DocumentCode
2516562
Title
Self-report traffic pricing model based on incentive stackelberg strategy
Author
Wang, Dan ; Hu, Sanqing ; Qian, Xiaolong ; Jing, Yuanwei
Author_Institution
Key Lab. of Manuf. Ind. Integrated Autom., Shenyang Univ., Shenyang, China
fYear
2011
fDate
23-25 May 2011
Firstpage
1724
Lastpage
1727
Abstract
This paper deal with a kind of routing control problems of networks. The incentive Stackelberg strategy concept in the game theory was introduced to the network traffic model that comprises subsidiary systems of consumers (users) and network. Moreover, to unify the benefits of operators and consumers, a novel self-report network traffic pricing model is constructed. The main idea of the model is that users themselves reporting network traffic according to own practical demand. In the model, the part of excess or leavings will be appropriate punished by a new establishing linear incentive strategy. The results of the theoretical analysis and simulation demonstrate that the proposed strategy provides incentive by means of appropriate resource allocation, and improves the utilization of network resources.
Keywords
game theory; pricing; resource allocation; telecommunication control; telecommunication network routing; telecommunication traffic; consumer subsidiary systems; game theory; incentive Stackelberg strategy; resource allocation; routing control problems; self report traffic pricing model; Game theory; Games; Information science; Optimization; Pricing; Resource management; Routing; Incentive pricing; Rate control; Stackelberg strategy;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2011 Chinese
Conference_Location
Mianyang
Print_ISBN
978-1-4244-8737-0
Type
conf
DOI
10.1109/CCDC.2011.5968474
Filename
5968474
Link To Document