An efficient distributed localisation algorithm for wireless sensor networks: based on smart reference-selection method Online publication date: Sun, 05-May-2013
by Adnan M. Abu-Mahfouz; Gerhard P. Hancke
International Journal of Sensor Networks (IJSNET), Vol. 13, No. 2, 2013
Abstract: Determining the location of nodes is a key part of wireless sensor networks (WSNs). Many WSN applications require knowledge of nodes' locations to perform their functions successfully. Several localisation algorithms rely on using all or most of the available references to enhance their performance. However, to implement an efficient localisation algorithm for WSNs one should reconsider this assumption. This paper introduces an efficient localisation algorithm that is based on a novel smart reference-selection method. This method chooses only those references that would increase the overall localisation accuracy, and it also minimises the number of iterations needed to refine the accuracy of the estimated position. Simulation results confirm that, compared to existing approaches, the proposed reference selection technique and associated localisation algorithm achieves both reliable and accurate position estimate using a minimal number of references. This decreases the computational burden of gathering and analysing location data from the high number of references previously believed to be necessary.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
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:
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