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个人信息Personal Information
教授
博士生导师
硕士生导师
主要任职:teaching
性别:男
毕业院校:重庆大学
学位:博士
所在单位:软件学院、国际信息与软件学院
学科:软件工程. 计算机软件与理论
办公地点:开发区综合楼405
联系方式:Email: zkchen@dlut.edu.cn Moble:13478461921 微信:13478461921 QQ:1062258606
电子邮箱:zkchen@dlut.edu.cn
A Collaborative Filtering Recommendation-Based Scheme for WLANs With Differentiated Access Service
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论文类型:期刊论文
发表时间:2018-03-01
发表刊物:IEEE SYSTEMS JOURNAL
收录刊物:SCIE、EI、Scopus
卷号:12
期号:1
页面范围:1004-1014
ISSN号:1932-8184
关键字:AP selection; analytic hierarchy process (AHP); collaborative filtering (CF) recommendation; quality-of-service (QoS); Wireless Local Area Networks (WLANs)
摘要:As the deployment of WLANs becomes extensive, users commonly have to select one access point (AP) for association among multiple available APs. However, the existing AP selection policies are not sufficient enough due to their drawbacks (e.g., imbalanced load and time consuming for association). In this paper, we present a collaborative filtering (CF) recommendation-based AP selection strategy in wireless local area networks (WLANs) with differentiated access service. At first, a differentiated AP selection strategy by utilizing analytic hierarchy process (AHP) is leveraged to optimize AP selection metric with multiple objectives for different users. Furthermore, an improved differentiated AP selection approach by CF recommendation is investigated. Based on our method, the new user can associate with the recommended AP promptly instead of channel scanning and selection metric computation. Meanwhile, load prebalancing module periodically excludes the AP considered to be overloaded from the recommendation list, while the pioneer user (PU) updates the corresponding module periodically with an adaptive method to replace the AP with low recommendation efficiency. Simulation results demonstrate that our presented strategies can provide differentiated quality-of-service (QoS) assurance to users, improve overall network throughput, balance network traffic, and degrade association time cost.