Reducing energy consumption with batched task executions

Kenichi Yasukata, Tetsuro Horikawa, Michio Honda, Hideyuki Tokuda

研究成果: Conference contribution

抄録

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.

本文言語English
ホスト出版物のタイトルSenSys 2012 - Proceedings of the 10th ACM Conference on Embedded Networked Sensor Systems
ページ343-344
ページ数2
DOI
出版ステータスPublished - 2012
外部発表はい
イベント10th ACM Conference on Embedded Networked Sensor Systems, SenSys 2012 - Toronto, ON, Canada
継続期間: 2012 11月 62012 11月 9

出版物シリーズ

名前SenSys 2012 - Proceedings of the 10th ACM Conference on Embedded Networked Sensor Systems

Other

Other10th ACM Conference on Embedded Networked Sensor Systems, SenSys 2012
国/地域Canada
CityToronto, ON
Period12/11/612/11/9

ASJC Scopus subject areas

  • コンピュータ ネットワークおよび通信

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