北京航空航天大学学报 ›› 2016, Vol. 42 ›› Issue (4): 711-717.doi: 10.13700/j.bh.1001-5965.2015.0278

• 论文 • 上一篇    下一篇

基于细胞吸引子选择机制的网络选择算法

夏海英, 曾诚, 蔡凤田, 周炜   

  1. 交通运输部公路科学研究院, 北京 100088
  • 收稿日期:2015-05-05 修回日期:2015-07-31 出版日期:2016-04-20 发布日期:2016-04-29
  • 通讯作者: 蔡凤田, Tel.: 010-61585022 E-mail: ft.cai@rioh.cn E-mail:ft.cai@rioh.cn
  • 作者简介:夏海英 女,学士,工程师。主要研究方向:交通信息系统。 E-mail: hy.xia@rioh.cn;曾诚 男,硕士,副研究员。主要研究方向:汽车运用工程。 E-mail: c.zeng@rioh.cn;蔡凤田 男,硕士,研究员。主要研究方向:道路运输节能减排。 Tel.: 010-61585022 E-mail: ft.cai@rioh.cn;周炜 男,博士,研究员。主要研究方向:汽车电子与无线智能交通控制技术。 E-mail: w.zhou@rioh.cn
  • 基金资助:
    国家科技支撑计划(2009BAG13A04)

Network selection algorithm based on cell attractor selection scheme

XIA Haiying, ZENG Cheng, CAI Fengtian, ZHOU Wei   

  1. Research Institute of Highway Ministry of Transport, Beijing 100088, China
  • Received:2015-05-05 Revised:2015-07-31 Online:2016-04-20 Published:2016-04-29
  • Supported by:
    National Key Technology Research and Development Program of China (2009BAG13A04)

摘要: 随着无线通信技术的发展,物联网、车联网和体联网等同类型的无线网络之间共存、相互补充和异构融合。任何单一的通信技术不能完全满足人们对网络服务的多样化需求。如何在移动过程中选择可靠高效的网络连接成为学术和工业界的研究热点。基于细胞吸引子选择模型,提出了一种面向群体终端网络选择的决策方法,并通过车联网环境数值实验比较了该生物启发式决策方法与基于效用函数方法的性能,结果表明:基于细胞吸引子选择机制的生物启发式决策方法在网络选择决策中具有较好的性能。

关键词: 网络选择, 吸引子选择, 车联网, 物联网, 微生物

Abstract: With the development of mobile communication, there are many different kinds of wireless networks, such as the internet of things, vehicular networks, and body networks. These mobile networks need the reliable seamless roaming among a multitude of access network technologies. Any single communication technology cannot satisfy the requirement of multi-kinds of network services. How to choose a stable network in the moving environment has become a hot subject in the academic field and industry. A network selection algorithm based on the attractor selection is proposed in this paper. In order to demonstrate the strengths in bio-inspired mechanism and provide a deep insight into the difference between attractor selection based and utility function based solutions, a group decision making method for vehicular network selection is proposed in our work. In addition, simulation experiment is performed to verify as well as to highlight the potential of bio-inspired solution based on attractor selection.

Key words: network selection, attractor selection, vehicular networks, internet of things, microbiology

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