| Publisher | University of Texas | ||
|---|---|---|---|
| Format | 218.8KB PDF | Date added | 30 Sep 2005 |
| Topics | Software Engineering, Mobile - Wireless Communications, Wireless | ||
| Downloads | 13 | ||
Determining the physical location of wireless nodes is important to a wide variety of applications. This paper proposes a series of probabilistic region-based localization algorithms, including using static grids, segments of grids, and dynamic meshes. These algorithms provide a wide range of trade-off between accuracy and cost, making them suitable for different types of networks, such as sensor networks and mesh networks. Furthermore, the paper proposes several techniques to extract and leverage additional information on location constraints, which is shown to significantly improve the localization accuracy and can be applied to other localization schemes. Finally it develops techniques to enhance robustness of localization, and show that the enhanced scheme can achieve high accuracy even in the presence of significant measurement errors.
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