Collaborative multi-sensor tracking in mobile wireless sensor networks
by Xinrong Li
International Journal of Sensor Networks (IJSNET), Vol. 8, No. 3/4, 2010

Abstract: Sensor localisation and tracking is an important research topic in sensor networks. Collaboration of resource-constrained sensor nodes is extremely important to achieving substantial sensing and processing capability in the aggregate and to providing collectively reliable network behaviour in mission-critical applications. We propose a collaborative multi-sensor tracking (CMST) method for sensor networks and demonstrate through posterior Cramer-Rao bound (PCRB) analysis that sensors' mobility and collaboration can be exploited to significantly improve sensor localisation performance. We also propose a novel adaptive particle filtering algorithm AP-RPF and demonstrate its superior performance through simulation results.

Online publication date: Wed, 27-Oct-2010

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