Efficient smart healthcare using multicore technology
by K. Niranjana Devi
International Journal of Telemedicine and Clinical Practices (IJTMCP), Vol. 2, No. 2, 2017

Abstract: Health is the hard reality time constrained domain. Queuing system, delay in treatment, difficult to treat rural people, disability to do remote treatment are the major issues in current healthcare. Internet of things (IoT) allows caring of people from remote locations. Processing of medical data efficiently is necessary to avoid severe effects. To improve efficiency multicore technology is included with IoT. In this paper, task level parallelism (TLP) is applied to process different health parameters in parallel. TLP exploits available resources in an optimal way. It makes our system as more efficient. The simulation result shows 89% resource utilisation and decreased load time as 0.35 milliseconds. Proposed system also reduces power consumption of the devices. This will increase the life time of the sensor network.

Online publication date: Tue, 25-Apr-2017

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Telemedicine and Clinical Practices (IJTMCP):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com