Energy-optimal batching periods for asynchronous multistage data processing on sensor nodes: Foundations and an mPlatform case study

Qing Cao, Dong Wang, Tarek Abdelzaher, Bodhi Priyantha, Jie Liu, Feng Zhao

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

Abstract

This paper derives energy-optimal batching periods for asynchronous multistage data processing on sensor nodes in the sense of minimizing energy consumption while meeting end-to-end deadlines. Batching the processing of (sensor) data maximizes processor sleep periods, hence minimizing the wakeup frequency and the corresponding overhead. The algorithm is evaluated on mPlatform, a next-generation heterogeneous sensor node platform equipped with both a low-end microcontroller (MSP430) and a higher-end embedded systems processor (ARM). Experimental results show that the total energy consumption of mPlatform, when processing data flows at their optimal batching periods, is up to 35% lower than that for uniform period assignment. Moreover, processing data at the appropriate processor can use as much as 80% less energy than running the same task set on the ARM alone and 25% less energy than running the task set on the MSP430 alone.

Original languageEnglish (US)
Title of host publicationProceedings of the 16th IEEE Real-Time and Embedded Technology and Applications Symposium, RTAS 2010
Pages101-110
Number of pages10
DOIs
StatePublished - 2010
Event16th IEEE Real-Time and Embedded Technology and Applications Symposium, RTAS 2010 - Stockholm, Sweden
Duration: Apr 12 2010Apr 15 2010

Publication series

NameReal-Time Technology and Applications - Proceedings
ISSN (Print)1080-1812

Other

Other16th IEEE Real-Time and Embedded Technology and Applications Symposium, RTAS 2010
CountrySweden
CityStockholm
Period4/12/104/15/10

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Software

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