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Logeshwaran, J.
- The Role Of Integrated Structured Cabling System (ISCS) For Reliable Bandwidth Optimization In High-speed Communication Network
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Authors
Affiliations
1 Department of Electronics and Communication Engineering, Sri Eshwar College of Engineering, IN
2 Department of Computer Science and Engineering, HKBK College of Engineering, IN
3 Department of Electronics and Communication Engineering, Vetri Vinayaha College of Engineering and Technology, IN
4 Department of Automation Control and Robotics, Sheffield Hallam University, GB
1 Department of Electronics and Communication Engineering, Sri Eshwar College of Engineering, IN
2 Department of Computer Science and Engineering, HKBK College of Engineering, IN
3 Department of Electronics and Communication Engineering, Vetri Vinayaha College of Engineering and Technology, IN
4 Department of Automation Control and Robotics, Sheffield Hallam University, GB
Source
ICTACT Journal on Communication Technology, Vol 13, No 1 (2022), Pagination: 2635-2639Abstract
In modern companies, the functions of divisions, departments and staff are provided by telecommunication transmitting analog and digital unit information via SCS. Such cable system refers to the use of copper or optical cable networks, passive and active switching devices. Structured cabling system or abbreviated SCS is a complex set of cable trunks and switching equipment that provide the transfer of various types of media data (audio, video, computer data) and is the basis for the operation and integration of telephone, local computer networks, security systems and other services. Many modern systems of security or communications today integrate a wide variety of interfaces into their arsenal, greatly expanding their capabilities and performance. In this paper a smart model based on high-speed communication network with the help of structured cabling system (SCS). Here the speed and bandwidth play the major role. The proposed system focused the highspeed communication between sender and receiver with some higher bandwidth optimization.Keywords
Optical Cable Network, Switching Device, Structured Cabling System, Communication Network, Security SystemReferences
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- 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. 1-9, 2022.
- Y. Wang, K. Wang, H. Huang, T. Miyazaki and S. Guo, “Traffic and Computation Co-Offloading with Reinforcement Learning in Fog Computing for Industrial Applications”, IEEE Transactions on Industrial Informatics, Vol. 15, No. 2, pp. 976-986, 2019.
- G. Dhiman, A.V. Kumar, R. Nirmalan and K. Srihari, “Multi-Modal Active Learning with Deep Reinforcement Learning for Target Feature Extraction in Multi-Media Image Processing Applications”, Multimedia Tools and Applications, Vol. 2022, pp. 1-25, 2022.
- L. Huang, X. Feng, C. Zhang, L. Qian and Y. Wu, ‘Deep Reinforcement Learning-Based Joint Task Offloading and Bandwidth Allocation for Multiuser Mobile Edge Computing”, Digital Communications and Networks, Vol. 5, No. 1, pp. 10-17, 2019.
- S. Hannah, A.J. Deepa, V.S. Chooralil and S. Brilly Sangeetha, “Blockchain-Based Deep Learning to Process IoT Data Acquisition in Cognitive Data”, BioMed Research International, Vol. 2022, pp. 1-7, 2022.
- L. Ze, C. Lijie and R. Bo, “Study on the Virtual Simulation Training System for SCS Maintenance”, Proceedings of International Conference on Virtual Reality and Intelligent Systems, pp. 143-146, 2020.
- J. Logeshwaran and R.N. Shanmugasundaram, “Enhancements of Resource Management for Device to Device (D2D) Communication: A Review”, Proceedings of 3 rd International Conference on IoT in Social, Mobile, Analytics and Cloud, pp. 51-55, 2019.
- K. Praghash and T. Karthikeyan, “Data Privacy Preservation and Trade-off Balance Between Privacy and Utility using Deep Adaptive Clustering and Elliptic Curve Digital Signature Algorithm”, Wireless Personal Communications, Vol. 89, pp. 1-16, 2021.
- N. Arivazhagan, K. Somasundaram, D. Vijendra Babu and V. Prabhu Sundramurthy, “Cloud-Internet of Health Things (IOHT) Task Scheduling using Hybrid Moth Flame Optimization with Deep Neural Network Algorithm for E Healthcare Systems”, Scientific Programming, Vol. 2022, pp. 1-8, 2022.
- K. Praghash and T. Karthikeyan, “Binary Flower Pollination (BFP) Approach to Handle the Dynamic Networking Conditions to Deliver Uninterrupted Connectivity”, Wireless Personal Communications, Vol. 82, No. 4, pp. 3383-3402, 2021.
- The Fuzzy Logical Controller Based Energy Storage and Conservation Model to Achieve Maximum Energy Efficiency in Modern 5g Communication
Abstract Views :73 |
PDF Views:1
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 ControllerReferences
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- 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.
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- 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.