Enhancing Reliability and Sustainability of Green Communication in Next-Generation Wireless Systems through Energy Harvesting
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ID: 312906
2024
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Abstract
This research investigates strategies aimed at achieving reliable and environmentally sustainable Transmission in future-oriented wireless frameworks via the integration of energy harvesting technologies. As that demand for wireless connectivity continues to escalate, there is a pressing need to minimize environmental impact. Energy harvesting offers a promising solution by harnessing ambient Natural energy forms like solar, wind, and kinetic to energize wireless infrastructure and devices. The central goal of this investigation is to design robust communication protocols and network architectures specifically designed to operate efficiently on harvested energy. This encompasses the formulation of effective power management techniques, adaptive transmission strategies, and dependable error control mechanisms. These innovations are crucial for maintaining seamless connectivity, even amidst fluctuating energy availability. Methodologically, the research employs simulation models to Measure the performance of wireless networks incorporating energy-harvesting techniques across diverse practical scenarios. Key performance Measures like energy efficiency, reliability, latency, and throughput will be meticulously analyzed to assess the effectiveness of the proposed methodologies. The outcomes of this study are anticipated to significantly advance the field of sustainable wireless communication technologies. By leveraging energy harvesting technologies effectively, the research aims to contribute to the development of greener and more resilient next-generation wireless systems. These systems are poised to meet the burgeoning demands for connectivity while concurrently reducing the overall environmental footprint associated with traditional wireless communication infrastructures.
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| Authors | Mohsin Ikhlaq |
| Journal | Journal of Computing & Biomedical Informatics |
| Year | 2024 |
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| Keywords | Keywords not found |
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