Distributed computing using SMART sensors in industrial automation framework
by Naveen Kumar Singa; Nilesh Jadhav; Bony Mathew
International Journal of Forensic Software Engineering (IJFSE), Vol. 1, No. 2/3, 2020

Abstract: Transition from single node computing to complex distributed computing environments has proven its efficiency in the computer networks especially in executing heavy computational tasks. The sensors on the shop/factory floor have become smart with additional computational capabilities compared to passive acquisition nodes. We merged these two entities and evaluated the distributed computing of PLC load on SMART sensors on an industrial automation framework. We have utilised SoC (Raspberry Pi) to build a SMART sensor which has allowed us to create a distributed and scalable sensor network structure. This structure in conjunction with state-of-the-art industrial automation network improves the performance of the automation networks.

Online publication date: Mon, 26-Oct-2020

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 Forensic Software Engineering (IJFSE):
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