Highly efficient particle swarm optimisation for energy efficiency in wireless sensor network using energy capping and predictive energy allocation Online publication date: Mon, 12-Jul-2021
by Vandana Reddy; P. Gayathri
International Journal of Biomedical Engineering and Technology (IJBET), Vol. 36, No. 2, 2021
Abstract: WSN has changed the way of life for humans in the due course of technological evolution. The change has led to many improvisations and sophistication in the day-to-day usable devices. These devices help the human in daily routines and now they have been an integral part. More precisely when we consider any smart environment, we use many of the devices that are essential rather than necessities. Some of these devices could be fire sensors, smoke sensors, water level controllers, CCTV and so on. These devices are energy critical and need power source. Thus the swarm optimisation techniques are required to help find an efficient approach for energy optimisation problem in WSN. Hence, it is critical for us to devise an energy conservation mechanism using highly accurate particle swarm optimisation (PSO) in these sensors and devise an algorithm energy capping and predictive energy allocation (EC-PEA).
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
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 Biomedical Engineering and Technology (IJBET):
Login with your Inderscience username and 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
Our Blog 
Follow us on Twitter 
Visit us on Facebook