A weighted centroid correction method for wireless sensor network based on GSO algorithm
by Dahui Li; Yunfei Bai; Zhenghe Cao; Zaopeng Cai
International Journal of Sensor Networks (IJSNET), Vol. 33, No. 3, 2020

Abstract: To overcome the ambiguity of the location information of wireless sensor network nodes and lead to the low accuracy of weighted centroid localisation results, a new weighted centroid correction method based on group search optimiser (GSO) algorithm for wireless sensor networks is proposed in this paper. This method randomly drops sensor nodes into the area to be monitored to form a wireless sensor network. The experimental results show that the network coverage is close to 100%, the energy consumption per unit during receiving and transmitting accounts for 0.31% of the total battery. The absolute positioning error of each node is 6-8.5 m, which can achieve the expected goal of this study.

Online publication date: Fri, 17-Jul-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 Sensor Networks (IJSNET):
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