Global Optimization Method for Continuous-Time Sensor Scheduling
We consider a situation in which several sensors are used to collect data for signal processing. Since operating multiple sensors simultaneously causes system interference, only one sensor can be active at any one time. The problem of scheduling the operation of the sensors to minimize signal estima...
| Main Authors: | , , |
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| Format: | Journal Article |
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InforMath Publishing Group
2010
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/5750 |
| _version_ | 1848744883927384064 |
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| author | Woon, Siew Fang Rehbock, Volker Loxton, Ryan |
| author_facet | Woon, Siew Fang Rehbock, Volker Loxton, Ryan |
| author_sort | Woon, Siew Fang |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | We consider a situation in which several sensors are used to collect data for signal processing. Since operating multiple sensors simultaneously causes system interference, only one sensor can be active at any one time. The problem of scheduling the operation of the sensors to minimize signal estimation error is formulated as a discrete-valued optimal control problem. This problem cannot be solved using conventional optimization techniques. We instead transform it into an equivalent mixed discrete optimization problem. The transformed problem is then decomposed into a bi-level optimization problem, which is solved using a discrete filled function method in conjunction with a conventional optimal control algorithm. Numerical results show that our algorithm is robust, efficient, and reliable in attaining a near globally optimal solution. |
| first_indexed | 2025-11-14T06:08:33Z |
| format | Journal Article |
| id | curtin-20.500.11937-5750 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T06:08:33Z |
| publishDate | 2010 |
| publisher | InforMath Publishing Group |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-57502017-03-08T13:31:50Z Global Optimization Method for Continuous-Time Sensor Scheduling Woon, Siew Fang Rehbock, Volker Loxton, Ryan time scaling transformation mixed discrete optimization optimal control sensor scheduling discrete filled function We consider a situation in which several sensors are used to collect data for signal processing. Since operating multiple sensors simultaneously causes system interference, only one sensor can be active at any one time. The problem of scheduling the operation of the sensors to minimize signal estimation error is formulated as a discrete-valued optimal control problem. This problem cannot be solved using conventional optimization techniques. We instead transform it into an equivalent mixed discrete optimization problem. The transformed problem is then decomposed into a bi-level optimization problem, which is solved using a discrete filled function method in conjunction with a conventional optimal control algorithm. Numerical results show that our algorithm is robust, efficient, and reliable in attaining a near globally optimal solution. 2010 Journal Article http://hdl.handle.net/20.500.11937/5750 InforMath Publishing Group fulltext |
| spellingShingle | time scaling transformation mixed discrete optimization optimal control sensor scheduling discrete filled function Woon, Siew Fang Rehbock, Volker Loxton, Ryan Global Optimization Method for Continuous-Time Sensor Scheduling |
| title | Global Optimization Method for Continuous-Time Sensor Scheduling |
| title_full | Global Optimization Method for Continuous-Time Sensor Scheduling |
| title_fullStr | Global Optimization Method for Continuous-Time Sensor Scheduling |
| title_full_unstemmed | Global Optimization Method for Continuous-Time Sensor Scheduling |
| title_short | Global Optimization Method for Continuous-Time Sensor Scheduling |
| title_sort | global optimization method for continuous-time sensor scheduling |
| topic | time scaling transformation mixed discrete optimization optimal control sensor scheduling discrete filled function |
| url | http://hdl.handle.net/20.500.11937/5750 |