Localisation of multiple mobile subjects using multidimensional scaling and sensor fusion Online publication date: Thu, 22-Nov-2012
by Weihua Sheng; Ravi K. Garimella
International Journal of Ad Hoc and Ubiquitous Computing (IJAHUC), Vol. 11, No. 4, 2012
Abstract: This paper develops innovative algorithms to track multiple mobile subjects in a wireless ad hoc network. First, we enhance an existing Multidimensional Scaling (MDS) based localisation algorithm with beacon selection in the absolute mapping process. Second, a Dynamic Multidimensional Scaling (DMDS) algorithm is developed based on that enhanced localisation algorithm. Third, a sensor fusion approach is proposed to integrate the estimates from dead reckoning and the DMDS algorithm. Finally, to further improve the sensor fusion results, we use adaptive fusion weights between the dead reckoning estimates and the DMDS estimates. Simulation results are provided to validate the proposed algorithms.
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 Ad Hoc and Ubiquitous Computing (IJAHUC):
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