Performance analysis of an activity monitoring system using the SPINE framework

Author

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

Author_Institution

Telecom Italia, Torino, Italy

fYear

2009

fDate

1-3 April 2009

Firstpage

1

Lastpage

8

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

health care; performance evaluation; resource allocation; wireless sensor networks; SPINE framework; activity monitoring system; elderly health monitoring; open source framework; performance analysis; posture recognition system; resource usage; signal processing intensive WSN; Bandwidth; Energy consumption; Libraries; Monitoring; Performance analysis; Process design; Prototypes; Signal design; Signal processing; Wireless sensor networks; SPINE; component; performance analysis; wireless sensor networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Pervasive Computing Technologies for Healthcare, 2009. PervasiveHealth 2009. 3rd International Conference on

Conference_Location

London

Print_ISBN

978-963-9799-42-4

Electronic_ISBN

978-963-9799-30-1

Type

conf

DOI

10.4108/ICST.PERVASIVEHEALTH2009.6004

Filename

5191196