Design and implementation of energy efficient reconfigurable networks (WORN-DEAR) for BAN in IOT environment (BIOT)
by P. Kumaresan; Manoharan Prabukumar
International Journal of Reasoning-based Intelligent Systems (IJRIS), Vol. 10, No. 3/4, 2018

Abstract: Embedded systems are pervasive with the advent of internet of things. This has led smart devices to be omnipotent. Even though the technology becomes omnipotent, several research problems arise in design and implementation. Here, we have concentrated on the low power healthcare system based on body area networks (BAN) in which the technology embeds the body area networks with internet of things (IOT) which can be jointly coined as BAN internet of things (BIOT). BIOT finds application as wearable devices for monitoring and care giving systems for patients. Due to BIOTs nature of omnipotent application in the healthcare, maintaining its life time remains in the darker side of the research. To overcome this problem, a new algorithm for the BIOT called wake-on reconfigurable networks (WORN) has been proposed. The proposed algorithm works on the distance energy adaptive rule (DEAR) rule sets. By increasing the life time of the devices, BIOT with WORN-DEAR power model will be the bridge between the human and the machine interface.

Online publication date: Mon, 19-Nov-2018

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 Reasoning-based Intelligent Systems (IJRIS):
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