Research on body sensor networks in cold region

Kai Lin, Chin-Feng Lai, Min Chen

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

Abstract

Using body sensor networks (BodyNets) to monitoring the human health is increasingly emerging as a dominant application framework for the evolving sensor network technology. In this paper, we explore how to promote such network work in cold region. Different to the ordinary region, sensors not only need to collect sensory data of human characteristic but also accurately monitor the surround environment of the target human. Specially, the monitoring objectives are affected by the combined effects of many parameters, such as the movement of target human and uncertainty of nature. These parameters are featured in vague and many-to-many association etc, which make the monitoring process in high complexity. We analyze the requirement of Bodynets during the process of monitoring health condition, and design an adaptable system model. Moreover, we use distributed Bayesian estimation to eliminate the inaccuracy of sensory information with the consideration of time and spatial distribution effects on monitoring process. The experiment result show that our design can efficiently guarantee the information accuracy of monitoring objective.

Original languageEnglish
Title of host publication2011 IEEE International Conference on Communications, ICC 2011
DOIs
Publication statusPublished - 2011 Sep 2
Event2011 IEEE International Conference on Communications, ICC 2011 - Kyoto, Japan
Duration: 2011 Jun 52011 Jun 9

Publication series

NameIEEE International Conference on Communications
ISSN (Print)0536-1486

Other

Other2011 IEEE International Conference on Communications, ICC 2011
CountryJapan
CityKyoto
Period11-06-0511-06-09

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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