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Measurement of the channel gain for multiple distances within a factory environment Changelog: two new tracesets (M2 and M3) added

Data set to support the published paper: Optically reconfigurable metasurfaces and photonic devices based on phase change materials Wang, Q., Rogers, E., Gholipour, B., Wang, C. H., Yuan, G. H., Teng, J. H. & Zheludev, N. I. 1 Jan 2016 In : Nature Photonics. 10, p. 60-65

In this study, we consider the estimation of the location parameter and the scale parameter of the shifted Gompertz (SG) distribution. We obtain the closed form estimators of these parameters by using the modified maximum likelihood (MML) methodology originated by Tiku (1967). We also compare the efficiencies of these estimators with the well-known and widely used least squares (LS) and maximum likelihood (ML) estimators via Monte-Carlo simulation study in terms of bias, mean square error (MSE) and deficiency (Def) criteria. In addition, we evaluate the performances of the proposed estimators when the data contains the outliers or is contaminated. In other words, the robustness properties of the estimators are investigated. A real data set is analyzed to demonstrate the implementation of the estimation methods at the end of the study.

This dataset contains the RSS (Radio Signal Strength) data collected with a mobile robot in two environments: indoor (KTH) and outdoor (Dortmund). RSSI metric was used to collect the RSS data in terms of dBm. The mobile robot location was recorded using its odometry (dead reckoning). Changelog: the initial version

Smartphones perform Wifi scans to adapt to the changing wireless environments causes by mobility. From network monitoring perspective, such scans provide a natural stream of network measurements from client's point of view. In order to see whether such measurements can provide new insights in monitoring large scale wireless networks, we collected the Wifi scan results data, together with other Wifi related logs, from the PhoneLab smartphone testbed over 5 months. All data are collected passively from the smartphones. Changelog: the initial version