An optimization framework for FiWi access network: Comprehensive solution for green and survivable deployment

Chouhan, Nitin; Bhatt, Uma Rathore; Upadhyay, Raksha

doi:10.1016/j.yofte.2019.102002

Cited by 12 publications

(3 citation statements)

References 17 publications

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“…In ref. [ 50 ], the authors proposed a framework that simultaneously focuses on ensuring the EE and survivability of the FiWi networks using optimization algorithms for ONU placement ( Table 1 ). Several different optimization algorithms were compared in extensive simulations, namely, genetic algorithm, teaching–learning-based optimization, spiral update positioning and encircling prey mechanism.…”

Section: Energy Efficiency Analyses Of Radio-and-fiber Networkmentioning

confidence: 99%

Advances in Improving Energy Efficiency of Fiber–Wireless Access Networks: A Comprehensive Overview

Lörincz

Klarin

Begušić

2023

Sensors

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Due to the growing impact of the information and communications technology (ICT) sector on electricity usage and greenhouse gas emissions, telecommunication networks require new solutions which will enable the improvement of the energy efficiency of networks. Access networks, which are responsible for the last mile of connectivity and also for one of the largest shares in network energy consumption, are viable candidates for the implementation of new protocols, models and methods which will contribute to the reduction of the energy consumption of such networks. Among the different types of access networks, hybrid fiber–wireless (FiWi) networks are a type of network that combines the capacity and reliability of optical networks with the flexibility and availability of wireless networks, and as such, FiWi networks have begun to be extensively used in modern access networks. However, due to the advent of high-bandwidth applications and Internet of Things networks, the increased energy consumption of FiWi networks has become one of the most concerning challenges required to be addressed. This paper provides a comprehensive overview of the progress in approaches for improving the energy efficiency (EE) of different types of FiWi networks, which include the radio-and-fiber (R&F) networks, the radio-over-fiber networks (RoF), the FiWi networks based on multi-access edge computing (MEC) and the software-defined network (SDN)-based FiWi networks. It also discusses future directions for improving the EE in the FiWi networks.

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Section: Energy Efficiency Analyses Of Radio-and-fiber Networkmentioning

confidence: 99%

Advances in Improving Energy Efficiency of Fiber–Wireless Access Networks: A Comprehensive Overview

Lörincz

Klarin

Begušić

2023

Sensors

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“…Chouhan et al 28 presented an optimization framework as a complete solution for the deployment of a green and resilient FiWi network. The position of ONUs is optimized in the network using various optimization techniques, including a GA, a teaching learning‐based optimization strategy, and a whale optimization algorithm (encircling prey and spiral update positioning).…”

Section: Literature Surveymentioning

confidence: 99%

“…From the analysis, it is noted that 19 has an ECMCC problem and the worst‐case playback delay has occurred in Reference 20. Reference21 reduce throughput, and reduce network performance, 3 not work on joint energy resource allocation, 22 rely on the offloading option, 23 do not take into account the diverse user, 24 not support the selective retransmission and 25 must focus on energy‐efficient EC mechanism designs, 26 must enhance latency calculations, 27 energy efficiency is reduced due to low precision in References 28,29 sensing probability must be improved.…”

Section: Literature Surveymentioning

confidence: 99%

CSAT‐FRMET: An energy‐efficient hybrid FiWi network‐based 5G model

Kali Raman,

Saini

2023

Trans Emerging Tel Tech

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Hybrid fiber wireless (FiWi) access networks seek to combine the vast amount of bandwidth that is available for optical networks and wireless network mobility; hence, it favors larger bandwidth request but cause the highly nonlinear lagrangian dual problem that decrease energy‐efficient network resilience. Hence, a novel Ceplato‐SAT3 model has been proposed in which the SAT3 algorithm locates the optical network unit (ONU) in an optimal position with high‐speed cost‐efficient placement and weight factor introduced into the position update to improve the exploitation and exploration capability of the algorithm. To prioritize the large bandwidth request during resource allocation, gradient priority justifier requests (GPJR) has been utilized and a novel messaging technique termed flow‐random‐message‐exchanger‐topology (FRMET) provides the index for these prioritized requests depending on QoS parameters such as notification control, reflective QoS attribute (RQA), flow bit rates and maximum packet loss rate thereby decreasing the overhead and eliminate nonlinear langrage dualand perform O2U scheduling to reduce network resilience however synchronization between different ONU clocks may cause upstream data fatal crash at the optical line terminal (OLT). Hence, curl‐trio‐opt control mechanism has been proposed in which the minimization problem is transformed into a joint optimization problem of energy consumption, traffic demand, network requests, and service flow requests by the Lyapunov technique thereby minimizing the upstream data fatal lash. The proposed model has been implemented in Python and the output obtained showed better performance in terms of ONU arrangement, throughput, energy consumption, computation, latency, and error.

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Reduction in Average Distance Cost by Optimizing Position of ONUs in FiWi Access Network using Grey Wolf Optimization Algorithm

Chouhan

Bhatt

Upadhyay

2021

Lecture Notes in Electrical Engineering

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An optimization framework for FiWi access network: Comprehensive solution for green and survivable deployment

Cited by 12 publications

References 17 publications

Advances in Improving Energy Efficiency of Fiber–Wireless Access Networks: A Comprehensive Overview

Advances in Improving Energy Efficiency of Fiber–Wireless Access Networks: A Comprehensive Overview

CSAT‐FRMET: An energy‐efficient hybrid FiWi network‐based 5G model

Reduction in Average Distance Cost by Optimizing Position of ONUs in FiWi Access Network using Grey Wolf Optimization Algorithm

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