Adaptive Control and Reconfiguration of Mobile Wireless Sensor Networks for Dynamic Multi-Target Tracking
The authors propose the adaptive control and reconfiguration schemes for Mobile Wireless Sensor Networks (MWSN) to achieve timely and accurate Mobile Multi-Target Tracking (MMTT) with cost-effective energy consumption. In particular, their proposed schemes can detect the mobile multi-targets' random appearance and disappearance in the clutter environments with high accuracy and low energy cost. They develop the optimal mutual-information based techniques to adaptively control the reconfiguration of the proposed MWSN by designing the Distributed/Decentralized Probability Hypothesis Density (DPHD) filtering algorithms. By dynamically adjusting the sensors' states, including their positions and activations, their schemes can efficiently improve the observabilities of the tracked multi-targets.