DocumentCode :
685866
Title :
A green intelligent unicast routing algorithm
Author :
Jinhong Zhang ; Xingwei Wang ; Min Huang
Author_Institution :
Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
fYear :
2013
fDate :
17-19 Nov. 2013
Firstpage :
144
Lastpage :
148
Abstract :
For the past years, the energy overconsumption problems, arising from the rapid growth of Internet scale and services types, are becoming more and more serious. In this context, the Information and Communication Technology (ICT) sector has given an extensive concern to the research on green networking. From an energy-saving point of view for Internet, this paper designs a power consumption model and a QoS model for unicast. Furthermore, this paper proposes a unicast routing algorithm based on Chandy-Misra algorithm and Q-learning algorithm for green Internet, which is compared with an ant colony algorithm based self-adaptive energy saving routing with respect to power consumption, the success rate of routing and running time. Results show the intelligent unicast routing algorithm proposed can effectively reduce network energy consumption, while guaranteeing the good performance.
Keywords :
Internet; ant colony optimisation; power consumption; quality of service; telecommunication network routing; telecommunication power management; Chandy-Misra algorithm; ICT sector; Information and Communication Technology; Q-learning algorithm; QoS model; ant colony algorithm; energy overconsumption problems; green Internet; green intelligent unicast routing algorithm; green networking; network energy consumption; power consumption model; self-adaptive energy saving routing; Delays; Green products; Internet; Power demand; Quality of service; Routing; Unicast; Chandy-Misra algorithm; Energy saving; Green Internet; Q-learning algorithm; Unicast routing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Broadband Network & Multimedia Technology (IC-BNMT), 2013 5th IEEE International Conference on
Conference_Location :
Guilin
Type :
conf
DOI :
10.1109/ICBNMT.2013.6823932
Filename :
6823932
Link To Document :
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