Range-based localisation algorithms integrated with the probability of ranging error in wireless sensor networks
by Jianying Zheng; Yan Huang; Yiming Wang; Yang Xiao; C.L. Philip Chen
International Journal of Sensor Networks (IJSNET), Vol. 15, No. 1, 2014

Abstract: In wireless sensor networks (WSNs), location information is regarded as essential information to achieve intelligent monitoring and control. Recently, a large number of range-based localisation algorithms were proposed. Nearly, all of the algorithms are based on least square method, in which the sum of all ranging error is treated as the performance index. The disadvantage is ignoring the probability characteristics of ranging error. This paper aims to integrate the ranging characteristic to improve the localisation accuracy. First, introducing a probability factor represents the credibility of distance measurement. Then, the probability factor is integrated into the optimised performance index, and the location of unknown sensor node are estimated and calculated. In addition, the method of determining the probability factor of the ranging information is also provided. Finally, we have performed many simulations to validate the performance of the localisation algorithms proposed. Experimental results show that the localisation accuracy is improved.

Online publication date: Sun, 12-Oct-2014

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