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Obstacle-avoidance path planning of a mobile beacon for localisation

机译:用于本地化的移动信标的避障路径规划

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Location is important for most wireless sensor network applications. A potential localisation method uses a mobile beacon instead of numerous static beacons. This method includes planning a beacon trajectory as a fundamental and interesting problem. Obstacles in practical scenarios often restrict the free locomotion of beacons. This study examines the obstacle-avoidance path-planning method, which consists of three stages. First, the network deployment region is partitioned into cells by adaptive cell decomposition, and the corresponding connectivity graph is constructed. Second, a modified max-min ant system algorithm is provided to obtain the approximate shortest global path that covers the connectivity graph. Finally, a sequence of concentric circles of adjustable radii is utilised as the local path within an obstacle-free cell. We prove that all sensor nodes deployed in obstacle-free cells can be localised by using the proposed path. Simulation results show that more than 90% of the sensor nodes in the obstacle-free region can be localised by using the given trajectory.
机译:位置对于大多数无线传感器网络应用很重要。潜在的定位方法使用移动信标代替大量静态信标。该方法包括将信标轨迹规划为基本且有趣的问题。在实际情况中,障碍物通常会限制信标的自由移动。本研究考察了避障路径规划方法,该方法包括三个阶段。首先,通过自适应小区分解将网络部署区域划分为多个小区,并构建相应的连接图。其次,提供了一种改进的最大最小蚂蚁系统算法,以获得覆盖连通性图的近似最短全局路径。最后,一系列可调节半径的同心圆被用作无障碍单元内的局部路径。我们证明,通过使用建议的路径可以部署在无障碍单元中的所有传感器节点。仿真结果表明,通过使用给定的轨迹,可以在无障碍区域中定位超过90%的传感器节点。

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