Abstract
Energy-aware lightpath routing and establishment in optical backbone networks can reduce energy consumption. A heuristic method suitable for network's Planning phase, based on Swarm Intelligence and Grooming practices is proposed that reduces the energy footprint by taking advantage of asymmetric bandwidth split across multiple streams routed to the same destination through different paths. The Ant System metaheuris-tic is being utilized for finding the most energy-efficient routes from source node to destination per traffic request. Performance improvement concerning energy dissipation was achieved against competing heuristics and is depicted via simulation results.
Original language | English |
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Title of host publication | 2014 6th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT 2014) |
Editors | Yevgeni Koucheryavy, Sergey Makarov |
Place of Publication | Piscataway NJ USA |
Publisher | IEEE, Institute of Electrical and Electronics Engineers |
Pages | 15-22 |
Number of pages | 8 |
ISBN (Electronic) | 9781479952915, 9781479952908 |
ISBN (Print) | 9781479952922 |
DOIs | |
Publication status | Published - 2015 |
Externally published | Yes |
Event | International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT) 2014 - St. Petersburg, Russian Federation Duration: 6 Oct 2014 → 8 Oct 2014 Conference number: 6th |
Publication series
Name | International Congress on Ultra Modern Telecommunications and Control Systems and Workshops |
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Publisher | IEEE, Institute of Electrical and Electronics Engineers |
ISSN (Print) | 2157-0221 |
ISSN (Electronic) | 2157-023X |
Conference
Conference | International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT) 2014 |
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Abbreviated title | ICUMT 2014 |
Country/Territory | Russian Federation |
City | St. Petersburg |
Period | 6/10/14 → 8/10/14 |
Keywords
- aco
- ant colony optimization
- energy efficiency
- grooming
- heuristics
- lightpath establishment
- optical networks