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Fiber wireless (FiWi) access network: ONU placement and reduction in average communication distance using whale
Uma Rathore Bhatt1, Anita Dhakad1, Nitin Chouhan1
1Department of Electronics &Telecommunication, Institute of Engineering & Technology, Devi Ahilya University, Khandwa Road, Indore 452017, India.
This study introduces a whale optimization algorithm to efficiently place Optical Network Units (ONUs) in Fiber Wireless (FiWi) networks. This method reduces communication distance, optimizing deployment costs and energy efficiency for FiWi networks.
Area of Science:
- Computer Science
- Electrical Engineering
- Telecommunications
Background:
- Rapid growth in Information and Communication Technology (ICT) necessitates advanced internet access solutions.
- Fiber Wireless (FiWi) networks offer a cost-effective solution for high-speed, ubiquitous internet access.
- Key challenges in FiWi networks include Optical Network Unit (ONU) placement and energy conservation.
Purpose of the Study:
- To address the critical issues of ONU placement and energy saving in FiWi networks.
- To propose an optimized ONU placement strategy for enhanced network performance and reduced deployment costs.
- To contribute to the development of energy-efficient green communication technologies.
Main Methods:
- Development and application of a Whale Optimization Algorithm (WOA) for ONU placement.
- Optimization of ONU positions to minimize average communication distance between ONUs and wireless routers.
- Simulation-based performance evaluation with varying numbers of wireless routers.
Main Results:
- The proposed WOA effectively optimizes ONU placement in FiWi networks.
- Significant reduction in the average communication distance between ONUs and their associated wireless routers.
- Demonstrated potential for cost savings and improved network performance through optimized deployment.
Conclusions:
- The Whale Optimization Algorithm presents a viable and effective solution for ONU placement in FiWi networks.
- Optimized ONU placement leads to reduced communication distances, contributing to energy efficiency.
- This approach offers a promising strategy for deploying cost-efficient and energy-saving FiWi networks.
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