ICTACT Journal on Communication Technology

Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

The Fuzzy Logical Controller Based Energy Storage and Conservation Model to Achieve Maximum Energy Efficiency in Modern 5g Communication


Affiliations
1 Department of Electronics and communication Engineering, Muthayam Engineering College, India
2 Department of Information Technology, K.L.N. College of Engineering, Madurai, Tamil Nadu, India
3 Department of Electronics and communication Engineering, Sri Eshwar College of Engineering, India
     

   Subscribe/Renew Journal


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
Subscription Login to verify subscription
User
Notifications
Font Size

  • T.T. Teo, T. Logenthiran and K. Abidi, “Fuzzy Logic Control of Energy Storage System in Microgrid Operation”, Proceedings of International Conference on IEEE Innovative Smart Grid Technologies, pp. 65-70, 2016.

  • C. Pan and X. Xu, “The Analysis of Series Hybrid Energy Storage System for Regenerative Braking based on Energy Constraint Control aimed at Deceleration”, CSEE Journal of Power and Energy Systems, Vol. 2022, pp. 1-14, 2022.

  • M. Michalczuk and L.M. Grzesiak, “Fuzzy Logic based Power Management Strategy using Topographic Data for an Electric Vehicle with a Battery-Ultracapacitor Energy Storage”, The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, Vol. 56, No. 2, pp. 1-14, 2015.

  • S.A. Syed, K. Sheela Sobana Rani and V.P. Sundramurthy, “Design of Resources Allocation in 6G Cybertwin Technology using the Fuzzy Neuro Model in Healthcare Systems”, Journal of Healthcare Engineering, Vol. 2022, pp. 1-8,2022.

  • A.S. Nandhini and P. Vivekanandan, “A Survey on Energy Efficient Routing Protocols for MANET”, International Journal of Advances in Engineering and Technology, Vol. 6, No. 1, pp. 370-387, 2013.

  • N. Sockeel, B. Papari and M. Mazzola, “Virtual Inertia Emulator-Based Model Predictive Control for Grid Frequency Regulation considering High Penetration of Inverter-Based Energy Storage System”, IEEE Transactions on Sustainable Energy, Vol. 11, No. 4, pp. 2932-2939, 2020.

  • J. Gowrishankar, P.S. Kumar and T. Narmadha, “A Trust Based Protocol for Manets in IoT Environment”, International Journal of Advanced Science and Technology, Vol. 29, No. 7, pp. 2770-2775, 2020.

  • G. Ramesh, V. Aravindarajan and Feny Thachil, “Eliminate the Interference in 5G Ultra-Wide Band Communication Antennas in Cloud Computing Networks”, ICTACT Journal on Microelectronics, Vol. 8, No. 2, pp. 1338-1344, 2022.

  • M.J. Rex, T. Kiruthiga and V.A. Rajan, “FPSMM: Fuzzy Probabilistic Based Semi Morkov Model among the Sensor Nodes for Realtime Applications”, Proceedings of International Conference on Intelligent Sustainable Systems, pp. 442-446,2017.

  • S. Kannan and G. Dhiman, “Task Scheduling in Cloud using ACO”, Recent Advances in Computer Science and Communications, Vol. 15, No. 3, pp. 348-353, 2022.

  • B. Gopi, J. Gowri and T. Kiruthiga, “The Moment Probability and Impacts Monitoring for Electron Cloud Behavior of Electronic Computers by using Quantum Deep Learning Model”, NeuroQuantology, Vol. 20, No. 8, pp. 6088-6100, 2022.

  • T. Karthikeyan and K. Praghash, “Improved Authentication in Secured Multicast Wireless Sensor Network (MWSN) using Opposition Frog Leaping Algorithm to Resist Man-in-Middle Attack”, Wireless Personal Communications, Vol. 123, No. 2, pp. 1715-1731, 2022.

  • T. Karthikeyan, “Improved Privacy Preservation Framework for Cloud-Based Internet of Things”, CRC Press, 2020.

  • S.B. Sangeetha, R. Sabitha and B. Dhiyanesh, “Resource Management Framework using Deep Neural Networks in Multi-Cloud Environment”, Springer, 2022.


Abstract Views: 137

PDF Views: 1




  • The Fuzzy Logical Controller Based Energy Storage and Conservation Model to Achieve Maximum Energy Efficiency in Modern 5g Communication

Abstract Views: 137  |  PDF Views: 1

Authors

B. Gopi
Department of Electronics and communication Engineering, Muthayam Engineering College, India
G. Ramesh
Department of Information Technology, K.L.N. College of Engineering, Madurai, Tamil Nadu, India
J. Logeshwaran
Department of Electronics and communication Engineering, Sri Eshwar College of Engineering, India

Abstract


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

References