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DV-hop localization algorithm with multi-power beacons under noisy environment

机译:噪声环境下具有多功率信标的DV-hop定位算法

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Applications based on geographical location are increasing rapidly in wireless sensor networks (WSN). Localization algorithm research has drawn wide attention in recent years and brought about many sophisticated algorithms. The majority of localization algorithms can be divided into range-free or range-based, based on whether they use range information. Range-based algorithms are being pursued as a cost-effective alternative due to the hardware limitations of devices. DV-hop is one of the range-free localization algorithms using equal per-hop distance. However, DV-hop cannot precisely estimate the distance between an anchor and a sensor node, since it simply uses hop-count, which is incremented by 1 to calculate per-hop distance. Thus, per-hop distance must be equal, even though the actual distance of each hop is differs. In this paper, each node emits multi-power beacon signals; thus, signal range differs and the signals are used for the criterion of per-hop distance. Thus, we can estimate distance more accurately. Simulations show our proposed algorithm outperforms DV-hop by 11.57%R. The proposed algorithm demonstrates noticeable improvement, as the number of signals increases in the case of a noisy environment.
机译:在无线传感器网络(WSN)中,基于地理位置的应用程序正在迅速增长。定位算法研究近年来引起了广泛的关注,并带来了许多复杂的算法。根据大多数定位算法是否使用范围信息,可以将其分为无范围或基于范围的算法。由于设备的硬件限制,基于范围的算法正在寻求一种具有成本效益的替代方案。 DV-hop是使用相等的每跳距离的无范围定位算法之一。但是,DV-hop无法精确估计锚点和传感器节点之间的距离,因为它仅使用跳数,该跳数以1为增量来计算每跳距离。因此,即使每跳的实际距离不同,每跳距离也必须相等。在本文中,每个节点都发出多倍功率信标信号。因此,信号范围会有所不同,并且这些信号将用作每跳距离的标准。因此,我们可以更准确地估计距离。仿真表明,我们提出的算法比DV-hop的结果高出11.57%R。所提出的算法证明了明显的改进,在嘈杂的环境中,随着信号数量的增加。

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