Name
Abstract | ||
|---|---|---|
Dynamic sensor selection rules are obtained based on a context-aware measurement model in the framework of sequential hypotheses testing. The notion of context incorporates the operational conditions that directly affect sensor measurements. While a random context leads to a Bayesian decision rule, an unknown but nonrandom context yields minimax game-based rules. In either case, the resulting sensor selection rule trades off decision performance against the cost of sensor activation and the uncertainty of the true context. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/CDC.2014.7040471 | Decision and Control |
Keywords | Field | DocType |
sensors,ubiquitous computing,Bayesian decision rule,context-aware measurement model,dynamic context-aware sensor selection,dynamic sensor selection rules,minimax game-based rules,sensor activation,sequential hypothesis testing | Decision rule,Minimax,Computer science,Artificial intelligence,Sensor selection,Sequential analysis,Statistical hypothesis testing,Machine learning,Bayesian probability | Conference |
ISSN | ISBN | Citations |
0743-1546 | 978-1-4799-7746-8 | 2 |
PageRank | References | Authors |
0.40 | 17 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nurali Virani | 1 | 16 | 4.26 |
| Ji-Woong Lee | 2 | 348 | 34.51 |
| Shashi Phoha | 3 | 201 | 39.47 |
| Ray, A. | 4 | 832 | 184.32 |