A Randomized Variance-based Sensor Scheduling for Remote State Estimation. Issue 1 (July 2017)

• Record Type: Journal Article
• Authors: Li, Yuzhe; Chen, Tongwen
• Is Part Of: IFAC-PapersOnLine. Volume 50:Issue 1(2017)
• Page Start: 6385
• Page End: 6390
• Publication Date: 2017-07
• Subjects: Remote state estimation -- transmission power scheduling -- randomized sensor scheduling; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2017.08.1127
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: In this paper, the problem of sensor transmission power schedule for remote state estimation is studied. A sensor sends its local state estimate to a remote estimator through an unreliable wireless channel where packet dropouts may occur. A transmission module at the sensor side needs to decide the transmission power levels that correspond to different packet arrival rates. By extracting the information of the acknowledgement (ACK) sequence from the remote estimator, we propose a randomized variance-based sensor transmission power schedule. A closed-form expression for its asymptotic estimation performance is obtained based on the Markov chain theory. Numerical examples are presented to illustrate the implementation and performance of the proposed method.