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Sensor Management Under Tracking Accuracy and Energy Constraints in Wireless Sensor Networks

机译:无线传感器网络中跟踪精度和能量约束下的传感器管理

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摘要

In this paper, we consider the problem of sensor selection in wireless sensor networks for target tracking, subject to limited energy consumption and a given tracking accuracy. A cost function is derived for this purpose based on the geometrical dilution of precision for the power measurement sensors. Then, a new adaptive method is proposed, in which the number of active sensors is adaptively determined based on the energy consumption and tracking error constraints, and the best topology of the active set is selected based on the closest sensor with replacement (CSWR) method. Simulation results show that the proposed sensor selection problem is effective in terms of balancing the tradeoff between energy consumption and tracking accuracy. Also, the CSWR algorithm is near optimal and its computational burden is comparable with the suboptimum algorithms.
机译:在本文中,我们考虑了无线传感器网络中用于目标跟踪的传感器选择问题,该问题要受限于能耗和给定的跟踪精度。为此,基于功率测量传感器的精度几何稀释来推导成本函数。然后,提出了一种新的自适应方法,在该方法中,基于能耗和跟踪误差约束来自适应地确定有源传感器的数量,并基于最接近替换传感器(CSWR)来选择有源集的最佳拓扑。 。仿真结果表明,所提出的传感器选择问题在平衡能耗和跟踪精度之间是有效的。而且,CSWR算法接近最优,其计算负担可与次优算法相媲美。

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