Energy-Aware Resilience Approach for Survivable Optical Network Design with Dedicated Path Protection: A Case Study of Ethio Telecom
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Date
2021-12
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Addis Ababa University
Abstract
Today's optical backbone telecommunication network infrastructures are deployed with redundant resources considering the backup resources for protection to be resilient against link failures and serving a tremendous amount of data transmission. Due to the rapidly increasing traffic demand and the deployed redundant resources, the energy consumption of telecommunication networks is increased. Energy costs contribute significantly to the operational expenditures of telecom network operators and global climate change; energy consumption has become a vital economic interest of network operators today. Recently, the desire for "Green backbone networks" stimulated research efforts to find new solutions to deal with power consumption and sustainability issues.
In this thesis, the energy-efficient resilience approach, which is Energy-Aware Dedicated Path Protection (EADPP) for survivable optical Wavelength Division Multiplexing (WDM) networks, is investigated. The sleep mode and energy-aware routing strategies are taken into account for the energy consumption minimization method with 1:1 dedicated path protection (DPP). The research work proposes and formulated a Mixed Integer Linear Programming (MILP) model to minimize the energy consumption of active network devices while putting idle and redundant backup resources to sleep mode, which takes link utilization and a link disjoint backup path together with other constraints. The proposed model's evaluation is implemented using MATLAB toolbox, taking Ethio telecom Addis Ababa optical backbone network topology as a case study. The result is compared with the energy-unaware model and the other power consumption minimization model. The optimization result shows that the proposed model can achieve up to 35% energy saving.
Additionally, the thesis studied the trade-off between energy consumption and blocking probability and finds the optimal trade-off problems by formulating the multi-objective MILP optimization model. The optimal result shows that it can achieve considerable energy savings with a minor impact on network performance.
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Keywords
Energy-aware, Energy efficient, Resilience, Survivable WDM network, Dedicated Path Protection, QoS, MILP