Name
Title | ||
|---|---|---|
Cooperative and distributed localization for wireless sensor networks in multipath environments |
Abstract | ||
|---|---|---|
We consider the problem of sensor localization in wireless networks in a multipath environment. We propose a distributed and cooperative algorithm based on belief propagation, which allows sensors to cooperatively self-localize with respect to a single anchor node in the network, using range and direction of arrival measurements. In the algorithm, neighboring sensors exchange limited information to update their local mean location estimates and covariance matrices. We show that the covariance matrix for each sensor converges for connected networks, and its mean location estimate converges if all scatters are either parallel or orthogonal to each other. Furthermore, these estimates are asymptotically unbiased. Simulations show that cooperation amongst neighboring nodes significantly improves the localization accuracy. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/ICASSP.2012.6288577 | international conference on information and communication security |
Keywords | DocType | Volume |
cooperative localization,distributed localization,belief propagation,cooperative communication,localization accuracy,multipath environments,wireless sensor network,neighboring nodes,covariance matrices,local mean location estimates,direction of arrival measurements,direction-of-arrival estimation,wireless sensor networks,non-line-of-sight errors,connected networks,computational modeling,silicon,unified modeling language,covariance matrix,accuracy,convergence | Journal | abs/1109.5770 |
ISSN | ISBN | Citations |
1520-6149 E-ISBN : 978-1-4673-0044-5 | 978-1-4673-0044-5 | 8 |
PageRank | References | Authors |
0.48 | 18 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mei Leng | 1 | 223 | 13.44 |
| Wee Peng Tay | 2 | 561 | 52.82 |
| Tony Q. S. Quek | 3 | 3621 | 276.75 |