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A node division location detection scheme for chain-type wireless sensor networks

机译:链式无线传感器网络的节点划分位置检测方案

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As a special type of wireless sensor network, the chain-type wireless sensor networks can be used to monitor narrow and long regions, such as roads, underground mine tunnels, rivers, and bridges. In this study, a perpendicular bisector division (PB) method was first presented, in which the location may be divided into more location sub-areas by a perpendicular bisector of each of two location nodes. Compared with the triangulation division method in Approximate Point-in-Triangulation Test (APIT), the computable complexity of PB is lower, and the number of division areas is larger. Furthermore, in order to locate targets under rare location nodes, a virtual location node-perpendicular bisector division (VPB) was presented by a virtual location node based on the geographic shape of the monitored area. Virtual location nodes increase the density of location nodes, which can improve the accuracy of the location in the location algorithm. Second, two range-free location algorithms were proposed: the location algorithm based on PB (LAPB) and the location algorithm based on VPB (LAVPB). In the end, the location errors performance of APIT, LAPB, and LAVPB for locating miners in an underground mine tunnel was tested. The results show that LAPB and LAVPB have higher location accuracy and are more robust than APIT. LAVPB is more suitable for locating targets in harsh environments. Copyright (C) 2014 John Wiley & Sons, Ltd.
机译:作为一种特殊的无线传感器网络,链式无线传感器网络可用于监视狭窄和较长的区域,例如道路,地下矿山隧道,河流和桥梁。在这项研究中,首先提出了一种垂直平分线分割(PB)方法,其中可以通过两个位置节点中的每一个的垂直平分线将位置分为更多的位置子区域。与近似三角剖分测试(APIT)中的三角剖分方法相比,PB的可计算复杂度较低,分割区域的数量较大。此外,为了将目标定位在稀有位置节点下,虚拟位置节点根据监视区域的地理形状提出了虚拟位置节点-垂直平分线(VPB)。虚拟位置节点增加了位置节点的密度,可以提高位置算法中的位置精度。其次,提出了两种无范围定位算法:基于PB的定位算法(LAPB)和基于VPB的定位算法(LAVPB)。最后,测试了APIT,LAPB和LAVPB在地下矿井中定位矿工的位置误差性能。结果表明,LAPB和LAVPB比APIT具有更高的定位精度和更强健。 LAVPB更适合在恶劣环境中定位目标。版权所有(C)2014 John Wiley&Sons,Ltd.

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