Name
Abstract | ||
|---|---|---|
In this paper, we describe an algorithm for sensor network localization (SNL) that proceeds by dividing the whole network into smaller subnetworks, then localizes them in parallel using some fast and accurate algorithm, and finally registers the localized subnetworks in a global coordinate system. We demonstrate that this divide-and-conquer algorithm can be used to leverage existing high-precision SNL algorithms to large-scale networks, which could otherwise only be applied to small-to-medium sized networks. The main contribution of this paper concerns the final registration phase. In particular, we consider a least-squares formulation of the registration problem (both with and without anchor constraints) and demonstrate how this otherwise non-convex problem can be relaxed into a tractable convex program. We provide some preliminary simulation results for large-scale SNL demonstrating that the proposed registration algorithm (together with an accurate localization scheme) offers a good tradeoff between run time and accuracy. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ICASSP.2015.7178491 | 2015 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING (ICASSP) |
Keywords | Field | DocType |
sensor network localization, anchors, scalability, divide-and-conquer, rigid registration, semidefinite programming | Mathematical optimization,Division (mathematics),Noise measurement,Computer science,Global coordinate system,Regular polygon,Subnetwork,Wireless sensor network | Journal |
Volume | ISSN | Citations |
abs/1310.8135 | 1520-6149 | 4 |
PageRank | References | Authors |
0.41 | 20 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kunal N. Chaudhury | 1 | 99 | 15.56 |
| Yuehaw Khoo | 2 | 32 | 6.04 |
| A. Singer | 3 | 695 | 52.77 |