Reducing energy consumption with batched task executions
説明
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.
収録刊行物
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- Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems
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Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems 343-344, 2012-11-06
ACM