Action coverage formulation for power optimization in body sensor networks

Hassan Ghasemzadeh, Eric Guenterberg, Katherine Gilani, Roozbeh Jafari

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

30 Scopus citations

Abstract

Advances in technology have led to the development of various light-weight sensory devices that can be woven into the physical environment of our daily lives. Such systems enable on-body and mobile health-care monitoring. Our interest particularly lies in the area of movement monitoring platforms that operate with inertial sensors. In this paper, we propose a power optimization technique that will consider the sensing coverage problem from a collaborative signal processing perspective. We introduce compatibility graphs and describe how they can be utilized for power optimization. The problem we outline can be transformed into an NP-hard problem. Therefore, we propose an ILP formulation to attain a lower bound on the solution and a fast greedy technique. Along side this, we introduce a system for dynamically activating and deactivating sensor nodes in real-time. Finally, we elucidate the effectiveness of our techniques on data collected from several subjects.

Original languageEnglish (US)
Title of host publication2008 Asia and South Pacific Design Automation Conference, ASP-DAC
Pages446-451
Number of pages6
DOIs
StatePublished - 2008
Externally publishedYes
Event2008 Asia and South Pacific Design Automation Conference, ASP-DAC - Seoul, Korea, Republic of
Duration: Mar 21 2008Mar 24 2008

Publication series

NameProceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC

Other

Other2008 Asia and South Pacific Design Automation Conference, ASP-DAC
Country/TerritoryKorea, Republic of
CitySeoul
Period3/21/083/24/08

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design
  • Electrical and Electronic Engineering

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