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Direction of estimation approach for collaborative localization in wireless sensor networks

机译:无线传感器网络中协作定位的估计方法的方向

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In this paper, a collaborative localization technique based on the direction of estimation (DoE) is proposed. Two directions, border-to-centre B-C and centre-to-border C-B, are investigated and their location accuracies are evaluated. The results show that the B-C method approach outperforms the C-B method based on the root-mean square error (RMSE) and Cramer-Rao bound (CRB). The new B-C DoE method is demonstrated using different deployment strategies and node densities. The simulation results show that the B-C DoE algorithm decreases the accumulated errors of location estimation approximately by 12% over conventional collaborative algorithms; in addition its performance is clearly superior to the performance of other DoE methods.
机译:本文提出了一种基于估计方向(DoE)的协同定位技术。研究了两个方向,从边界到中心的B-C和从中心到边界的C-B,并评估了它们的位置精度。结果表明,B-C方法优于基于均方根误差(RMSE)和Cramer-Rao界限(CRB)的C-B方法。使用不同的部署策略和节点密度演示了新的B-C DoE方法。仿真结果表明,与传统的协作算法相比,B-C DoE算法将位置估计的累积误差降低了约12%。此外,它的性能明显优于其他DoE方法的性能。

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