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A Cooperative Localization Scheme for Zigbee-based Wireless Sensor Networks

机译:基于ZigBee的无线传感器网络的合作定位方案

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Multiple location-dependent applications of wireless sensor networks have been proposed, such as wildlife monitoring and instruction detection. A reliable and low-cost localization scheme is essential for such sensor applications. In this paper, we propose a signal-strength-based cooperative localization algorithm. Any wireless node monitors all other neighbor nodes' signals, not only from beacon nodes but also from unknown nodes. The signal strength from beacons can be used to limit the position region of the unknown node, and the signal strength from other unknown nodes is iteratively used to refine the node's position by applying greedy method. This scheme does not need labored prior training. Simulation results show that the localization precision is satisfied, and the localization error is reduced greatly compared with the traditional beacon-only-based algorithm.
机译:已经提出了无线传感器网络的多个位置相关应用,例如野生动物监测和指令检测。可靠和低成本的定位方案对于这种传感器应用至关重要。在本文中,我们提出了一种基于信号强制的协作定位算法。任何无线节点都监视所有其他邻居节点的信号,不仅是来自信标节点,还监视所有其他邻居节点的信号,而且监控来自未知节点。来自信标的信号强度可用于限制未知节点的位置区域,并且通过应用贪婪方法来迭代地使用来自其他未知节点的信号强度来优化节点的位置。该计划不需要劳动力劳动。仿真结果表明,满足本地化精度,与基于传统信标的算法相比,本地化误差大大减少。

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