Fuzzy clustering-based genetic evolutionary algorithm for 5G wireless sensor re-localisation
by Vishal B. Patil; Ninad More
International Journal of Embedded Systems (IJES), Vol. 16, No. 2, 2023

Abstract: Traffic analysis is required for successful packet transmission from source to destination after receiving network acknowledgement. Sensor nodes must send position information to nearby nodes, reducing accuracy and performance. However, precise node location determination improves network performance. This paper proposes a fuzzy clustering-based genetic evolutionary (FCGE) algorithm for effective re-localisation in heavy traffic. It chooses the best node for re-localisation, reducing network traffic, communication costs, and localisation inaccuracy. A proper intelligent re-localisation method is used within a predetermined time frame to avoid localisation errors. To determine the optimal retrigger time, the genetic algorithm uses time-bound re-localisation (TBR). It is more accurate even with many node migrations, so localisation errors are reduced. Fuzzy k-means improves network data collection by creating disjoint clusters and global time synchronisation for mobile agents. The proposed FCGE algorithm reduced RMSPE by 13.26%, 9.65%, and 6.78% for 5, 10, and 20 anchor nodes, respectively.

Online publication date: Wed, 31-Jan-2024

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 Embedded Systems (IJES):
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