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A low-power opportunistic communication protocol for wearable applications
File | Description | Size | Format | |
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oadc-bsn2015.pdf | Accepted version | 2.12 MB | Adobe PDF | View/Open |
Title: | A low-power opportunistic communication protocol for wearable applications |
Authors: | Gaglione, A Chen, S Lo, B Yang, GZ |
Item Type: | Conference Paper |
Abstract: | © 2015 IEEE.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. |
Issue Date: | 9-Jun-2015 |
Date of Acceptance: | 16-Apr-2015 |
URI: | http://hdl.handle.net/10044/1/24596 |
Publisher: | IEEE |
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. |
Conference Name: | Body Sensor Networks Conference (BSN 2015) |
Publication Status: | Published |
Start Date: | 2015-06-09 |
Finish Date: | 2015-06-12 |
Conference Place: | MIT, Cambridge, MA, USA |
Appears in Collections: | Department of Surgery and Cancer Computing Faculty of Engineering |