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Localization using a Mobile Beacon in Wireless Sensor Networks

机译:在无线传感器网络中使用移动信标进行本地化

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Localization is a crucial issue and acts as a fundamental element in wireless sensor networks. The location accuracy of sensor node increases with the number of beacon points which can provide reference information for localization. However, the more beacons are used, the higher implementation cost is. In the study, a distributed algorithm called RSS-assisted range-free is proposed to locate sensor nodes using mobile beacons. The proposed algorithm only uses three beacon points to estimate the position of the sensor node. In the proposed scheme, two beacon points are used to obtain candidate positions of the sensor node and the third beacon point is used to determine which one of the candidates would be the actual position of the sensor node. To improve the location accuracy, the study estimates sensor position from possible candidate regions by using geometric conjecture and Received Signal Strength (RSS) constraints. The simulation results have shown that the proposed algorithm is feasible and significantly improves on location accuracy.
机译:本地化是一个关键问题,并且是无线传感器网络中的基本要素。传感器节点的定位精度随信标点数量的增加而增加,这些信标点可以为定位提供参考信息。但是,使用的信标越多,实现成本就越高。在研究中,提出了一种称为RSS辅助无范围分布的分布式算法,以使用移动信标定位传感器节点。所提出的算法仅使用三个信标点来估计传感器节点的位置。在所提出的方案中,两个信标点用于获得传感器节点的候选位置,而第三信标点用于确定哪个候选者将是传感器节点的实际位置。为了提高定位精度,该研究通过使用几何猜想和接收信号强度(RSS)约束从可能的候选区域估计传感器位置。仿真结果表明,所提算法是可行的,并大大提高了定位精度。

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