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

Hua Pei Chiang, Chin Feng Lai, Yueh Min Huang

研究成果: Article

18 引文 斯高帕斯(Scopus)

摘要

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.

原文English
頁(從 - 到)118-129
頁數12
期刊Information sciences
284
DOIs
出版狀態Published - 2014 十一月 10

All Science Journal Classification (ASJC) codes

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

指紋 深入研究「A green cloud-assisted health monitoring service on wireless body area networks」主題。共同形成了獨特的指紋。

  • 引用此