Sustainable Computing Informatics and Systems, Journal Year: 2024, Volume and Issue: unknown, P. 101068 - 101068
Published: Nov. 1, 2024
Language: Английский
The Journal of Supercomputing, Journal Year: 2025, Volume and Issue: 81(2)
Published: Jan. 8, 2025
Language: Английский
Citations
0
Published: March 10, 2025
This systematic review paper provides a comprehensive analysis of recent advancements in energy optimization techniques for Mobile Ad-hoc Networks (MANETs). MANETs play critical role modern communication systems, enabling dynamic and decentralized networking various applications, including disaster recovery, military operations, remote sensing. However, consumption remains significant challenge due to the limited power resources mobile nodes, directly impacting network performance lifespan. In years, such as metaheuristic algorithms, adaptive transmission control, machine learning models have shown remarkable potential addressing these challenges by enhancing efficiency prolonging lifetime. reviews current trends MANETs, trust-aware routing protocols, clustering methods, advanced mobility like Gauss-Markov model. Additionally, it detailed simulation parameters metrics used studies, highlighting their applicability limitations. The also identifies key areas future research, developing lightweight scalable integrating heterogeneous technologies, refining traffic more realistic simulations. concludes summarizing findings emphasizing importance continuous innovation strategies enhance sustainability reliability MANETs. serves valuable resource researchers practitioners, guiding development robust efficient solutions.
Language: Английский
Citations
0
Published: Jan. 1, 2025
Language: Английский
Citations
0
Archives of Computational Methods in Engineering, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 20, 2025
Language: Английский
Citations
0
SN Computer Science, Journal Year: 2025, Volume and Issue: 6(3)
Published: Feb. 24, 2025
Language: Английский
Citations
0
Computers, Journal Year: 2025, Volume and Issue: 14(4), P. 149 - 149
Published: April 16, 2025
In smart homes, heavy reliance on appliance automation has increased, along with the energy demand in developing urban areas, making efficient management an important factor. To address scheduling of appliances under Demand-Side Management, this article explores use heuristic-based optimization techniques (HOTs) homes (SHs) equipped renewable and sustainable resources (RSERs) storage systems (ESSs). The optimal model for minimization peak-to-average ratio (PAR), considering user comfort constraints, is validated by using different techniques, such as Genetic Algorithm (GA), Binary Particle Swarm Optimization (BPSO), Wind-Driven (WDO), Bacterial Foraging (BFO) Modified (GmPSO) algorithm, to minimize electricity costs, PAR, carbon emissions delay discomfort. This research investigates results three real-world scenarios. scenarios demonstrate benefits gradually assembling RSERs ESSs integrating them into SHs employing HOTs. simulation show substantial outcomes, scenario Condition 1, GmPSO decreased from 300 kg 69.23 kg, reducing 76.9%; bill prices were also cut unplanned value 400.00 cents 150 cents, a 62.5% reduction. PAR was unscheduled 4.5 2.2 which reduced 51.1%. 2 showed that 0.5 (unscheduled) 0.2, 60% reduction; costs 500.00 200.00 250.00 reduction GmPSO. 3, where batteries integrated, algorithm emission 158.3 208.3 24%. cost 500 GmPSO, decreasing overall 40%. achieved 57.1% 2.8 1.2.
Language: Английский
Citations
0
IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 176363 - 176388
Published: Jan. 1, 2024
Language: Английский
Citations
1
Sustainable Computing Informatics and Systems, Journal Year: 2024, Volume and Issue: unknown, P. 101068 - 101068
Published: Nov. 1, 2024
Language: Английский
Citations
0