Design And Implementaion Of Redundant Data Processing Server

Currently, intelligent applications with contextual infomation capability become more and more popular.As information source, WSN need to provide sensory data for differnet applications.usually, applications need only a part of the data.If send all data to application, the most data is redundant.The redundant data can increase processing time and transmission load, resulting in the waste of resources and the delay of response time.To solve this problem, this paper designs a redundancy processing sensor data server working at the gateway in the IMS-based WSN service provide system.The server can filt out redundant data a according to the different needs.To avoid the loss of sensory information in filtering, this paper designs a similarity calculation method, to ensure the integrity of sensory information.In addition, the server has the following characteristics:connectting WSN and IMS;sensory information service provide mode based on presence;unified data format of OGC standard.As a middleware connectting WSN and IMS, the redundancy processing sensor data server plays a core role in the system.It is the key of of the system performance and scalability.This paper realizes a prototype of the server based on open source software.The test shows that the server not only performs well in data support, but also effectively reduces the redundancy data.