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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | GuoDong Kang Perennou, T. Diaz, M. |
| Copyright Year | 2008 |
| Description | Author affiliation: LAAS-CNRS, Univ. de Toulouse, Toulouse, France (GuoDong Kang; Perennou, T.; Diaz, M.) |
| Abstract | The localization requirements for mobile nodes in wireless (sensor) networks are increasing. However, most research works are based on range measurements between nodes which are often over sensitive to the measurement error. In this paper we propose a location estimation scheme based on moving nodes that opportunistically exchange known positions. The user couples a linear matrix inequality (LMI) method with a bary center computation to estimate its position. Simulations have shown that the accuracy of the estimation increases when the number of known positions increases, the radio range decreases and the node speeds increase. The proposed method only depends on a maximum RSS threshold to take into account a known position, which makes it robust and easy to implement. To obtain an accuracy of 1 meter, a user may have to wait at the same position for 5 minutes, with 8 pedestrians moving within range on average. |
| Starting Page | 220 |
| Ending Page | 225 |
| File Size | 331668 |
| Page Count | 6 |
| File Format | |
| ISBN | 9780769534312 |
| DOI | 10.1109/FGCN.2008.85 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-12-13 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Wireless sensor networks Analytical models Measurement errors Wireless networks Computational modeling Robustness Linear matrix inequalities Performance analysis Mathematical model Testing |
| Content Type | Text |
| Resource Type | Article |
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