Reducing energy consumption with batched task executions

Kenichi Yasukata, Tetsuro Horikawa, Michio Honda, Hideyuki Tokuda

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish
Title of host publicationSenSys 2012 - Proceedings of the 10th ACM Conference on Embedded Networked Sensor Systems
Pages343-344
Number of pages2
DOIs
Publication statusPublished - 2012 Dec 1
Event10th ACM Conference on Embedded Networked Sensor Systems, SenSys 2012 - Toronto, ON, Canada
Duration: 2012 Nov 62012 Nov 9

Publication series

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

Other

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

Keywords

  • Operating system
  • Real-time and embedded systems

ASJC Scopus subject areas

  • Computer Networks and Communications

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