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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xinke Zhu Jiancheng Yu Shenzhen Ren Xiaohui Wang |
| Copyright Year | 2010 |
| Description | Author affiliation: Shenyang Institute of Automation, Chinese Academy of Sciences & State Key Laboratory of Robotics, China (Xinke Zhu; Jiancheng Yu; Shenzhen Ren; Xiaohui Wang) |
| Abstract | When monitoring spatial phenomena, we are not just interested in measurements at sensed locations but also at locations where no sensors were placed. To estimate the scalar field where no sensors are deployed, we need to interpolate the data. We are interested in how the best sampling design is to be found and best used to draw conclusions about the field as whole. First of all, a performance metric is defined to quantify how well the sampling network collecting data in a given region. Secondly, near-optimal collecting data strategy proposed minimizes the integral of the Kriging variance over the area of interest. Thirdly, several approaches proposed make the optimization more computationally efficient. Finally, the proposed methods are verified respectively by simulation. |
| Starting Page | 1 |
| Ending Page | 6 |
| File Size | 770827 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424452217 |
| DOI | 10.1109/OCEANSSYD.2010.5603542 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-05-24 |
| Publisher Place | Australia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Sensors Sea measurements Estimation Oceans Greedy algorithms Heuristic algorithms |
| Content Type | Text |
| Resource Type | Article |
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