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Simultaneous localization of multiple unknown CSMA-based wireless sensor network nodes using a mobile robot with a directional antenna

机译:使用带有定向天线的移动机器人同时定位多个未知的基于CSMA的无线传感器网络节点

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We use a single mobile robot equipped with a directional antenna to simultaneously localize unknown carrier sensing multiple access (CSMA)-based wireless sensor network nodes. We assume the robot can only sense radio transmissions at the physical layer. The robot does not know network configuration such as size and protocol. We formulate this new localization problem and propose a particle filter-based localization approach. We combine a CSMA model and a directional antenna model using multiple particle filters. The CSMA model provides network configuration data while the directional antenna model provides inputs for particle filters to update. Based on the particle distribution, we propose a robot motion planning algorithm that assists the robot to efficiently traverse the field to search radio source. The final localization scheme consists of two algorithms: a sensing algorithms that runs in O (n) time for n particles and a motion planning algorithm that runs in O (nl) time for/radio sources. We have implemented the algorithm, and the results show that the algorithms are capable of localizing unknown networked radio sources effectively and robustly.
机译:我们使用配备定向天线的单个移动机器人来同时定位未知的基于多路访问(CSMA)的无线传感网络节点的载波。我们假设机器人只能感知物理层的无线电传输。机械手不知道网络配置,例如大小和协议。我们提出了这个新的定位问题,并提出了一种基于粒子滤波器的定位方法。我们使用多个粒子滤波器结合了CSMA模型和定向天线模型。 CSMA模型提供网络配置数据,而定向天线模型提供粒子滤波器更新的输入。基于粒子分布,我们提出了一种机器人运动计划算法,该算法可帮助机器人有效地遍历磁场以搜索无线电源。最终的定位方案由两种算法组成:对n个粒子以O(n)时间运行的传感算法和对于/无线电源以O(nl)时间运行的运动规划算法。我们已经实现了该算法,结果表明该算法能够有效,鲁棒地定位未知的网络无线电源。

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