Title | ||
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Automatic Energy-Hotspot Detection and Elimination in Real-Time Deeply Embedded Systems |
Abstract | ||
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Today’s deeply embedded systems, with real-time interactions to the environment, are largely battery-operated, and peripheral modules like LTE, WiFi, and GPS are among the most energy-hungry components of them. These components are often under the direct control of an embedded software. Some pieces of the software program are called energy hotspots if they can be transformed towards better system ... |
Year | DOI | Venue |
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2021 | 10.1109/RTSS52674.2021.00020 | 2021 IEEE Real-Time Systems Symposium (RTSS) |
Keywords | DocType | ISBN |
Energy consumption,Embedded systems,Simulation,Static analysis,Real-time systems,Wireless fidelity,Embedded software | Conference | 978-1-6654-2802-6 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Mohsen Shekarisaz | 1 | 0 | 0.68 |
Lothar Thiele | 2 | 0 | 1.01 |
Mehdi Kargahi | 3 | 24 | 2.12 |