Abstract: We present a decentralized sensor node management scheme based on the conditional posterior Cramér-Rao lower bounds（CPCRLB) in order to achieve target tracking in wireless sensor networks（WSNs). We propose a distributed iterative algorithm of the CPCRLB based on the consensus algorithm. The numerical approximation implementation of the proposed algorithm is obtained using distributed particle filter, and the distributed CPCRLB is used as a criterion for the selection of the optimal sensor nodes in the hierarchical WSN. We propose an efficient iterative local search algorithm based on average consensus strategy, which achieves the online decentralized selection of sensor nodes. The simulation results show that the proposed CPCRLB-based decentralized sensor management method can achieve accurate target tracking.