Performance analysis of an activity monitoring system using the SPINE framework

Roberta Giannantonio; Raffaele Gravina; Philip Kuryloski; Ville-Pekka Seppa; Fabio Bellifemine; Jari Hyttinen; Marco Sgroi

3d International ICST Conference on Pervasive Computing Technologies for Healthcare

Research Article

Performance analysis of an activity monitoring system using the SPINE framework

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@INPROCEEDINGS{10.4108/ICST.PERVASIVEHEALTH2009.6004,
    author={Roberta Giannantonio and Raffaele Gravina and Philip Kuryloski and Ville-Pekka Seppa and Fabio Bellifemine and Jari Hyttinen and Marco Sgroi},
    title={Performance analysis of an activity monitoring system using the SPINE framework},
    proceedings={3d International ICST Conference on Pervasive Computing Technologies for Healthcare},
    proceedings_a={PERVASIVEHEALTH},
    year={2009},
    month={8},
    keywords={component; wireless sensor networks performanceanalysis SPINE},
    doi={10.4108/ICST.PERVASIVEHEALTH2009.6004}
}

Roberta Giannantonio
Raffaele Gravina
Philip Kuryloski
Ville-Pekka Seppa
Fabio Bellifemine
Jari Hyttinen
Marco Sgroi
Year: 2009
Performance analysis of an activity monitoring system using the SPINE framework
PERVASIVEHEALTH
ICST
DOI: 10.4108/ICST.PERVASIVEHEALTH2009.6004

Roberta Giannantonio¹, Raffaele Gravina², Philip Kuryloski², Ville-Pekka Seppa³, Fabio Bellifemine¹, Jari Hyttinen³, Marco Sgroi²

1: Telecom Italia, Torino, Italy
2: WSN Lab sponsored by Pirelli and Telecom Italia Berkeley, CA
3: Department of Biomedical Engineering, Tampere University of Technology, Finland

Abstract

SPINE is an Open Source Framework for the design of signal processing intensive (SPI) WSNs. It supports the construction of WSN applications through high-level abstractions and libraries, and allows designers to quickly explore implementation tradeoffs through fast prototyping. This paper describes the architecture of SPINE and presents implementation parameters, such as processing time, memory, bandwidth usage and power consumption that are most relevant for application developers to set tunable parameters and analyze system performance. Finally, the paper presents the performance and the resource usage of a SPINE based posture recognition system for elderly health monitoring.

Keywords: component; wireless sensor networks performanceanalysis SPINE

Published: 2009-08-04

: http://dx.doi.org/10.4108/ICST.PERVASIVEHEALTH2009.6004