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

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

  1. Qing-Long Han
  2. Xiaohua Ge
  3. Xianming Zhang
  4. Lei Ding
  5. Derui Ding
  6. Chen Peng
  7. Dong Yue
  8. Jun Wang

In Computer Networks and Communications

  1. Qing-Long Han
  2. Xianming Zhang
  3. Xiaohua Ge
  4. Chen Peng
  5. Lei Ding
  6. Dong Yue
  7. Derui Ding
  8. Yu-Long Wang

Citations in the corpus