2009 IEEE 3rd International Symposium on Advanced Networks and Telecommunication Systems (ANTS) 2009
DOI: 10.1109/ants.2009.5409867
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Energy efficiency and CAPEX minimization for backbone network planning: Is there a tradeoff?

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Cited by 23 publications
(23 citation statements)
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“…The rest of the input parameters are as follows: C=10 Gbps; W=8; B=8; 1≤F≤60; R=5,000 km; all MG-OXC/EXC ports have the same power consumption; the power consumption of the MG-OXC/EXC port is 8/80 Watts [17,18] and the power consumption of the EDFA is 8 Watts [12]; and L span = 80 km [12]. We assume that nodes in sleep mode consume negligible amount of power [12].…”
Section: Network Architecturementioning
confidence: 99%
“…The rest of the input parameters are as follows: C=10 Gbps; W=8; B=8; 1≤F≤60; R=5,000 km; all MG-OXC/EXC ports have the same power consumption; the power consumption of the MG-OXC/EXC port is 8/80 Watts [17,18] and the power consumption of the EDFA is 8 Watts [12]; and L span = 80 km [12]. We assume that nodes in sleep mode consume negligible amount of power [12].…”
Section: Network Architecturementioning
confidence: 99%
“…However, the power consumption is still high because hardware devices and network elements use the same power for data transmission regardless of their traffic load. The actual link utilization is below 5% and 30% at an edge link and backbone, respectively [7]- [10]. Therefore, data rate adaptation depending on link utilization is another method that can provide more energy efficient networks.…”
Section: Introductionmentioning
confidence: 99%
“…In [8] the authors focus on two network architectures (IP-over-WDM with gray interfaces and IP-over-opticaltransport-network-over-WDM). The optimization model is not explicitly presented, but the authors explain that the optimal router basic node and the electrical cross connect basic node as well as the degree of the OXC are selected as a result of the optimization.…”
Section: B Ip and Wdm Layers Without Fiber Installationmentioning
confidence: 99%
“…The new population is composed of the Γ individuals of the offspring and by the best Θ − Γ individuals of the old population. Then, the fitness function of the new population is computed (line 7) and the fitness value is compared with the minimum one and eventually stored (lines [8][9][10][11][12][13]. The evolution process is terminated when the fitness function of the best individual of the population has not improved for Δ number of generations (line 4).…”
Section: Genetic Algorithm For Green Designmentioning
confidence: 99%
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