Distributed Event-Triggered Estimation Over Sensor Networks: A Survey
By Xiaohua Ge, Qing-Long Han, Xianming Zhang, Lei Ding, Fuwen Yang. IEEE Transactions on Cybernetics, 2020
422 citations recorded by the source corpus.
An event-triggered mechanism is of great efficiency in reducing unnecessary sensor samplings/transmissions and, thus, resource consumption such as sensor power and network bandwidth, which makes distributed event-triggered estimation a promising resource-aware solution for sensor network-based monitoring systems. This paper provides a survey of recent advances in distributed event-triggered estimation for dynamical systems operating over resource-constrained sensor networks. Local estimates of an unavailable state signal are calculated in a distributed and collaborative fashion based on only invoked sensor data. First, several fundamental issues associated with the design of distributed estimators are discussed in detail, such as estimator structures, communication constraints, and design methods. Second, an emphasis is laid on recent developments of distributed event-triggered estimation that has received considerable attention in the past few years. Then, the principle of an event-triggered mechanism is outlined and recent results in this subject are sorted out in accordance with different event-triggering conditions. Third, applications of distributed event-triggered estimation in practical sensor network-based monitoring systems including distributed grid-connected generation systems and target tracking systems are provided. Finally, several challenging issues worthy of further research are envisioned.
Subfields: Artificial Intelligence, Computer Networks and Communications
View Paper: https://www.semanticscholar.org/paper/d9bdeec7dca0dad82b36df3dd33c87c229908a4f
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Citations in the corpus
- Networked control systems: a survey of trends and techniques (2020, background): “With the assumption that the data integrity attack signals are bounded [131]–[133] or follow specific probabilistic distributions [38], [126], one of approaches to solving the problem is to model the data integrity attack signals as system external disturbance, process or measurement noise, as done ”
- Resilient Control Design Based on a Sampled-Data Model for a Class of Networked Control Systems Under Denial-of-Service Attacks (2019, background): “Therefore, NCSs have attracted much attention from researchers and a great number of results have been reported on NCSs, see [14]–[20] and the references therein.”
- Dynamic Event-Triggered Distributed Coordination Control and its Applications: A Survey of Trends and Techniques (2020, background): “Since then, a considerable amount of research on the ETSM has yet been carried out for various networked systems, see survey papers [2]–[4] on single-plant-based networked systems, [5] on distributed sensor networks, and [6]–[9] on MASs.”
- Secure State Estimation and Control of Cyber-Physical Systems: A Survey (2021, background): “Typical scheduling protocols include, but are not limited to, event-triggered protocols [34], [37], [38], [98], random access protocol [103], and round-robin protocols [10], [17], [18], [104].”