Name
Abstract | ||
|---|---|---|
Wireless sensor nodes that are self-powered by extracting their energy from their environment are a new opportunity for monitoring purpose. Since the available energy is not constant over time and due to very low harvested power levels, efficient energy and power management strategies are mandatory for improving their autonomy. At system level, scheduling algorithms are proposed to efficiently use multi power path architectures and avoid as much as possible the use of batteries. A data- and energy-driven architecture and its associated algorithm are presented achieving high efficiency due to fully adaptive scheme. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1145/2228360.2228550 | DAC |
Keywords | Field | DocType |
autonomous sensor node,available energy,new opportunity,power management strategy,associated algorithm,adaptive scheme,high efficiency,power level,multi power path architecture,energy harvesting,energy-driven architecture,efficient energy,asynchronous,wireless communication,scheduling algorithm,computer architecture,scheduling algorithms,scheduling,architecture,algorithm design and analysis,wireless sensor networks,energy conservation | Key distribution in wireless sensor networks,Power management,Energy conservation,Wireless,Efficient energy use,Computer science,Energy harvesting,Real-time computing,Available energy,Wireless sensor network | Conference |
ISSN | Citations | PageRank |
0738-100X | 3 | 0.48 |
References | Authors | |
18 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| J. F. Christmann | 1 | 14 | 1.96 |
| Edith Beigne | 2 | 536 | 52.54 |
| C. Condemine | 3 | 13 | 1.56 |
| J. Willemin | 4 | 28 | 4.40 |
| C. Piguet | 5 | 3 | 0.48 |