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

https://doi.org/10.3182/20130902-3-CN-3020.00071Get rights and content

Abstract

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.

Keywords

Kalman estimation
stochastic competitive transmission
sensor network
sensor failure

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The work was supported by the National Natural Science Foundation of China under Grant No. 61104063 and 61273117, the Key Technology Innovative Research Team of Zhejiang Province under Grant No. 2011R09007-05, and the Research Fund for the Doctoral Program of Higher Education of China under the Grant no. 20113317120001.

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