Energy-efficient information-driven coverage for physical movement monitoring in body sensor networks

Hassan Ghasemzadeh, Eric Guenterberg, Roozbeh Jafari

Research output: Contribution to journalArticlepeer-review

46 Scopus citations

Abstract

Advances in technology have led to the development of various light-weight sensor 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 introduce the notion of compatibility graphs and describe how they can be utilized for power optimization. We first formulate an action coverage problem that will consider the sensing coverage from a collaborative signal processing perspective. Our solution is capable of eliminating redundant sensor nodes while maintaining the quality of service. 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. Moreover, we present a system for dynamically activating and deactivating sensor nodes in real time. We then use our graph representation to develop an efficient formulation for maximum lifetime. This formulation provides sufficient information for finding activation duties for each sensor node. Finally, we demonstrate the effectiveness of our techniques on data collected from several subjects.

Original languageEnglish (US)
Article number4740886
Pages (from-to)58-69
Number of pages12
JournalIEEE Journal on Selected Areas in Communications
Volume27
Issue number1
DOIs
StatePublished - Jan 2009
Externally publishedYes

Keywords

  • Body sensor networks
  • Classification
  • Information coverage
  • Physical movement monitoring
  • Power optimization
  • Signal processing

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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