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首页> 外文期刊>Selected Areas in Communications, IEEE Journal on >Localization and Location Verification in Non-Homogeneous One-Dimensional Wireless Ad-Hoc Networks
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Localization and Location Verification in Non-Homogeneous One-Dimensional Wireless Ad-Hoc Networks

机译:非均匀一维无线自组织网络中的定位和位置验证

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In this paper, we study the hop-count properties of one-dimensional wireless ad-hoc networks, where the nodes are placed independently and identically according to a Poisson distribution with an arbitrary density function. We derive exact equations to calculate the probability mass function of two hop-count random variables: the number of hops needed for a node located at an arbitrary location in the network to receive a message from a node located at one end of the linear network, and the number of hops needed for a node located at one end of the network to receive a message from a node at an arbitrary location. Based on the derived formulas, we then propose localization and location verification methods. Through simulations, we show that our proposed localization method not only has a competitive performance for a range-free method, but also outperforms range-based methods with a local distance measurement error of 10% or more. Furthermore, the proposed location verification protocol is shown to have better results compared to the existing verification systems that also use the hop-count information. An important feature of our methods is that they are applicable to arbitrary densities. This is unlike the existing methods that are limited only to the case of uniform node densities. Using simulations, we also evaluate the proposed schemes in the presence of Rician fading and show that their performance is rather robust with respect to the change in the fading parameter. Moreover, the hop-count equations derived in this work can be used in analyzing other aspects of broadcasting protocols such as quality of service and delay.
机译:在本文中,我们研究了一维无线自组织网络的跳数属性,其中节点根据具有任意密度函数的泊松分布独立且相同地放置。我们导出精确的方程式,以计算两个跳数随机变量的概率质量函数:位于网络中任意位置的节点从位于线性网络一端的节点接收消息所需的跳数;以及位于网络一端的节点从任意位置的节点接收消息所需的跃点数。基于导出的公式,然后我们提出了定位和位置验证方法。通过仿真,我们表明,我们提出的定位方法不仅在无范围方法方面具有竞争优势,而且在局部距离测量误差达到10%或以上的情况下也优于基于范围的方法。此外,与还使用跳数信息的现有验证系统相比,所建议的位置验证协议具有更好的结果。我们方法的一个重要特征是它们适用于任意密度。这不同于仅限于均匀节点密度的现有方法。使用模拟,我们还评估了在存在Rician衰落的情况下所提出的方案,并表明它们的性能相对于衰落参数的变化相当可靠。此外,在这项工作中得出的跳数方程可以用于分析广播协议的其他方面,例如服务质量和延迟。

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