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UPL: Opportunistic Localization in Urban Districts

机译：UPL：城市地区的机会主义本地化

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摘要

We propose an opportunistic ad hoc localization algorithm called Urban Pedestrians Localization (UPL), for estimating locations of mobile nodes in urban districts. The design principles of UPL are twofold. First, we assume that location landmarks are deployed sparsely due to deployment-cost constraints. Thus, most mobile nodes cannot expect to meet these location landmarks frequently. Each mobile node in UPL relies on location information received from its neighboring mobile nodes instead in order to estimate its area of presence in which the node is expected to exist. Although the area of presence of each mobile node becomes inexact as it moves, it can be used to reduce the areas of presence of the others. Second, we employ information about obstacles such as walls, and present an algorithm to calculate the movable areas of mobile nodes considering obstacles for predicting the area of presence of mobile nodes accurately under mobility. This also helps to reduce each node's area of presence. The experimental results have shown that UPL could be limited to $(0.7r)$ positioning error in average, where $(r)$ denotes the radio range by the above two ideas.
机译：我们提出了一种机会性的临时定位算法，称为城市行人定位（UPL），用于估计市区中移动节点的位置。 UPL的设计原理是双重的。首先，由于部署成本的限制，我们假设位置地标的部署稀疏。因此，大多数移动节点不能期望经常满足这些位置地标。 UPL中的每个移动节点都依赖于从其相邻移动节点接收到的位置信息，以便估计其预期存在该节点的存在区域。尽管每个移动节点的存在区域在移动时变得不精确，但可以用来减少其他移动节点的存在区域。其次，我们采用有关障碍物（例如墙壁）的信息，并提出一种算法来计算考虑了障碍物的移动节点的可移动区域，以准确地预测移动性下移动节点的存在区域。这也有助于减少每个节点的存在区域。实验结果表明，UPL的平均定位误差可限制在$（0.7r）$，其中，$（r）$表示上述两种思路的无线电范围。

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