2018
DOI: 10.1016/j.osn.2017.06.002
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An energy efficient cyclic sleep control framework for ITU PONs

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Cited by 17 publications
(10 citation statements)
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“…Moreover, their state transition probabilities are also not accurate and they did not take into account the inactivity of ONU in AS and SLA states. The results of this study also show the inaccuracy of this model as at no traffic load the maximum sojourn of ONU in AS state is only 35% which is not rational and contrast to the simulation results reported in other CSP studies such as references 12,20,21.…”
Section: Introductioncontrasting
confidence: 93%
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“…Moreover, their state transition probabilities are also not accurate and they did not take into account the inactivity of ONU in AS and SLA states. The results of this study also show the inaccuracy of this model as at no traffic load the maximum sojourn of ONU in AS state is only 35% which is not rational and contrast to the simulation results reported in other CSP studies such as references 12,20,21.…”
Section: Introductioncontrasting
confidence: 93%
“…However, this study only considered the Active and AS states. An empirical model based on the queuing theory to configure the CSP has been presented in reference 12 using which the all the CSP parameters can be configured according to the desired average target US and DS delays. However, using this model the ONU sojourn in each state and the expected power consumption cannot be computed.…”
Section: Review Of Closely Related Workmentioning
confidence: 99%
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“…According to Butt et al (2022), an accurate energy consumption model of the CSP operation is essential for analyzing energy efficiency in various traffic scenarios (Traffic aware cyclic sleep-based power consumption models for a passive optical network) [10]. The method is less accurate because it ignores the ONU's inactivity during the sleeping and sleep-conscious stages.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Findings in [10] impart that the utilization of access network equipment is only 15%. However, interestingly, the energy consumption footprint of access network equipment is approximately 70% of the overall energy demand of ICT [11], [12]. As the volume of data traffic grows due to increasing device use and bandwidth-intensive applications, access network energy consumption will only increase over time.…”
Section: Introductionmentioning
confidence: 99%