title: Decentralized cooperative TOA/AOA target tracking for hierarchical wireless sensor networks.
abstract: 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.
authors.affiliation: Department of Electrical Engineering, Graduate Institute of Communication Engineering, National Chung Hsing University, Taichung 402, Taiwan. chenyingchr@gmail.com
authors.forename: Ying-Chih
authors.initials: YC
authors.lastname: Chen
authors.forename: Chih-Yu
authors.initials: CY
authors.lastname: Wen