Secure target localisation in sensor networks using relaxation labelling
by Chih-Chieh Geoff Chang, Wesley E. Snyder, Cliff Wang
International Journal of Sensor Networks (IJSNET), Vol. 4, No. 3, 2008

Abstract: In this paper, a new strategy is proposed to defend against colluding malicious nodes in a sensor network. The strategy is based on a new relaxation labelling algorithm to classify nodes into benign or malicious ones. Only reports from benign nodes can then be used to perform localisation and obtain accurate results. Experimental results based on simulations and field experiments illustrate the performance of the algorithm.

Online publication date: Thu, 18-Dec-2008

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