Name
Abstract | ||
|---|---|---|
In recent years, the use of wireless sensor networks for industrial applications has rapidly increased. However, energy consumption still remains one of the main limitations of this technology. As communication typically accounts for the major power consumption, the activity of the transceiver should be minimized, in order to prolong the network lifetime. To this end, this paper proposes an adapti... |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/TII.2009.2025863 | IEEE Transactions on Industrial Informatics |
Keywords | Field | DocType |
Wireless sensor networks,Adaptive systems,Sleep,Energy consumption,Job shop scheduling,Transceivers,Wireless application protocol,Energy management,Data acquisition,Dynamic scheduling | Key distribution in wireless sensor networks,Power management,Airfield traffic pattern,Computer science,Computer network,Real-time computing,Network topology,Schedule,Mobile wireless sensor network,Energy consumption,Wireless sensor network | Journal |
Volume | Issue | ISSN |
5 | 3 | 1551-3203 |
Citations | PageRank | References |
68 | 2.79 | 42 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Giuseppe Anastasi | 1 | 2236 | 125.94 |
| Marco Conti | 2 | 1490 | 114.70 |
| Mario Di Francesco | 3 | 1573 | 69.29 |