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

abstract

• 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. 2010 IEEE.

name of conference

• 2010 IEEE International Conference on Communications

authors

• Zhang, Xi

published proceedings

• 2010 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS

author list (cited authors)

• Wei, J., & Zhang, X. i.

citation count

• 4

complete list of authors

• Wei, Jin||Zhang, Xi

publication date

• May 2010

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• 2013 National Conference on Communications, NCC 2013  Journal

keywords

• Cardinality Balanced Multi-bernoulli (cbmember) Filter
• Data Fusion
• Mobile Multiple Targets Tracking (mmtt)
• Particle Swarm Optimization (pso)
• Wireless Camera Sensor Network (wcsn)

Digital Object Identifier (DOI)

• 10.1109/icc.2010.5502158

International Standard Book Number (ISBN) 13

• 9781424464043

start page

• 1

end page

• 5

URL

• http%3A%2F%2Fdx.doi.org%2F10.1109%2Ficc.2010.5502158