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A Range Free Localization Algorithm Based on Restricted-Area for Wireless Sensor Networks

机译:一种基于无线传感器网络限制区域的无限定位算法

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This paper presents a restricted-area-based localization algorithm (RAL) for wireless sensor networks (WSN), in which radio connectivity and principle of perpendicular bisectors are used to provide a lower estimation error than some of restricted-area-based localization algorithms. In the RAL algorithm, anchor nodes can transmit beacon signals at different power levels, which divide the possible transmission ranges of an anchor into a circle and multiple rings. The intersection of circle or rings of all the anchors heard by unknown node forms restricted-area I. In addition, we utilize all the perpendicular bisectors of the line which connects each pair of anchor nodes to obtain restricted-area II. Based on the restricted-area I and restricted-area II, we can calculate valid intersection points, and take average value of all these points as the estimated location of the unknown nodes. The proposed algorithm is range-free and energy efficient. Neighboring sensor nodes do not need to exchange information. Each sensor node only relies on information of anchors it heard to compute two kinds of restricted-areas and estimates its location. Simulation results show that the proposed algorithm has less estimation error than Centroid, Convex and CAB localization algorithms.
机译:本文提出了一种基于限制的区域的定位算法(RAL),用于无线传感器网络(WSN),其中使用垂直分发器的无线电连接和原理来提供比一些基于区域的定位算法的较低估计误差。在RAL算法中,锚节点可以在不同功率水平处传输信标信号,其将锚的可能的传输范围划分为圆和多个环。由未知节点的所有锚点的圆形或环的圆形或环的圆形或环形狭窄区域I.此外,我们利用连接每对锚节节点的线的所有垂直大分子获得限制区域II。基于受限区域I和限制区域II,我们可以计算有效的交叉点,并将所有这些点的平均值作为未知节点的估计位置。所提出的算法是无距离和节能的。邻近的传感器节点不需要交换信息。每个传感器节点仅依赖于它听到的锚点的信息来计算两种限制区域并估计其位置。仿真结果表明,该算法的估计误差小于质心,凸和驾驶室定位算法。

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