A Low-Power Opportunistic Communication Protocol for Wearable Applications
File(s)oadc-bsn2015.pdf (2.07 MB)
Accepted version
Author(s)
Gaglione, A
Chen, S
Lo, B
Yang, GZ
Type
Conference Paper
Abstract
Recent trends in wearable applications demand
flexible architectures being able to monitor people while they
move in free-living environments. Current solutions use either
store-download-offline processing or simple communication
schemes with real-time streaming of sensor data. This limits the
applicability of wearable applications to controlled environments
(e.g, clinics, homes, or laboratories), because they need to
maintain connectivity with the base station throughout the
monitoring process. In this paper, we present the design and
implementation of an opportunistic communication framework
that simplifies the general use of wearable devices in free-living
environments. It relies on a low-power data collection protocol
that allows the end user to opportunistically, yet seamlessly
manage the transmission of sensor data. We validate the
feasibility of the framework by demonstrating its use for
swimming, where the normal wireless communication is
constantly interfered by the environment.
flexible architectures being able to monitor people while they
move in free-living environments. Current solutions use either
store-download-offline processing or simple communication
schemes with real-time streaming of sensor data. This limits the
applicability of wearable applications to controlled environments
(e.g, clinics, homes, or laboratories), because they need to
maintain connectivity with the base station throughout the
monitoring process. In this paper, we present the design and
implementation of an opportunistic communication framework
that simplifies the general use of wearable devices in free-living
environments. It relies on a low-power data collection protocol
that allows the end user to opportunistically, yet seamlessly
manage the transmission of sensor data. We validate the
feasibility of the framework by demonstrating its use for
swimming, where the normal wireless communication is
constantly interfered by the environment.
Date Issued
2015-06-09
Date Acceptance
2015-04-16
Citation
2015
Publisher
To appear
Copyright Statement
© 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Source
12th IEEE International Conference on Wearable and Implantable Body Sensor Networks (BSN)
Publication Status
Published
Start Date
2015-06-09
Finish Date
2015-06-12
Coverage Spatial
MIT, Cambridge, MA, USA