A green cloud-assisted health monitoring service on wireless body area networks

Hua Pei Chiang, Chin-Feng Lai, Yueh-Min Huang

Research output: Contribution to journalArticle

14 Citations (Scopus)

Abstract

As cloud computing and wireless body sensor network (WBAN) technologies mature, relevant applications have grown more and more popular in recent years. The healthcare field is one of the popular applications for this technology that adopts sensor devices to sense signals of negative physiological events, and to notify users. The development and implementation of long-term healthcare monitoring that can prevent or quickly respond to the occurrence of disease and accidents present an interesting challenge for computing power and energy limits. This study proposed a green cloud-assisted healthcare service on WBAN, and considered the sensing frequency of the physiological signals of various body parts, as well as the data transmission among the sensor nodes of WBAN. The cloud-assisted healthcare service regulates the sensing frequency of nodes by considering the overall WBAN environment and the sensing variations of body parts. The experimental results show that the proposed service can effectively transmit the sensing data and prolong the overall lifetime of WBAN.

Original languageEnglish
Pages (from-to)118-129
Number of pages12
JournalInformation sciences
Volume284
DOIs
Publication statusPublished - 2014 Nov 10

Fingerprint

Health Monitoring
Healthcare
Sensing
Health
Body sensor networks
Monitoring
Cloud computing
Sensor nodes
Data communication systems
Wireless sensor networks
Accidents
Sensor
Sensors
Vertex of a graph
Data Transmission
Cloud Computing
Sensor Networks
Lifetime
Computing
Experimental Results

All Science Journal Classification (ASJC) codes

  • Software
  • Control and Systems Engineering
  • Theoretical Computer Science
  • Computer Science Applications
  • Information Systems and Management
  • Artificial Intelligence

Cite this

@article{8989189ef9394c59be04d9fd1b94ea76,
title = "A green cloud-assisted health monitoring service on wireless body area networks",
abstract = "As cloud computing and wireless body sensor network (WBAN) technologies mature, relevant applications have grown more and more popular in recent years. The healthcare field is one of the popular applications for this technology that adopts sensor devices to sense signals of negative physiological events, and to notify users. The development and implementation of long-term healthcare monitoring that can prevent or quickly respond to the occurrence of disease and accidents present an interesting challenge for computing power and energy limits. This study proposed a green cloud-assisted healthcare service on WBAN, and considered the sensing frequency of the physiological signals of various body parts, as well as the data transmission among the sensor nodes of WBAN. The cloud-assisted healthcare service regulates the sensing frequency of nodes by considering the overall WBAN environment and the sensing variations of body parts. The experimental results show that the proposed service can effectively transmit the sensing data and prolong the overall lifetime of WBAN.",
author = "Chiang, {Hua Pei} and Chin-Feng Lai and Yueh-Min Huang",
year = "2014",
month = "11",
day = "10",
doi = "10.1016/j.ins.2014.07.013",
language = "English",
volume = "284",
pages = "118--129",
journal = "Information Sciences",
issn = "0020-0255",
publisher = "Elsevier Inc.",

}

A green cloud-assisted health monitoring service on wireless body area networks. / Chiang, Hua Pei; Lai, Chin-Feng; Huang, Yueh-Min.

In: Information sciences, Vol. 284, 10.11.2014, p. 118-129.

Research output: Contribution to journalArticle

TY - JOUR

T1 - A green cloud-assisted health monitoring service on wireless body area networks

AU - Chiang, Hua Pei

AU - Lai, Chin-Feng

AU - Huang, Yueh-Min

PY - 2014/11/10

Y1 - 2014/11/10

N2 - As cloud computing and wireless body sensor network (WBAN) technologies mature, relevant applications have grown more and more popular in recent years. The healthcare field is one of the popular applications for this technology that adopts sensor devices to sense signals of negative physiological events, and to notify users. The development and implementation of long-term healthcare monitoring that can prevent or quickly respond to the occurrence of disease and accidents present an interesting challenge for computing power and energy limits. This study proposed a green cloud-assisted healthcare service on WBAN, and considered the sensing frequency of the physiological signals of various body parts, as well as the data transmission among the sensor nodes of WBAN. The cloud-assisted healthcare service regulates the sensing frequency of nodes by considering the overall WBAN environment and the sensing variations of body parts. The experimental results show that the proposed service can effectively transmit the sensing data and prolong the overall lifetime of WBAN.

AB - As cloud computing and wireless body sensor network (WBAN) technologies mature, relevant applications have grown more and more popular in recent years. The healthcare field is one of the popular applications for this technology that adopts sensor devices to sense signals of negative physiological events, and to notify users. The development and implementation of long-term healthcare monitoring that can prevent or quickly respond to the occurrence of disease and accidents present an interesting challenge for computing power and energy limits. This study proposed a green cloud-assisted healthcare service on WBAN, and considered the sensing frequency of the physiological signals of various body parts, as well as the data transmission among the sensor nodes of WBAN. The cloud-assisted healthcare service regulates the sensing frequency of nodes by considering the overall WBAN environment and the sensing variations of body parts. The experimental results show that the proposed service can effectively transmit the sensing data and prolong the overall lifetime of WBAN.

UR - http://www.scopus.com/inward/record.url?scp=84906782397&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84906782397&partnerID=8YFLogxK

U2 - 10.1016/j.ins.2014.07.013

DO - 10.1016/j.ins.2014.07.013

M3 - Article

VL - 284

SP - 118

EP - 129

JO - Information Sciences

JF - Information Sciences

SN - 0020-0255

ER -