A greedy buffer allocation algorithm for power-aware communication in body sensor networks

Hassan Ghasemzadeh, Roozbeh Jafari

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

3 Scopus citations

Abstract

Monitoring human movements using wireless sensory devices promises to revolutionize the delivery of healthcare services. In spite of their potentials for many application domains, power requirements and wearability have limited the commercialization of these systems. In this paper, we propose a novel approach for optimizing communication energy by reducing inter-node data transmissions. This is accomplished by introducing buffers that limit communication to short bursts, and therefore decrease power usage and simplify the communication. Our buffer allocation is a greedy algorithm that can operate both in a centralized and distributed architecture. We experimentally demonstrate the effectiveness of our power reduction techniques. Our results show that, compared with an unbuffered system, our system achieves more than 30% reduction in energy consumption.

Original languageEnglish (US)
Title of host publicationEmbedded Systems Week 2010 - Proceedings of the 8th IEEE/ACM/IFIP International Conference on Compilers, Architecture and Synthesis for Embedded Systems, CODES+ISSS'10
Pages195-204
Number of pages10
DOIs
StatePublished - 2010
Externally publishedYes
Event6th Embedded Systems Week, ESWEEK 2010 - 8th IEEE/ACM International Conference on Hardware/Software-Co-Design and System Synthesis, CODES+ISSS'10 - Scottsdale, AZ, United States
Duration: Oct 24 2010Oct 29 2010

Publication series

NameEmbedded Systems Week 2010 - Proceedings of the 8th IEEE/ACM/IFIP International Conference on Compilers, Architecture and Synthesis for Embedded Systems, CODES+ISSS'2010

Other

Other6th Embedded Systems Week, ESWEEK 2010 - 8th IEEE/ACM International Conference on Hardware/Software-Co-Design and System Synthesis, CODES+ISSS'10
Country/TerritoryUnited States
CityScottsdale, AZ
Period10/24/1010/29/10

Keywords

  • Body sensor networks
  • Buffer allocation
  • Collaborative signal processing
  • Communication
  • Energy

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Software
  • Electrical and Electronic Engineering

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