Name
Abstract | ||
|---|---|---|
The robust operation of many sensor network applications depends on deploying relays to ensure wireless coverage. Ra- dio mapping aims to predict network coverage based on a small number of link measurements. This problem is par- ticularly challenging in complex indoor environments where walls signicantly aect radio signal propagation. Neverthe- less, we show that it is feasible to accurately predict coverage through a two-step process: a propagation model is used to predict signal strength at a recipient node, which is then mapped to a coverage prediction. Through an in-depth em- pirical study, we show that complex models do not necessar- ily produce accurate estimates of signal strength: there is an important tradeo between model accuracy and the number of parameters that must be estimated from limited training data. We nd that the best performance is achieved by a family of models which classify walls based on their atten- uation into a small number of classes and develop an algo- rithm to perform this classication automatically. Based on these insights, we build a novel Radio Mapping Tool (RMT) for predicting radio converge in indoor environments. Ex- perimental results demonstrate RMT's eectiveness in two buildings: RMT reduces the number of locations where cov- erage is erroneously predicted to exist by as much as 39% and 54% compared to the classic log-normal radio propaga- tion model. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1145/1791212.1791252 | IPSN |
Keywords | Field | DocType |
complex model,radio mapping,radio converge,indoor sensor network,signal strength,practical modeling,wireless coverage,radio coverage,radio signal propagation,classic log-normal radio propagation,coverage prediction,network coverage,small number,empirical study,wireless sensor networks,radio propagation,sensor network,coverage,wireless sensor network | Small number,Key distribution in wireless sensor networks,Wireless,Computer science,Radio propagation model,Computer network,Real-time computing,Attenuation,Wireless sensor network,Radio coverage,Empirical research | Conference |
Citations | PageRank | References |
21 | 0.97 | 17 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Octav Chipara | 1 | 656 | 37.29 |
| Gregory Hackmann | 2 | 565 | 33.55 |
| Chenyang Lu | 3 | 6474 | 385.38 |
| William D. Smart | 4 | 47 | 3.61 |
| Gruia-Catalin Roman | 5 | 3148 | 290.45 |