Name
Abstract | ||
|---|---|---|
We develop novel statistical models of the harvested energy from renewable energy sources considering harvest-store-consume (HSC) architecture. We consider three renewable energy harvesting scenarios, i.e., (i) harvesting from the solar power, (ii) harvesting from the wind power, and (iii) hybrid solar and wind power. In this context, we first derive the closed-form expressions for the density fun... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TMC.2020.2983955 | IEEE Transactions on Mobile Computing |
Keywords | DocType | Volume |
Wind power generation,Signal to noise ratio,Unmanned aerial vehicles,Renewable energy sources,Batteries,Closed-form solutions,Energy harvesting | Journal | 20 |
Issue | ISSN | Citations |
8 | 1536-1233 | 9 |
PageRank | References | Authors |
0.45 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Silvia Sekander | 1 | 60 | 2.50 |
| Hina Tabassum | 2 | 684 | 36.14 |
| Ekram Hossain | 3 | 8586 | 453.41 |