Energy Aware Generalized Gaussian Distributive Sammon Regularization Analysis for Target Object Tracking in WSN
DOI:
https://doi.org/10.17762/msea.v71i4.904Abstract
A wireless sensor network (WSN) is a network of small devices, called sensors, used for sensing and monitoring the environmental conditions at various locations through wireless links. Target object tracking is the most important application of WSN where energy conservation plays an important role. Several methods have been developed for target object tracking in WSN with minimal energy consumption. But, the accuracy level was not increased by existing tracking techniques. In order to address these problems, a novel targets object tracking method called Energy Aware Generalized Gaussian Distributive Sammon Regularization Policy Learning (GDSR) for efficient target object tracking in WSN.