An integrated fusion protocol for congregating sensor data in wireless sensor network

Effective fusion of data, accumulated from the sensors, can be regarded as a direct proportional factor to the successful deployment of a wireless sensor network. Two important fusion properties in support of the concerned area are: Correlation and Aggregation. This paper proposes an energy efficient data fusion protocol, which apart from employing power saving aggregation schemes, also implements network throughput enhancing routines via correlation of sensor signals. The protocol operates in dual mode to provide a perfect balance between the workload distributions among the sensor nodes during several parameter calculations. The notion of Connected Correlation Dominating Set is used to find out the clusters of active alive sensors, which actually involves in the transmission of data. On the basis of an Energy Model, the cluster heads are determined. To keep track of the error parameters, Least Squares (LS) estimation method along with the Linear Predictive Model is taken into consideration. Moreover, we simulate our algorithm using the Network Simulator (NS), ns-2.34.