Geodesic
Distributed Locating Algorithm MDS-MAP (LF) Based on Low-Frequency Signal
Computer Science and Information Systems, Tome 12 (2015) no. 4.

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The positioning error of distributed MDS-MAP algorithms comes from two aspects: the local positioning error and the position fusion error. In an attempt to improve the positioning result in both local positioning accuracy and global convergence probability, this paper proposes a novel MDS-MAP(LF) algorithm, which uses low frequency signal to measure the inter-sensor distance rather than shortest path algorithms. The proposed MDS-MAP(LF) algorithm leverages the propagation feature of low frequency signal to acquire a more precisely two-hop distance. The simulation and analysis results indicate that the accuracy of local positioning is improved by more than 3%. With the use of cluster expansion, MDS-MAP(LF) also shows a better convergence with comparison to the former classical distributed MDS-MAP algorithm.
Keywords: Wireless Sensor Network, Multi-dimensional Scaling, Low-frequency Signal, Localization 
@article{CSIS_2015_12_4_a10,
     author = {Chunyue Zhou and Tong Xu and Hairong Dong},
     title = {Distributed {Locating} {Algorithm} {MDS-MAP} {(LF)} {Based} on {Low-Frequency} {Signal}},
     journal = {Computer Science and Information Systems},
     publisher = {mathdoc},
     volume = {12},
     number = {4},
     year = {2015},
     url = {http://geodesic.mathdoc.fr/item/CSIS_2015_12_4_a10/}
}
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Chunyue Zhou; Tong Xu; Hairong Dong. Distributed Locating Algorithm MDS-MAP (LF) Based on Low-Frequency Signal. Computer Science and Information Systems, Tome 12 (2015) no. 4. http://geodesic.mathdoc.fr/item/CSIS_2015_12_4_a10/