Acta Metallurgica Sinica(English letters) ›› 2013, Vol. 20 ›› Issue (1): 73-78.doi: 10.1016/S1005-8885(13)60010-2

• Networks • Previous Articles     Next Articles

Research on pricing game strategy for load-balancing in VANET

Yan LING   

  1. 1. School of Computer Science and Engineering, Dalian University of Technology, Dalian 116023, China 2. Institute of Information Engineering, Chinese Academy of Sciences, Beijing 100093, China 3. School of Computer Science, Simon Fraser University, Vancouver, Canada
  • Received:2012-08-03 Revised:2012-09-19 Online:2013-02-28 Published:2013-02-28
  • Contact: Yan LING
  • Supported by:

    This work was supported by the Open Research Fund from the Key Laboratory for Computer Network and Information Integration (Southeast University, Ministry of Education, China), the Fundamental Research Funds for the Central Universities, National Key Technology R&D Program (2011BAK02B02-01), the Hi-Tech Research and Development Program of China (2012AA111902), National Key Technology R&D Program of China (2011BAK02B02), State Key Development Program for Basic Research of China (2011CB302902), the National Natural Science Foundation of China (61073180), National Science and Technology Major Project (2010ZX03006-002-03).


In vehicle Ad-hoc netwok (VANET), traffic load is often unevenly distributed among access points (APs). Such load imbalance hampers the network from fully utilizing the network capacity. To alleviate such imbalance, the paper introduces a novel pricing game model. The research scene is at the intersection when the traffic light is green. As vehicles are highly mobile and the network typology changes dynamically, the paper divides the green light time into equal slots and calculates APs’ prices with the presented pricing game in each time slot. The whole process is a repeated game model. The final equilibrium solution set is APs’ pricing strategy, and the paper claim that this equilibrium solution set can affect vehicles’ selection and ensure APs’ load-balancing. Simulation results based on a realistic vehicular traffic model demonstrate the effectiveness of the game method.

Key words:

pricing game, dynamic repeated game, load-balancing, VANET