INGENIOUS WIRELESS SENSOR NETWORK APPLICATIONS USING ADVANCED DATA FUSION TECHNIQUES

The data fusion is an emerging technology. An efficient data fusion algorithm plays an important role in tracking for moving objects over WSS (wireless sensor system) deployments in order to track the objects accurately. Accuracy in object tracking is mainly dominated by the prediction for those moving targets by filtering and refining the results from wireless mobile sensors deployed in WSS environment. Rapid evolution of microprocessors, advanced sensors, and new techniques has led to new capabilities to combine data from multiple sensors for improved inferences. Applications of data fusion range from battlefield surveillance and automatic target recognition for smart weapons. Data fusion models that fuse noisy measurements of multiple sensors. Deriving the scaling laws between coverage, network density, and signal-to-noise ratio (SNR). Optimal fusion range that maximizes the coverage of regular networks increases with network density.