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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 scheme of access service recommendation for the Social Internet of Things
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论文类型:期刊论文
发表时间:2016-03-10
发表刊物:INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS
收录刊物:SCIE、EI、Scopus
卷号:29
期号:4
页面范围:694-706
ISSN号:1074-5351
关键字:Internet of Things; access service recommendation; dynamic; social relation; energy awareness
摘要:The rapid increase in the complexity and the extent of personalization of services in the Internet of Things (IoT) has led to a greater demand for frequent collaboration among heterogeneous devices. Moreover, with the inseparable relations between human and devices, the paradigm of Social IoT (SIoT) is gaining popularity in recent years. How to effectively facilitate the access to quality services and credible devices in large-scale networks via defining, establishing, and managing social architectures among things has become a critical issue. In this paper, a scheme of access service recommendation for the SIoT is presented with the understanding of inherent constraints and factors that influence the security and stability of IoT networks. In which, timeliness properties are considered in each transaction for dynamic performance enhancements. With the benefits of promoting service discovery and composition, social relationships among things are introduced in the proposed scheme. An energy-aware mechanism is also utilized as a restrictive factor in trustworthiness evaluation. Finally, the recommendation is based not only on the past performance but also on the social relationship and the energy status of nodes. Simulation experiments demonstrate the effectiveness and benefits of our scheme from three aspects including rating accuracy, dynamic behavior, and network stability. Copyright (c) 2015 John Wiley & Sons, Ltd.