398 citations · 853 across the 44 of their papers we have counts for
10 papers · 1 filter
Distributed inference over directed networks: Performance limits and optimal design
Dragana Bajović, José M. F. Moura, João Xavier +1
We find large deviations rates for consensus-based distributed inference for directed networks. When the topology is deterministic, we establish the large deviations principle and…
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…
Stochastic Event-triggered Sensor Schedule for Remote State Estimation
Duo Han, Yilin Mo, Junfeng Wu +3
We propose an open-loop and a closed-loop stochastic event-triggered sensor schedule for remote state estimation. Both schedules overcome the essential difficulties of existing sch…
Large Deviations Performance of Consensus+Innovations Distributed Detection with Non-Gaussian Observations
Dragana Bajovic, Dusan Jakovetic, Jose M. F. Moura +2
We establish the large deviations asymptotic performance (error exponent) of consensus+innovations distributed detection over random networks with generic (non-Gaussian) sensor obs…
Distributed Detection over Random Networks: Large Deviations Performance Analysis
Dragana Bajovic, Dusan Jakovetic, Joao Xavier +2
We study the large deviations performance, i.e., the exponential decay rate of the error probability, of distributed detection algorithms over random networks. At each time step $k…
Sensor Selection for Event Detection in Wireless Sensor Networks
Dragana Bajovic, Bruno Sinopoli, Joao Xavier
We consider the problem of sensor selection for event detection in wireless sensor networks (WSNs). We want to choose a subset of p out of n sensors that yields the best detection…