TY - GEN
T1 - Real-time self-tracking in the Internet of Things
AU - Geng, Li
AU - Bugallo, Monica F.
AU - Athalye, Akshay
AU - Djuric, Petar M.
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/8/4
Y1 - 2015/8/4
N2 - We investigate the problem of real-time self-tracking of tagged objects in a new system with low-cost 'smart' tags. These tiny and battery-less devices will play a pivotal role in the infrastructure of the Internet of Things (IoT). With capabilities of low-power computation and tag-to-tag backscattered communication, no readers will be needed for running the Radio Frequency Identification (RFID) system. In order to allow for low-cost tags, self-tracking has to be performed with simple algorithms while still exhibiting high accuracy. In this paper we propose a linear observation model for which Kalman filtering (KF) is the optimal method. We also consider a nonlinear model for which we apply particle filtering (PF) of reduced complexity as the tracking method. The performance and computational complexity of the different methods are compared by computer simulations.
AB - We investigate the problem of real-time self-tracking of tagged objects in a new system with low-cost 'smart' tags. These tiny and battery-less devices will play a pivotal role in the infrastructure of the Internet of Things (IoT). With capabilities of low-power computation and tag-to-tag backscattered communication, no readers will be needed for running the Radio Frequency Identification (RFID) system. In order to allow for low-cost tags, self-tracking has to be performed with simple algorithms while still exhibiting high accuracy. In this paper we propose a linear observation model for which Kalman filtering (KF) is the optimal method. We also consider a nonlinear model for which we apply particle filtering (PF) of reduced complexity as the tracking method. The performance and computational complexity of the different methods are compared by computer simulations.
KW - Internet of Things (IoT)
KW - Radio Frequency Identification (RFID)
KW - real-time tracking
KW - tag-to-tag communication
UR - https://www.scopus.com/pages/publications/84946077114
U2 - 10.1109/ICASSP.2015.7179025
DO - 10.1109/ICASSP.2015.7179025
M3 - Conference contribution
AN - SCOPUS:84946077114
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 5510
EP - 5514
BT - 2015 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015
Y2 - 19 April 2014 through 24 April 2014
ER -