中国邮电高校学报(英文) ›› 2018, Vol. 25 ›› Issue (2): 77-88.doi: 10. 19682/ j. cnki. 1005-8885. 2018. 1008

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Network selection algorithm based on AHP and similarity

Li Wanghong, Zhu Qi   

  1. Jiangsu Key Lab of Wireless Communications, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
  • 收稿日期:2017-10-31 修回日期:2018-03-28 出版日期:2018-04-30 发布日期:2018-07-02
  • 通讯作者: Li Wanghong, E-mail: 2391519868@ qq. com E-mail:2391519868@qq.com
  • 作者简介:Li Wanghong, E-mail: 2391519868@ qq. com
  • 基金资助:
    This work was supported by National Natural Science Foundation of China (61571234, 61631020).

Network selection algorithm based on AHP and similarity

Li Wanghong, Zhu Qi   

  1. Jiangsu Key Lab of Wireless Communications, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
  • Received:2017-10-31 Revised:2018-03-28 Online:2018-04-30 Published:2018-07-02
  • Contact: Li Wanghong, E-mail: 2391519868@ qq. com E-mail:2391519868@qq.com
  • About author:Li Wanghong, E-mail: 2391519868@ qq. com
  • Supported by:
    This work was supported by National Natural Science Foundation of China (61571234, 61631020).

摘要: In heterogeneous wireless networks, there are various kinds of service demands from the users. A network selection algorithm based onthe analytic hierarchy process (AHP) and Similarity is proposed to solve this problem. The services are divided into three classes: Conversational Class, Streaming Class and Interactive Class. According to the characteristics of each service, a different judgment matrix is assigned and then the AHP method is used to
calculate the network attribute weights. Taking the dynamic changes in user demands and network environment into account, a formula based on Lance distance for computing the attributes similarity is derived to evaluate the degree of conformity between user requirements and network attributes, from which the similarity between the user requirements and network attributes is calculated and then the total similarity by weighting. The network with the largest total similarity is the best choice. Simulation results demonstrate the effectiveness of the proposed scheme in improving the quality of service (QoS) according to the user requirements under three kinds of services.

关键词: AHP, attributes similarity, service type, network selection

Abstract: In heterogeneous wireless networks, there are various kinds of service demands from the users. A network selection algorithm based onthe analytic hierarchy process (AHP) and Similarity is proposed to solve this problem. The services are divided into three classes: Conversational Class, Streaming Class and Interactive Class. According to the characteristics of each service, a different judgment matrix is assigned and then the AHP method is used to
calculate the network attribute weights. Taking the dynamic changes in user demands and network environment into account, a formula based on Lance distance for computing the attributes similarity is derived to evaluate the degree of conformity between user requirements and network attributes, from which the similarity between the user requirements and network attributes is calculated and then the total similarity by weighting. The network with the largest total similarity is the best choice. Simulation results demonstrate the effectiveness of the proposed scheme in improving the quality of service (QoS) according to the user requirements under three kinds of services.

Key words: AHP, attributes similarity, service type, network selection

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