Real Time Tactic for Knowledge Placement & Management in Wireless Sensor Networks

Knowledge Placement & Management in wireless sensor networks has been a research area in recent years. Many existing Sensor Knowledge Management Systems view sensor data as a continuous stream that is sensed, filtered, processed, and aggregated as it “flows” from sensors to users. We argue that the Knowledge Management infrastructure will need substantial redesign to fully exploit the presence of local storage and processing capability in order to reduce expensive communication. In this paper we propose an architectural framework for Knowledge Placement and Management. We propose a reliable and real time tactic for Knowledge placement and achieving data integrity using self organized sensor clusters. Instead of storing information in individual cluster heads as suggested in some protocols, in our architecture we suggest storing of information of all clusters within a cell in the corresponding base station and finally we are trying to calculate Sensor Network Knowledgebase Query Processing time and space complexity.