中国邮电高校学报(英文) ›› 2012, Vol. 19 ›› Issue (4): 1-5.doi: 10.1016/S1005-8885(11)60275-6

• Networks •    下一篇

Multiplicative multi-attribute auction based optimal network selection for heterogeneous wireless networks

翟兰杰,纪红,李曦   

  1. 北京邮电大学
  • 收稿日期:2012-03-05 修回日期:2012-06-05 出版日期:2012-08-31 发布日期:2012-09-12
  • 通讯作者: 翟兰杰 E-mail:sandyzhai@bupt.edu.cn
  • 基金资助:

    国家自然科学基金

Multiplicative multi-attribute auction based optimal network selection for heterogeneous wireless networks

  1. Beijing University of Posts and Telecommunications
  • Received:2012-03-05 Revised:2012-06-05 Online:2012-08-31 Published:2012-09-12
  • Supported by:

    National Natural Science Foundation of China

摘要:

One of the remarkable features of the next generation network is the integration of heterogeneous wireless networks, which enables mobile users with multi-mode terminals access to the best available network seamlessly. However, most of previous work only takes account of either maximizing single user’s utility or the whole network’s payoff, rarely considers the negotiation between them. In this paper, we propose a novel network selection approach using improved Multiplicative Multi-attribute Auction (MMA). At first, an improved MMA method is put forward to define the user’s utility. Additionally, user cost is defined by considering allocated bandwidth, network load intensity and cost factor parameter. And last the best suitable network is selected according to the user’s performance-cost-ration. Simulation results confirm that the proposed scheme outperforms the existing scheme in terms of network selection’s fairness, user’s performance-cost-ration, load balancing and the number of accommodated users.

关键词:

multiplicative multi-attribute auction network selection, user’s performance-cost-ration, network load intensity

Abstract:

One of the remarkable features of the next generation network is the integration of heterogeneous wireless networks, which enables mobile users with multi-mode terminals access to the best available network seamlessly. However, most of previous work only takes account of either maximizing single user’s utility or the whole network’s payoff, rarely considers the negotiation between them. In this paper, we propose a novel network selection approach using improved Multiplicative Multi-attribute Auction (MMA). At first, an improved MMA method is put forward to define the user’s utility. Additionally, user cost is defined by considering allocated bandwidth, network load intensity and cost factor parameter. And last the best suitable network is selected according to the user’s performance-cost-ration. Simulation results confirm that the proposed scheme outperforms the existing scheme in terms of network selection’s fairness, user’s performance-cost-ration, load balancing and the number of accommodated users.

Key words:

multiplicative multi-attribute auction network selection, user’s performance-cost-ration, network load intensity