TY - GEN
T1 - Tracking with particle filtering in tertiary wireless sensor networks
AU - Djurić, Petar M.
AU - Vemula, Mahesh
AU - Bugallo, Mónica F.
PY - 2005
Y1 - 2005
N2 - Recent advances of wireless sensor networks have presented some very interesting problems for signal processing. For practical reasons, many networks are composed of simple sensors that use very little power and do not consume much communication bandwidth. A class of sensors that satisfy these requirements are the tertiary sensors. They report an approaching event with one signal and a receding event with another signal. When the event is out of their range, they do not report anything. In this paper, we apply particle filtering for processing signals from tertiary sensor networks with the purpose of tracking events (targets) within the field of the sensor network. We present an algorithm for tracking and demonstrate its performance by computer simulations.
AB - Recent advances of wireless sensor networks have presented some very interesting problems for signal processing. For practical reasons, many networks are composed of simple sensors that use very little power and do not consume much communication bandwidth. A class of sensors that satisfy these requirements are the tertiary sensors. They report an approaching event with one signal and a receding event with another signal. When the event is out of their range, they do not report anything. In this paper, we apply particle filtering for processing signals from tertiary sensor networks with the purpose of tracking events (targets) within the field of the sensor network. We present an algorithm for tracking and demonstrate its performance by computer simulations.
UR - https://www.scopus.com/pages/publications/33646814775
U2 - 10.1109/ICASSP.2005.1416119
DO - 10.1109/ICASSP.2005.1416119
M3 - Conference contribution
SN - 0780388747
SN - 9780780388741
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - IV757-IV760
BT - 2005 IEEE ICASSP '05 - Proc. - Design and Implementation of Signal Proces.Syst.,Indust. Technol. Track,Machine Learning for Signal Proces. Signal Proces. Education, Spec. Sessions
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05
Y2 - 18 March 2005 through 23 March 2005
ER -