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A Mobile Sensor Network Tracking Moving Targets in a Dynamic Environment

机译:在动态环境中跟踪移动目标的移动传感器网络

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This paper presents a novel approach to control a mobile sensor network to track moving targets in a dynamic environment. In this approach, we solve two main issues: the sensor splitting and merging control when the number of the targets is changed. The subgroup merging into the main group is controlled by the invariable attractive force field of the virtual leader in the main swarm. In other words, under the effect of this attractive force field, free-sensors can easily reach the main group and become new members in formation of this group. In contrast, subgroups will be split from the existing group to track new targets that appear. The splitting algorithm is built based on the geometry between targets and group position. The members in a split subgroup will connect with their neighbors in order to generate a robust formation without collision while tracking their target. In addition, when a target disappears, the sensors that are tracking this target will automatically distribute into the nearest existing subgroup. The effectiveness of this proposed approach has been verified in simulations.
机译:本文提出了一种新颖的方法来控制移动传感器网络以跟踪动态环境中的移动目标。在这种方法中,我们解决了两个主要问题:目标数量改变时的传感器拆分和合并控制。合并到主要组中的子组由主要群体中虚拟领导者的不变吸引力场控制。换句话说,在这种吸引力场的作用下,自由传感器可以很容易地到达主要群体并成为该群体形成的新成员。相反,子组将与现有组分开,以跟踪出现的新目标。分割算法是基于目标和组位置之间的几何构造的。拆分子组中的成员将与其邻居连接,以便在跟踪目标时生成稳固的编队而不会发生冲突。此外,当目标消失时,跟踪该目标的传感器将自动分配到最近的现有子组中。仿真中验证了该方法的有效性。

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