Name
Abstract | ||
|---|---|---|
In our previous work, we presented new reconfigurable underwater sensor network architectures that minimize both the end-to-end delay and the power consumption of the network [1]. The idea was to have dynamic architectures configured on the basis of the network parameters (such as data rate, central processing node capabilities, gathering node capabilities, and water depth). These architectures ignore real-time constraints, but they achieve the best performance in terms of the end-to-end delay and the power consumption. In this paper, we extended our research results and designed new underwater embedded system architectures that satisfy real-time constraints. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/ISSPIT.2017.8388634 | 2017 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) |
Keywords | Field | DocType |
Underwater Embedded System,Real-Time Systems,Architecture,Underwater Sensor Network,Communication Thread | Logic gate,Underwater sensor networks,Computer science,Instruction set,Data rate,Embedded system,Power consumption,Virtual machining,Underwater | Conference |
ISSN | ISBN | Citations |
2162-7843 | 978-1-5386-4663-2 | 1 |
PageRank | References | Authors |
0.37 | 2 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hussain Albarakati | 1 | 2 | 2.08 |
| Reda A. Ammar | 2 | 145 | 41.09 |
| Raafat S. Elfouly | 3 | 13 | 3.49 |
| Hesham Alhumyani | 4 | 1 | 0.37 |