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20142023
most citedStochastic Event-triggered Sensor Schedule for Remote State Estimation

398 citations · 620 across the 43 of their papers we have counts for

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Showing 2015Show all

5 papers · 1 filter

eess.SY2015★ 10 cited

Fake-Acknowledgment Attack on ACK-based Sensor Power Schedule for Remote State Estimation

Yuzhe Li, Daniel E. Quevedo, Subhrakanti Dey +1

We consider a class of malicious attacks against remote state estimation. A sensor with limited resources adopts an acknowledgement (ACK)-based online power schedule to improve the…

eess.SY2015

Data-Driven Power Control for State Estimation: A Bayesian Inference Approach

Junfeng Wu, Yuzhe Li, Daniel E. Quevedo +2

We consider sensor transmission power control for state estimation, using a Bayesian inference approach. A sensor node sends its local state estimate to a remote estimator over an…

eess.SY2015★ 9 cited

Quickest Change Detection in Adaptive Censoring Sensor Networks

Xiaoqiang Ren, Karl H. Johansson, Dawei Shi +1

The problem of quickest change detection with communication rate constraints is studied. A network of wireless sensors with limited computation capability monitors the environment…

cs.IT2015★ 1 cited

Multi-Sensor Scheduling for State Estimation with Event-Based, Stochastic Triggers

Sean Weerakkody, Yilin Mo, Bruno Sinopoli +2

In networked systems, state estimation is hampered by communication limits. Past approaches, which consider scheduling sensors through deterministic event-triggers, reduce communic…

eess.SY2015

An Improved Stability Condition for Kalman Filtering with Bounded Markovian Packet Losses

Junfeng Wu, Ling Shi, Lihua Xie +1

In this paper, we consider the peak-covariance stability of Kalman filtering subject to packet losses. The length of consecutive packet losses is governed by a time-homogeneous fin…