Name
Title | ||
|---|---|---|
Reconstructing diffusion fields sampled with a network of arbitrarily distributed sensors |
Abstract | ||
|---|---|---|
Sensor networks are becoming increasingly prevalent for monitoring physical phenomena of interest. For such wireless sensor network applications, knowledge of node location is important. Although a uniform sensor distribution is common in the literature, it is normally difficult to achieve in reality. Thus we propose a robust algorithm for reconstructing two-dimensional diffusion fields, sampled with a network of arbitrarily placed sensors. The two-step method proposed here is based on source parameter estimation: in the first step, by properly combining the field sensed through well-chosen test functions, we show how Prony's method can reveal locations and intensities of the sources inducing the field. The second step then uses a modification of the Cauchy-Schwarz inequality to estimate the activation time in the single source field. We combine these steps to give a multi-source field estimation algorithm and carry out extensive numerical simulations to evaluate its performance. |
Year | Venue | Keywords |
|---|---|---|
2014 | Signal Processing Conference | wireless sensor networks,Cauchy-Schwarz inequality,Prony method,activation time estimation,arbitrarily-distributed sensor network,arbitrarily-placed sensor network,multisource field estimation algorithm,node location,physical phenomena monitoring,source parameter estimation,two-dimensional diffusion field reconstruction,uniform sensor distribution,well-chosen test functions,wireless sensor network application,Prony's method,Spatio-temporal sampling,diffusion process,reciprocity gap,sensor networks |
DocType | ISSN | Citations |
Conference | 2076-1465 | 5 |
PageRank | References | Authors |
0.43 | 8 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| John Murray-Bruce | 1 | 5 | 0.43 |
| Dragotti, P.L. | 2 | 512 | 39.29 |