developed to maximize total system throughput. solve problem, matching first subchannel assignment optimization problem. Then, Lagrangian dual method utilized power Finally, extensive simulations show that can effectively increase rate enhance SG.

Language: Английский

Selection of automotive brake friction composites reinforced by agro-waste and natural fiber: An integrated multi-criteria decision-making approach DOI Creative Commons
Tej Singh, Gustavo da Silva Gehlen, Vedant Singh

et al.

Results in Engineering, Journal Year: 2024, Volume and Issue: 22, P. 102030 - 102030

Published: March 16, 2024

The aim of this study is to develop a method for selecting and ranking automotive brake friction composite materials made from agro-waste natural fibers. This achieved by using an integrated multi-criteria decision-making methodology. Consequently, six samples are produced reinforcing rice husk, husk ash, Grewia optiva fiber. These then assessed their frictional properties laboratory-scale tribometer, in accordance with the requirements outlined SAE J2522 standard. selection criteria based on analyzed tribological parameters, which include coefficients, wear, fluctuations fade-recovery performances. CRITIC (criteria importance through intercriteria correlation) was used determine performance evaluation. Based analysis, average coefficient (0.1592), recovery-3 (0.1363), (0.1347), (0.1240) were identified as key criteria. use MARCOS (measurement alternatives according compromise solution) assessment reveals that reinforced ash exhibit most favorable characteristics. validation different tools demonstrates reliability effectiveness proposed approach.

Language: Английский

Citations

12
Migration and Mutation (MeTa) hybrid Trained ANN for Dynamic Spectrum Access in Wireless Body Area Network DOI Creative Commons
Geoffrey Eappen, T. Shankar,

A Rajesh

et al.

Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 103883 - 103883

Published: Jan. 1, 2025

Language: Английский

Citations

1
Revolutionizing connectivity: Unleashing the power of 5G wireless networks enhanced by artificial intelligence for a smarter future DOI Creative Commons

Samuthira Pandi,

Uthayakumar G.S,

D. Aishwarya

et al.

Results in Engineering, Journal Year: 2024, Volume and Issue: 22, P. 102334 - 102334

Published: May 31, 2024

In the context of 5G wireless networks, this paper addresses a crucial concern—data loss in Analog-to-Digital Converters (ADCs) embedded within Multiple Input Output (MIMO) channels, prevalent challenge modern communication systems. Despite integration ADCs MIMO configurations to mitigate issue, their implementation introduces significant complexities. response this, an innovative and efficient approach aimed at enhancing channel estimation The proposed methodology relies on heuristic-based optimization technique prediction framework. framework uses feedback information collected through Cascade Fusion Serial Network (CFSN) analyze receiver-side error ratio estimate coefficients systems transmitter. An attention mechanism is incorporated into model design use Convolutional Neural Networks - Gated Recurrent Units (CNN-GRU) Multi-Scaled Stacked Auto encoder. Parameters Attention CNN-GRU, encoder, CFSN are refined using Whale Optimization method. objective minimize key metrics, including Root Mean Squared Error (RMSE), Bit Rate (BER), (MSE) associated with estimated channel. Experimental evaluations underscore efficacy networks. results demonstrate improved convergence rates, heightened performance, reduced computational costs compared existing methods. This research contributes valuable insights addressing data challenges specific systems, providing pioneering solution that integrates heuristic optimization, advanced neural network architectures, nature-inspired algorithms for parameter tuning.

Language: Английский

Citations

8
An overview of mobility awareness with mobile edge computing over 6G network: Challenges and future research directions DOI Creative Commons
Soule Issa Loutfi, Ibraheem Shayea, Ufuk Türeli

et al.

Results in Engineering, Journal Year: 2024, Volume and Issue: 23, P. 102601 - 102601

Published: July 22, 2024

The evolution of science has given rise to many technologies that have changed the world. upcoming Six-Generation (6G) mobile network indicates a fundamental transformation in wireless technologies, enhancing connectivity and data transmission rates. In this circumstance, Mobile Edge Computing (MEC) is paradigm technology emerges as key major supporter mobility awareness. computing offers improved efficiency for service migration from edge node user. However, management MEC complex challenge seamless handovers between nodes must be efficiently executed ensure uninterrupted devices, demanding intricate coordination low-latency decision-making. To best author's knowledge, there been no comprehensive work on most recent developments awareness using 6G. paper aims present general overview intersection over 6G networks. concept networks comprehensively introduced. This will highlight integration bringing more efficient edge, reducing latency, user experience. Meanwhile, survey discusses augmented reality with applications. applications emphasizes need results providing communication during serving base station target station. study contributes understanding trends enable operation communication. Furthermore, we delve into challenges future research directions networks, underlining complexities potentials integrating computing.

Language: Английский

Citations

8
Decoding rail derailments: Unraveling the weighted factors influencing safety and sustainability using the best-worst method DOI Creative Commons
Kamran Gholamizadeh, Dragan Pamučar, Sarbast Moslem

et al.

Results in Engineering, Journal Year: 2024, Volume and Issue: 23, P. 102539 - 102539

Published: July 9, 2024

The rail network is essential for sustainable transportation, offering various advantages such as reduced greenhouse gas emissions and congestion relief. However, ensuring safety within the crucial its long-term viability public acceptance. Derailment incidents have significant implications safety, efficiency, sustainability. This study employs Best-Worst Method (BWM) to identify weigh parameters affecting derailment incidents. research methodology involved conducting an extensive literature review extract influential parameters, which were subsequently classified. Additionally, a rigorous data collection process was undertaken ensure reliability of findings. BWM then applied, utilizing expertise five carefully selected domain experts who met specific selection criteria based on their experience reputation in field railway safety. expert panel provided valuable insights determine relative importance identified parameters. calculated weights revealed criticality factors fractures lines, illegal width, unauthorized locomotive speed, defects wagon wheels. Conversely, falling cargo train parts, improper load distribution, subsidence line had relatively lesser influence. results this offer information decision-makers stakeholders industry, facilitating resource allocation implementation targeted strategies enhance

Language: Английский

Citations

6
A Comprehensive Step-Wise Survey of Multiple Attribute Decision-Making Mobility Approaches DOI Creative Commons
Felipe S. Dantas Silva, Mathews P. S. Lima, Daniel Corujo

et al.

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 108616 - 108656

Published: Jan. 1, 2024

In the context of next-generation mobile networks, mobility control mechanisms are anticipated to provide infrastructures that can adapt a broad range requirements enforced by heterogeneous devices and applications. A mechanism is central this adaptability handover. During critical phase lifecycle management, an appropriate technique for selecting most suitable Point Attachment (PoA) must be employed ensure maintain optimal connectivity. Among various strategies used tackle handover decision problem, Multiple Attribute Decision-Making (MADM) method one cost-effective, given benefits provided its decision-making approach. Despite popularity, management often employ MADM methods without conducting thorough performance analysis justify One main reasons such referenceless adoptions lack studies could inform researchers, developers, managers, operators about primary differences among available methods. To fill knowledge gap, in paper, we conduct comprehensive review literature on domain decisions. particular, our contribution includes providing detailed summary step-wise mathematical implementation addition discussion quality-oriented domain, thoroughly classifying their characteristics, analyzing strengths limitations. We also compare different categories discuss some open issues research challenges area.

Language: Английский

Citations

0
A User Association and Resource Allocation Algorithm for UAV-Assisted Smart Grid DOI Creative Commons
Jianwei Wei, Y LEI, Zhiyi Wen

et al.

Sensors, Journal Year: 2024, Volume and Issue: 24(24), P. 8195 - 8195

Published: Dec. 22, 2024

Recently, massive intelligent applications have emerged for the smart grid (SG), such as inspection and sensing. To support these applications, there been high requirements on wireless communication SG, especially in remote areas. tackle challenges, a UAV-assisted heterogeneous network is proposed this paper where multiple UAVs macro base station collaboratively provide wide range of services. further improve capacity system, joint user association resource allocation algorithm developed to maximize total system throughput. solve problem, matching first subchannel assignment optimization problem. Then, Lagrangian dual method utilized power Finally, extensive simulations show that can effectively increase rate enhance SG.

Language: Английский

Citations

0