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Aggregating user rating and service context for WSN service ranking

机译:汇总用户评分和服务上下文以进行WSN服务排名

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摘要

Wireless sensor networks(WSNs) are always deployed for monitoring and gathering physical information via lots of sensors. For facilitating the internet usage of WSN, Web service is regarded as the most promising technology to wrap the sensor functionality to form WSN service. With the growth of WSN services, making service ranking to help users select the best performance services becomes more and more important. However, traditional service ranking only considering from user's perspective does not suit WSN service any more due to the dynamic WSN environment and slow-reacting characteristic of user ratings. In order to address this problem, in this article, we propose a context-aware WSN service ranking approach by aggregating the user rating and WSN service context. Firstly, the User QoS Assessment(UQA) and Context QoS Assessment(CQA) are proposed respectively. Then through investigating the performance influence of WSN service brought by their context variation, a fuzzy-based mechanism is further developed for the aggregation of UQA and CQA. The case study and experimental evaluation show the validity of the proposed approach.
机译:无线传感器网络(WSN)始终被部署为通过大量传感器监视和收集物理信息。为了促进WSN的互联网使用,Web服务被认为是包装传感器功能以形成WSN服务的最有前途的技术。随着WSN服务的增长,对服务进行排名以帮助用户选择性能最佳的服务变得越来越重要。但是,由于动态的WSN环境和用户评分反应迟钝的特性,仅从用户角度考虑的传统服务排名已不再适合WSN服务。为了解决这个问题,在本文中,我们通过汇总用户评分和WSN服务上下文,提出了一种上下文感知的WSN服务排名方法。首先,分别提出了用户QoS评估(UQA)和上下文QoS评估(CQA)。然后,通过研究上下文变化对无线传感器网络服务性能的影响,进一步发展了一种基于模糊的UQA和CQA聚合机制。案例研究和实验评估表明了该方法的有效性。

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