switched to MDPI journal layout
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@@ -41,7 +41,7 @@
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\label{sec:sigStrengthModel}
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\begin{equation}
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\mRssi = \mTXP{} + 10 \mPLE{} + \log_{10} \frac{d}{d_0} + \mGaussNoise{}
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\mRssi = \mTXP{} - 10 \mPLE{} + \log_{10} \frac{d}{d_0} + \mGaussNoise{}
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\label{eq:logDistModel}
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\end{equation}
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@@ -79,7 +79,7 @@
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without costly intersection checks and thus allows for real-time use-cases running on smartphones.
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\begin{equation}
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\mRssi = \mTXP{} + 10 \mPLE{} + \log_{10} \frac{d}{d_0} + \numFloors{} \mWAF{} + \mGaussNoise{}
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\mRssi = \mTXP{} - 10 \mPLE{} + \log_{10} \frac{d}{d_0} + \numFloors{} \mWAF{} + \mGaussNoise{}
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\label{eq:logNormShadowModel}
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\end{equation}
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@@ -284,6 +284,9 @@
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In \refeq{eq:wifiQuality} we use the average signal strength $\bar\mRssi$ among all \docAP{}s seen within one measurement
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$\mRssiVec$ and scale this value to match a region of $[0, 1]$ depending on an upper and lower bound.
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If the returned quality is below a certain threshold, \docWIFI{} is ignored within the evaluation.
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Lower and upper bound are chosen empirically by looking at the usual range of \docWIFI{} signal strengths,
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that still provide persistent data-connections to clients. The threshold is also determined empirically by examining
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the results of \refeq{eq:wifiQuality} for some places with good and bad \docWIFI{} location estimations, respectively.
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\begin{equation}
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\newcommand{\leMin}{l_\text{min}}
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