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
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;
Conference_Titel :
Control and Decision Conference (CCDC), 2011 Chinese
Conference_Location :
Mianyang
Print_ISBN :
978-1-4244-8737-0
DOI :
10.1109/CCDC.2011.5968474