Abstract
We study centralized state estimation in this paper. A group of sensors measure the state of a process and transmit the measurements to a remote estimator. We consider sensor communication scheduling to minimize the communication resources and at the same time guarantee a desired level of remote estimation quality. We consider both deterministic and stochastic scheduling and provide numerical algorithms to give suboptimal solutions.
| Original language | English |
|---|---|
| Title of host publication | 2014 IEEE International Conference on Information and Automation, ICIA 2014 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1166-1171 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781479941001 |
| DOIs | |
| State | Published - 21 Oct 2014 |
| Externally published | Yes |
| Event | 2014 IEEE International Conference on Information and Automation, ICIA 2014 - Hailar, Hulunbuir, China Duration: 28 Jul 2014 → 30 Jul 2014 |
Publication series
| Name | 2014 IEEE International Conference on Information and Automation, ICIA 2014 |
|---|
Conference
| Conference | 2014 IEEE International Conference on Information and Automation, ICIA 2014 |
|---|---|
| Country/Territory | China |
| City | Hailar, Hulunbuir |
| Period | 28/07/14 → 30/07/14 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Energy Consumption
- Lifetime maximization
- Modified algebraic Riccati equation
- Networked state estimation
- Sensor scheduling
- Stochastic scheduling
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