Optimal Transmission Policies for Variance Based Event Triggered Estimation With an Energy Harvesting Sensor

被引:0
作者
Leong, Alex S. [1 ]
Dey, Subhrakanti [2 ]
Quevedo, Daniel E. [1 ]
机构
[1] Univ Paderborn, Dept Elect Engn EIM E, Paderborn, Germany
[2] Uppsala Univ, Dept Engn Sci, Uppsala, Sweden
来源
2016 24TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO) | 2016年
关键词
NETWORKED CONTROL-SYSTEMS; STATE ESTIMATION; CONSTRAINTS; ALLOCATION; NODES;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper considers a remote state estimation problem where a sensor observes a dynamical process, and transmits local state estimates over an independent and identically distributed (i.i.d.) packet dropping channel to a remote estimator. The sensor is equipped with energy harvesting capabilities. At every discrete time instant, provided there is enough battery energy, the sensor decides whether it should transmit or not, in order to minimize the expected estimation error covariance at the remote estimator. For transmission schedules dependent only on the estimation error covariance at the remote estimator, the energy available at the sensor, and the harvested energy, we establish structural results on the optimal scheduling which show that for a given battery energy level and a given harvested energy, the optimal policy is a threshold policy on the error covariance, i.e. transmit if and only if the error covariance exceeds a certain threshold. Similarly, for a given error covariance and a given harvested energy, the optimal policy is a threshold policy on the battery level. Numerical studies confirm the qualitative behaviour predicted by our structural results.
引用
收藏
页码:225 / 229
页数:5
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