Reducing energy consumption with batched task executions

Kenichi Yasukata, Tetsuro Horikawa, Michio Honda, Hideyuki Tokuda

研究成果: Conference contribution

抜粋

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.

元の言語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
出版物ステータスPublished - 2012 12 1
イベント10th ACM Conference on Embedded Networked Sensor Systems, SenSys 2012 - Toronto, ON, Canada
継続期間: 2012 11 62012 11 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
Canada
Toronto, ON
期間12/11/612/11/9

ASJC Scopus subject areas

  • Computer Networks and Communications

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  • これを引用

    Yasukata, K., Horikawa, T., Honda, M., & Tokuda, H. (2012). Reducing energy consumption with batched task executions. : SenSys 2012 - Proceedings of the 10th ACM Conference on Embedded Networked Sensor Systems (pp. 343-344). (SenSys 2012 - Proceedings of the 10th ACM Conference on Embedded Networked Sensor Systems). https://doi.org/10.1145/2426656.2426699