Name
Abstract | ||
|---|---|---|
Combining energy harvesting with energy-aware scheduling enables perpetually operating sensor networks. The practical realization of this goal yet requires reliable and precise holistic online energy assessment. While the building blocks - assessing residual energy, predicting energy intake, and tracing energy consumption - have been studied in detail, the analysis of their interaction on a real platform has been neglected. This paper answers the question, whether these techniques can be easily joined to give a precise and correct picture of a sensor node's energetic state and behavior. For this purpose, we model the energy flow of a prototype energy-harvesting sensor node and evaluate the joint performance of state-of-the-art energy assessment based on a field test. We verify the system model and show the feasibility of holistic energy assessment, which tolerates small configuration errors, achievable with a combination of generic configuration and online calibration. We also analyze the feasibility of forecasting a node's future energetic state, and find that the presented method gives sufficient results for uniformly distributed consumption profiles. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/INSS.2012.6240526 | INSS |
Keywords | Field | DocType |
energy harvesting,telecommunication power supplies,wireless sensor networks,distributed consumption profile,energy aware scheduling,energy flow,holistic online energy assessment,node future energetic state prediction,perpetually operating sensor network,prototype energy harvesting sensor node,energy management,energy measurement,solar energy,supercapacitors,iris,mathematical model,integrated circuits,hardware | Sensor node,Energy management,Computer science,Energy harvesting,Energy flow,Real-time computing,Wireless sensor network,Energy consumption,Reliability engineering,Tracing,System model | Conference |
ISBN | Citations | PageRank |
978-1-4673-1785-6 | 1 | 0.36 |
References | Authors | |
15 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Renner, C. | 1 | 1 | 0.36 |
| Meier, F. | 2 | 1 | 0.36 |
| Turau, V. | 3 | 4 | 0.91 |