By Topic

Efficient Node Collaboration for Mobile Multi-Target Tracking Using Two-Tier Wireless Camera Sensor Networks

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
J. Wei ; Dept. of Electr. & Comput. Eng., Texas A&M Univ., College Station, TX, USA ; X. Zhang

To address the Mobile Multiple Targets Tracking (MMTT) problem, we propose the two-tier Wireless Camera Sensor Network (WCSN) and the corresponding the sensor collaboration scheme, which is developed by the Cardinality Balanced Multi-Bernoulli (CBMeMBer) filtering algorithm. In our proposed scheme, at each time step the tracked targets are regrouped, and the sensor with the best view of each group of the tracked targets is selected as the new Cluster Head (CH), which activates the sensors located within their communication ranges to be the cluster members. Furthermore, we also extend the single-directional WCSN to multiple-directional WCSN to improve the target-location estimate accuracy. Our simulation results validate the performances of our proposed dynamic node collaboration scheme.

Published in:

Communications (ICC), 2010 IEEE International Conference on

Date of Conference:

23-27 May 2010