Aggregating User Rating and Service Context for WSN Service Ranking
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 paper, the authors propose a context-aware WSN service ranking approach by aggregating the user rating and WSN service context.