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首页> 外文期刊>International journal of ad hoc and ubiquitous computing >An adaptive cone based distributed tracking algorithm for a highly dynamic target in wireless sensor networks
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An adaptive cone based distributed tracking algorithm for a highly dynamic target in wireless sensor networks

机译：无线传感器网络中高度动态目标的基于自适应锥的分布式跟踪算法

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Accurate tracking of a target is imperative in military as well as civil applications. In this study, we propose a distributed cone based tracking algorithm for a target that can move with highly dynamic kinematics along linear and nonlinear trajectories. The algorithm provides wakening of a group of nodes in a cone shaped region along the trajectory of the target and particle filtering is used in the prediction of the next state of the target to decrease the target missing ratios. Algorithm used is adaptive in that the shape of the cone is determined dynamically in accordance with the target kinematics. We compared our algorithm with traditional tracking approaches, a recent tracking algorithm (Semi-Dynamic Clustering (SDC)) and other tracking algorithms that we have previously proposed. Simulation results show that, in terms of target missing ratios, our algorithm is superior to all of these algorithms. Secondly, lower target missing ratios lead to less frequent execution of recovery mechanisms which in turn results in lower energy consumptions.
机译：在军事和民用应用中，精确跟踪目标至关重要。在这项研究中，我们为目标提出了一种基于分布式圆锥的跟踪算法，该目标可以沿线性和非线性轨迹以高度动态的运动学运动。该算法提供了沿目标轨迹在锥形区域中的一组节点的唤醒功能，并且在目标的下一个状态的预测中使用了粒子滤波以减少目标丢失率。所使用的算法是自适应的，因为根据目标运动学动态确定圆锥的形状。我们将我们的算法与传统的跟踪方法，最新的跟踪算法（半动态聚类（SDC））以及我们先前提出的其他跟踪算法进行了比较。仿真结果表明，在目标丢失率方面，我们的算法优于所有这些算法。其次，较低的目标丢失率导致恢复机制的执行频率降低，从而降低了能耗。

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