DocumentCode :
1251061
Title :
Ant Colony Optimization Based Energy Saving Routing for Energy-Efficient Networks
Author :
Kim, Young-Min ; Lee, Eun-Jung ; Park, Hong-Shik
Author_Institution :
Korea Adv. Inst. of Sci. & Tech nology (KAIST), Daejeon, South Korea
Volume :
15
Issue :
7
fYear :
2011
fDate :
7/1/2011 12:00:00 AM
Firstpage :
779
Lastpage :
781
Abstract :
This letter proposes an ant colony optimization (ACO) based energy saving routing, referred to as A-ESR, for energy efficient networks. The proposed A-ESR algorithm firstly re-formulates the energy-consumption minimized network (EMN) problem, which is NP-complete, into a simpler one by using the concept of traffic centrality. After that, it solves the re-formulated problem by 1) letting the flow to autonomously be aggregated on some specific heavy-loaded links and 2) switching off the other light-loaded links. Simulation results show that the A-ESR algorithm can get better performance than previous works in terms of energy efficiency.
Keywords :
computational complexity; energy conservation; optimisation; telecommunication network routing; NP-complete; ant colony optimization; energy saving routing; energy-consumption minimized network; energy-efficient networks; traffic centrality; Ant colony optimization; Current measurement; Delay; Energy consumption; Network topology; Routing; Switches; A-ESR; Ant colony optimization; energy saving routing; pheromone trails; traffic centrality;
fLanguage :
English
Journal_Title :
Communications Letters, IEEE
Publisher :
ieee
ISSN :
1089-7798
Type :
jour
DOI :
10.1109/LCOMM.2011.060811.110881
Filename :
5910099
Link To Document :
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