Sensors | |
Decentralized Cooperative TOA/AOA Target Tracking for Hierarchical Wireless Sensor Networks | |
Ying-Chih Chen1  | |
[1] Department of Electrical Engineering, Graduate Institute of Communication Engineering, National Chung Hsing University, Taichung 402, Taiwan; E-Mail | |
关键词: wireless sensor networks; target tracking; Bayesian filtering; neural networking; covariance intersection; | |
DOI : 10.3390/s121115308 | |
来源: mdpi | |
【 摘 要 】
This paper proposes a distributed method for cooperative target tracking in hierarchical wireless sensor networks. The concept of leader-based information processing is conducted to achieve object positioning, considering a cluster-based network topology. Random timers and local information are applied to adaptively select a sub-cluster for the localization task. The proposed energy-efficient tracking algorithm allows each sub-cluster member to locally estimate the target position with a Bayesian filtering framework and a neural networking model, and further performs estimation fusion in the leader node with the covariance intersection algorithm. This paper evaluates the merits and trade-offs of the protocol design towards developing more efficient and practical algorithms for object position estimation.
【 授权许可】
CC BY
© 2012 by the authors; licensee MDPI, Basel, Switzerland.
【 预 览 】
Files | Size | Format | View |
---|---|---|---|
RO202003190040505ZK.pdf | 2073KB | download |