Title :
A prediction-based traffic aggregation scheme for green networking
Author :
Bingyi Guo ; Shengming Jiang ; Quansheng Guan ; Min Zeng ; Xin Ao
Author_Institution :
Sch. of Electron. & Inf. Eng., South China Univ. of Technol., Guangzhou, China
Abstract :
Reduction of energy consumption is becoming a major concern in communication networks, because of its potential economical benefits and environmental impact. In this paper, we propose a prediction-based traffic aggregation scheme to realize energy saving for green networking. By predicting the traffic loads, the scheme aggregates and reroutes the traffic in some nodes to make them idle and then sleep in the next control time interval when the traffic is predicted light. Simulation results demonstrate that the proposed scheme can yield the accuracy of traffic prediction with a small normalized one-step prediction error and significant energy saving corresponding to the traffic loads in a simple network. Meanwhile, the throughput and delay of the network are almost not affected by the scheme.
Keywords :
energy consumption; environmental factors; telecommunication network routing; telecommunication traffic; communication networks; economical benefits; energy consumption reduction; environmental impact; green networking; next control time interval; normalized one-step prediction error; predicted light; prediction-based traffic aggregation; traffic loads; traffic prediction; Conferences; Green products; Predictive models; energy saving; green networking; traffic aggregation; traffic prediction;
Conference_Titel :
Communications (ICC), 2012 IEEE International Conference on
Conference_Location :
Ottawa, ON
Print_ISBN :
978-1-4577-2052-9
Electronic_ISBN :
1550-3607
DOI :
10.1109/ICC.2012.6364705