The University of Southampton
University of Southampton Institutional Repository
Warning ePrints Soton is experiencing an issue with some file downloads not being available. We are working hard to fix this. Please bear with us.

Enabling technologies for distributed body sensor networks

Enabling technologies for distributed body sensor networks
Enabling technologies for distributed body sensor networks
Low Power Wireless Sensor Networks, Preventative Healthcare and Pervasive Systems are set to provide long-term continuous monitoring, diagnosis and care for patients in
the next few years. Distributed forms of these networks are investigated from a holistic point of view. Individual components of these systems including: sensors, software and
hardware implementations are investigated and analysed. Novel sensors are developed for low power capturing of Body Sensor Network (BSN) information to enable long term
use. Software frameworks are designed to enable these technologies to run on low power nodes as well as enabling them to perform evaluation of their data before transmission
into the network. An architecture is designed to enable task distribution to intensive processing from low power nodes. Two forms of distributed BSNs are also developed:
a horizontal network and a vertical network. It is shown that using these two types of networks enables information and task distribution allowing low power sensing nodes
to evaluate information before transmission. These systems have the opportunity to revolutionalise expensive acute episodic care systems of today, but are not currently
being implemented or investigated to the extent that they could. The technological barriers to entry are addressed in this thesis with the investigation and evaluation of
distributed body sensor networks. It is shown that horizontal networks can distribute information eficiently, while vertical networks can distribute processing eficiently.
De Jager, Dirk
b8ffaecd-3398-4220-9f8a-df0634a4d9a7
De Jager, Dirk
b8ffaecd-3398-4220-9f8a-df0634a4d9a7
Reeve, Jeff
dd909010-7d44-44ea-83fe-a09e4d492618

De Jager, Dirk (2012) Enabling technologies for distributed body sensor networks. University of Southampton, Faculty of Physical and Applied Sciences, Doctoral Thesis, 210pp.

Record type: Thesis (Doctoral)

Abstract

Low Power Wireless Sensor Networks, Preventative Healthcare and Pervasive Systems are set to provide long-term continuous monitoring, diagnosis and care for patients in
the next few years. Distributed forms of these networks are investigated from a holistic point of view. Individual components of these systems including: sensors, software and
hardware implementations are investigated and analysed. Novel sensors are developed for low power capturing of Body Sensor Network (BSN) information to enable long term
use. Software frameworks are designed to enable these technologies to run on low power nodes as well as enabling them to perform evaluation of their data before transmission
into the network. An architecture is designed to enable task distribution to intensive processing from low power nodes. Two forms of distributed BSNs are also developed:
a horizontal network and a vertical network. It is shown that using these two types of networks enables information and task distribution allowing low power sensing nodes
to evaluate information before transmission. These systems have the opportunity to revolutionalise expensive acute episodic care systems of today, but are not currently
being implemented or investigated to the extent that they could. The technological barriers to entry are addressed in this thesis with the investigation and evaluation of
distributed body sensor networks. It is shown that horizontal networks can distribute information eficiently, while vertical networks can distribute processing eficiently.

Text
Thesis.pdf - Other
Download (12MB)

More information

Published date: June 2012
Organisations: University of Southampton, Electronics & Computer Science

Identifiers

Local EPrints ID: 340622
URI: http://eprints.soton.ac.uk/id/eprint/340622
PURE UUID: 83c961ba-af9a-4bfb-b656-6fabab4932e5

Catalogue record

Date deposited: 13 Aug 2012 15:36
Last modified: 20 Nov 2021 12:21

Export record

Contributors

Author: Dirk De Jager
Thesis advisor: Jeff Reeve

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×