.png){kind=icon}
.png){kind=icon}
Return
A weighted centroid correction method for wireless sensor network based on GSO algorithm
.png){kind=icon}
PRE
AI
DOI：10.1504/IJSNET.2020.108562.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
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.
Keywords:
GSO algorithm
wireless sensor network
node coordinates
weighted centroid correction
location information
energy consumption
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
1.1
Papers:
237
Citations:
460