TY - GEN
T1 - Node selection for target tracking in UWSNs under measurement origin uncertainty
AU - Zhang, Duo
AU - Liu, Meiqin
AU - Zhang, Senlin
N1 - Publisher Copyright:
© 2016 TCCT.
PY - 2016/8/26
Y1 - 2016/8/26
N2 - Underwater wireless sensor networks (UWSNs) can provide a promising solution for underwater target tracking. Due to the limitation of energy consumption, only a part of nodes are selected to track the target. As we know, most research about node selection for underwater target tracking in UWSNs is carried out under the ideal underwater condition. Actually, the activated sensor nodes may acquire more than one measurement due to clutter. This paper presents a new node selection scheme under measurement origin uncertainty. Firstly, the problem of measurement origin uncertainty is dealt via probabilistic data association filter (PDAF) and the multi-sensor particle filter (PF) under measurement origin uncertainty is designed. Secondly, the relationship between node topology and posterior Cramer-Rao lower bound (PCRLB) is derived to select sensor nodes. Then the node selection scheme is proposed for underwater target tracking under measurement origin uncertainty. Finally, simulation results are presented to verify the effectiveness of our method.
AB - Underwater wireless sensor networks (UWSNs) can provide a promising solution for underwater target tracking. Due to the limitation of energy consumption, only a part of nodes are selected to track the target. As we know, most research about node selection for underwater target tracking in UWSNs is carried out under the ideal underwater condition. Actually, the activated sensor nodes may acquire more than one measurement due to clutter. This paper presents a new node selection scheme under measurement origin uncertainty. Firstly, the problem of measurement origin uncertainty is dealt via probabilistic data association filter (PDAF) and the multi-sensor particle filter (PF) under measurement origin uncertainty is designed. Secondly, the relationship between node topology and posterior Cramer-Rao lower bound (PCRLB) is derived to select sensor nodes. Then the node selection scheme is proposed for underwater target tracking under measurement origin uncertainty. Finally, simulation results are presented to verify the effectiveness of our method.
KW - Measurement Origin Uncertainty
KW - Node Selection
KW - Posterior Cramer-Rao Lower Bound
KW - Underwater Target Tracking
KW - Underwater Wireless Sensor Networks
UR - https://www.scopus.com/pages/publications/84987909404
U2 - 10.1109/ChiCC.2016.7554154
DO - 10.1109/ChiCC.2016.7554154
M3 - 会议稿件
AN - SCOPUS:84987909404
T3 - Chinese Control Conference, CCC
SP - 5154
EP - 5159
BT - Proceedings of the 35th Chinese Control Conference, CCC 2016
A2 - Chen, Jie
A2 - Zhao, Qianchuan
A2 - Chen, Jie
PB - IEEE Computer Society
T2 - 35th Chinese Control Conference, CCC 2016
Y2 - 27 July 2016 through 29 July 2016
ER -