Optimizing the power consumption in WSN through target tracking

Abstract

recently, wireless sensor networks (WSNs) have been employed for tracking maneuvering objects. However, considering diverse deployment nature of sensor device higher measurement error is induced during tracking operation. Enhancing lifetime of WSNs and improving tracking accuracy is utmost important. Here in optimizing the energy consumption a clustered based routing scheme is considered. Further, for reducing tracking error Kalman filter is applied in different models; However, Kalman Filter-based tracking model fails eliminate tracking error outlier; in eliminating outlier in measurement model in this paper an H-infinity filter is used. Experiment is carried out for evaluating outcome in terms of energy efficiency, root mean square position error and root mean square velocity error. The proposed H-infinity filter based tracking model outperforms Kalman Filter-based tracking model.