Multi-Sensor-Based Estimation in Wireless Sensor Network with Stochastic Competitive Transmission

This paper is concerned with the multi-sensor-based estimation problem in wireless sensor network. A stochastic competitive transmission strategy is proposed to stagger the sensors' transmissions. By using the asynchronous sampled information from the sensors, a recursive Kalman estimation algorithm is derived for the fusion center to periodically estimate several future states of the target. An illustrative example is provided to demonstrate the effectiveness of the proposed theoretical results.