Name
Abstract | ||
|---|---|---|
In spite of using unreliable resource-constrained devices, sensor networks can nowadays deliver 99.9% of their data with duty cycles well below 1%. This remarkable performance is, however, dependent on one or more of the following assumptions: low traffic rates, medium size densities and static nodes. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1145/2517351.2517417 | SenSys |
Keywords | Field | DocType |
extreme wireless,medium size density,static node,low traffic rate,following assumption,remarkable performance,duty cycle,sensor network,unreliable resource-constrained device,simulation,sunset,emulation | Key distribution in wireless sensor networks,Underwater sensor networks,Computer science,Duty cycle,Computer network,Real-time computing,Emulation,Wireless sensor network | Conference |
Citations | PageRank | References |
3 | 0.40 | 12 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marco Cattani | 1 | 47 | 5.11 |
| Marco Zuniga | 2 | 867 | 62.79 |
| Matthias Woehrle | 3 | 194 | 21.93 |
| Koen Langendoen | 4 | 3372 | 285.21 |