Abstract
As the Internet of Things (IoT) becomes more and more complex, more and more IoT devices begin to use heterogeneous multi-core system on chip (SoC). To solve the problem of high energy consumption caused by using such chips, a three-level task scheduling algorithm for frame-based task is proposed. By combining heuristic method and convex optimization theory, the algorithm has a shorter execution time while achieving near-optimal energy consumption. Simulation results show that compared with some heuristic algorithms, the energy consumption of the algorithm is reduced by 10% to 20%, which is close to the theoretical optimal energy consumption; compared with other algorithms that are also based on convex optimization theory, which have similar energy consumption, the algorithm execution time is reduced 68% 76%.
| Original language | English |
|---|---|
| Title of host publication | 2020 International Wireless Communications and Mobile Computing, IWCMC 2020 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1404-1409 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781728131290 |
| DOIs | |
| State | Published - Jun 2020 |
| Event | 16th IEEE International Wireless Communications and Mobile Computing Conference, IWCMC 2020 - Limassol, Cyprus Duration: 15 Jun 2020 → 19 Jun 2020 |
Publication series
| Name | 2020 International Wireless Communications and Mobile Computing, IWCMC 2020 |
|---|
Conference
| Conference | 16th IEEE International Wireless Communications and Mobile Computing Conference, IWCMC 2020 |
|---|---|
| Country/Territory | Cyprus |
| City | Limassol |
| Period | 15/06/20 → 19/06/20 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Internet of Things
- energy-saving scheduling
- heterogeneous systems
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