Abstract
In sensing systems, data compression is a promised way to save energy because it reduces the rate of data transmission, but less attention has been paid to the underlying task scheduling algorithms. We present a Double Rate Bundle Scheduling algorithm (DRBS) that maximizes the sleep state period of the CPU to reduce energy consumption. Our prototype implementation in a Mote device improves energy efficiency up to 8% compared to existing algorithms.
Original language | English |
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Title of host publication | Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems |
Place of Publication | New York, NY, USA |
Publisher | ACM Association for Computing Machinery |
Pages | 343–344 |
Number of pages | 2 |
ISBN (Print) | 9781450311694 |
DOIs | |
Publication status | Published - 6 Nov 2012 |
Event | 10th ACM Conference on Embedded Network Sensor Systems - Toronto, Canada Duration: 6 Nov 2012 → 9 Nov 2012 Conference number: 10 |
Conference
Conference | 10th ACM Conference on Embedded Network Sensor Systems |
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Abbreviated title | SenSys '12 |
Country/Territory | Canada |
City | Toronto |
Period | 6/11/12 → 9/11/12 |
Keywords
- real-time and embedded systems
- operating system