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Gopi, B.
- The Fuzzy Logical Controller Based Energy Storage and Conservation Model to Achieve Maximum Energy Efficiency in Modern 5g Communication
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Authors
Affiliations
1 Department of Electronics and communication Engineering, Muthayam Engineering College, IN
2 Department of Information Technology, K.L.N. College of Engineering, Madurai, Tamil Nadu, IN
3 Department of Electronics and communication Engineering, Sri Eshwar College of Engineering, IN
1 Department of Electronics and communication Engineering, Muthayam Engineering College, IN
2 Department of Information Technology, K.L.N. College of Engineering, Madurai, Tamil Nadu, IN
3 Department of Electronics and communication Engineering, Sri Eshwar College of Engineering, IN
Source
ICTACT Journal on Communication Technology, Vol 13, No 3 (2022), Pagination: 2774-2779Abstract
Energy conservation and energy efficiency for smart antenna design is the reduction of energy consumption per unit of service or product in 5G Communication without reducing production quality and quantity. Efficient use of energy is important in many ways. First, fossil fuels such as oil and coal, which are important sources of energy, are depleting. Greenhouse gas emissions released into the atmosphere during energy production and consumption processes are major causes of climate change and global warming. In this paper, a smart energy storage and conservation model based on fuzzy logical controller was proposed to achieve maximum energy efficiency for smart antenna design in modern 5G Communication. For the initial level the proposed model regularly monitor the energy levels of different industrial components and then allot the energy as per the requirement of the components. If there any excess allocation required, then the proper requirement will request by the operator. Once the request is valid, the requirements will allocate to the components. The biggest factor that provides energy efficiency for smart antenna design is thermal insulation. Consuming less fuel means releasing less harmful gas into the atmosphere.Keywords
Energy, Conservation, Efficiency, Consumption, Fossil Fuels, Industry, Greenhouse, Fuzzy Logical Controller
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