Scheduled System Maintenance:
Some services will be unavailable Sunday, March 29th through Monday, March 30th. We apologize for the inconvenience.
By Topic

Effective Algorithms for WSN With Weight Principle in Web of Things

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Zhao Ju-Min ; Inf. Eng. Coll., Taiyuan Univ. of Technol., Taiyuan, China ; An Wen-Xiu ; Li Deng-Ao ; Zhao Dong-Dong
more authors

Wireless sensor networks (WSNs) are widely used in variety fields, especially in the Web of Things. The sensor localization information is important for the capability of it. The centroid algorithm is a kind of no ranging location algorithm, which is widely used in the positioning in WSN. To improve the positioning accuracy, this paper puts forward an improved weighted centroid algorithm, then self-corrected. We take any four beacon nodes to improve the node localization accuracy, retaining the simplicity of algorithm and saving nodes energy. These four beacon nodes compose a quadrangle, which is then divided into two triangles to seek centroids and get their average values. Thereafter, we measure each beacon node and empower the values, then use the centroid localization algorithm again to locate object nodes. The simulations show that the algorithm effectively improves the positioning accuracy of the unknown nodes.

Published in:

Sensors Journal, IEEE  (Volume:14 ,  Issue: 1 )