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Volume 41 Issue 5
Apr.  2019
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Huanlin LIU, Fei FANG, Jun HUANG, Yong CHEN, Min XIANG, Yue MA. Energy Efficiency Routing Strategy with Lightpath Impairment Awareness in Service-Oriented Elastic Optical Networks[J]. Journal of Electronics & Information Technology, 2019, 41(5): 1202-1209. doi: 10.11999/JEIT180580
Citation: Huanlin LIU, Fei FANG, Jun HUANG, Yong CHEN, Min XIANG, Yue MA. Energy Efficiency Routing Strategy with Lightpath Impairment Awareness in Service-Oriented Elastic Optical Networks[J]. Journal of Electronics & Information Technology, 2019, 41(5): 1202-1209. doi: 10.11999/JEIT180580

Energy Efficiency Routing Strategy with Lightpath Impairment Awareness in Service-Oriented Elastic Optical Networks

doi: 10.11999/JEIT180580
Funds:  The Project of Science and Technology of State Grid Corporation of China (52010118000Q)
  • Received Date: 2018-06-12
  • Rev Recd Date: 2018-12-11
  • Available Online: 2018-12-17
  • Publish Date: 2019-05-01
  • To address the problems of low spectrum utilization and high energy consumption caused by physical impairment in elastic optical networks, a service differentiated energy efficiency routing strategy with Link Impairment-Aware Spectrum Partition (LI-ASP) is proposed. For reducing the nonlinear impairment between different channels, a path weight formula jointly considering the link spectrum state and transmission impairment is designed to balance the load. A modulation level-layered auxiliary graph is constructed according to traffic’s spectrum efficiency and maximum transmission distance. Starting from the highest modulation in the auxiliary graph, the K link-disjoined maximum weight paths are selected for high quality requests, and the K link-disjoined shortest energy efficiency paths are selected for low quality requests. Then, LI-ASP strategy divides spectrum partition according to requests rate ratio. The First-Fit (FF) and Last-Fit (LF) spectrum allocation policies are used to reduce cross-phase modulation between the requests with different rates. The simulation results show that the proposed LI-ASP strategy can reduce the bandwidth blocking probability and energy consumption effectively.

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