IDENTIFYING HIDDEN CORRELATION OVER FUSION TECHNOLOGY APPLIED IN WIRELESS SENSOR ENVIRONMENT

Abstract

In now days we are using wireless sensor network (WSNs) have been traditionally tasked with the single
applications, but now emerged with multiapplication paradigms. As the number of application in a WSNs
increases, it also increases the WSN complexity and the amount of required transmitted messages.Multi-sensor
hierarchical data fusion algorithm designed for multiple application environment. A major requirement in these
networks is to save energy in order to extend the operational lifetime.
The system has identifies the correlation between sensor data to exploit knowledge and monitor the behavior of
sensor, increasing their working lifetime and produce better results. The multi-sensor data’s are collected and
transmitted to the base station with energy saving options. The heterogeneous data hierarchically combines and
transmits to the base station. And it also combines the data into hierarchical form to reduce the energy
utilization. In the proposed system, a Multi-sensor Hierarchical data Fusion Algorithm (MHDF) is introduced
that identifies patterns in data streams generated by distinct applications is proposed in order to find the best
correlations to apply MHDFs. Wireless sensor data collection is performed in the proposed system .The multisensor data’s are collected and transmitted to the base station with energy saving options. The system
effectively collect the heterogeneous data hierarchically and combine to transmits to the base station.