DocumentCode
723843
Title
Dynamic topology based network energy-saving mechanism
Author
Wang Junwei ; Tan Jun
Author_Institution
Sch. of Control Eng., Northeastern Univ. at Qinhuangdao, Qinhuangdao, China
fYear
2015
fDate
23-25 May 2015
Firstpage
5744
Lastpage
5747
Abstract
With the rapid development of networks and constant renewal of network devices, the energy problem of network attracts more and more attention. High energy consumption and low efficiency have become an important factor of obstructing the network further development. In this paper, a dynamic topology based network energy-saving mechanism is proposed. It consists of three parts: data acquisition module, traffic prediction module and information decision module. The data acquisition module is responsible for collecting the network topology, the traffic and the routers´ load. It is the basis of the other two parts. The traffic prediction module is responsible for forecasting the traffic of network in real-time. And it also sends the result to the decision module. The information decision module will process information send by the collection module and the traffic prediction to make a good decision, which let some route to be sleeping or wake-up state. This mechanism will save network energy effectively without affecting the quality of network service. The simulation and performance evaluation show that the proposed algorithm has better performance.
Keywords
computer networks; energy conservation; telecommunication equipment; telecommunication network topology; telecommunication power management; telecommunication traffic; collection module; data acquisition module; dynamic topology; information decision module; network energy saving; network topology; router load; traffic prediction module; Energy consumption; Green products; Joints; Markov processes; Network topology; Routing; Topology; Markov chain; dynamic topology; energy-saving; traffic prediction;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location
Qingdao
Print_ISBN
978-1-4799-7016-2
Type
conf
DOI
10.1109/CCDC.2015.7161829
Filename
7161829
Link To Document