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A Mobile Anchor Assisted Localization Algorithm Based on Regular Hexagon in Wireless Sensor Networks

机译:无线传感器网络中基于正六边形的移动锚辅助定位算法

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摘要

Localization is one of the key technologies in wireless sensor networks (WSNs), since it provides fundamental support for many location-aware protocols and applications. Constraints of cost and power consumption make it infeasible to equip each sensor node in the network with a global position system (GPS) unit, especially for large-scale WSNs. A promising method to localize unknown nodes is to use several mobile anchors which are equipped with GPS units moving among unknown nodes and periodically broadcasting their current locations to help nearby unknown nodes with localization. This paper proposes a mobile anchor assisted localization algorithm based on regular hexagon (MAALRH) in two-dimensional WSNs, which can cover the whole monitoring area with a boundary compensation method. Unknown nodes calculate their positions by using trilateration. We compare the MAALRH with HILBERT, CIRCLES, and S-CURVES algorithms in terms of localization ratio, localization accuracy, and path length. Simulations show that the MAALRH can achieve high localization ratio and localization accuracy when the communication range is not smaller than the trajectory resolution.
机译:本地化是无线传感器网络(WSN)的关键技术之一,因为它为许多位置感知协议和应用程序提供了基本支持。成本和功耗的限制使其无法为网络中的每个传感器节点配备全球定位系统(GPS)单元,特别是对于大型WSN。一种定位未知节点的有前途的方法是使用几个移动锚,这些移动锚配备有在未知节点之间移动的GPS单元,并定期广播其当前位置,以帮助附近的未知节点进行定位。提出了一种二维正则网络中基于正六边形的移动锚辅助定位算法,该算法可以通过边界补偿的方法覆盖整个监测区域。未知节点通过使用三边测量来计算其位置。在定位比,定位精度和路径长度方面,我们将MAALRH与HILBERT,CIRCLES和S-CURVES算法进行了比较。仿真表明,当通信距离不小于轨迹分辨率时,MAALRH可以获得较高的定位比和定位精度。

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