中国邮电高校学报(英文) ›› 2013, Vol. 20 ›› Issue (1): 73-78.doi: 10.1016/S1005-8885(13)60010-2

• Networks • 上一篇    下一篇

Research on pricing game strategy for load-balancing in VANET

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   

  1. 大连理工大学计算机学院
  • 收稿日期:2012-08-03 修回日期:2012-09-19 出版日期:2013-02-28 发布日期:2013-02-28
  • 通讯作者: Yan Ling E-mail:lingyan321.love@163.com
  • 基金资助:

    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).

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 E-mail:lingyan321.love@163.com
  • 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).

摘要:

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.

关键词:

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

Abstract:

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