3D DV-hop localisation scheme based on particle swarm optimisation in wireless sensor networks
by Xiao Chen; Benliang Zhang
International Journal of Sensor Networks (IJSNET), Vol. 16, No. 2, 2014

Abstract: To improve the node localisation performance of the distance vector-hop (DV-hop) algorithm in the three-dimensional (3D) space, an improved range-free node localisation algorithm in the 3D wireless sensor networks is proposed by analysing the lack of the existing 3D localisation algorithms. After performing the 3D DV-hop algorithm, we use the particle swarm optimisation (PSO) algorithm with the inertia weight to emend unknown nodes' location estimated by the 3D DV-hop algorithm. The simulation results show that the proposed algorithm, in comparison with the original 3D DV-hop algorithm, greatly reduces the localisation error and error variance. It enhances the localisation precision and stability effectively without increasing the additional hardware and communication cost.

Online publication date: Thu, 27-Nov-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