In this appendix, the tested implementation in Matlab of our 2D-TDOA localization algorithm is given for the easier repetition of the obtained results and the future hardware implementation, due to the complexity of the formulas (25)-(31).


Wide area control (WAC) in smart grid requires low-latency communications across the grid to transfer various control commands and Phasor Measurement Unit (PMU) measurements. \textcolor{red}{Smart grid communications are generally implemented between multiple control centers, between transformer substations and control centers, and between power plants and control centers}.


This is a communication dataset for the simulation of WSNs in TinyOS.

There are two groups of files. They are used separately for the simulation of topology and noise in the communication of WSNs. They work for the platform TinyOS.


Data of some synthesized antenna array layouts and animations to show the Isophoric IDEA optimization process; some *.mp4 animations of the optimization process are also provided.


The data is provided in simple *.txt files or images containing QR codes 


Using Wi-Fi IEEE 802.11 standard, radio frequency waves are mainly used for communication on various devices such as mobile phones, laptops, and smart televisions. Apart from communication applications, the recent research in wireless technology has turned Wi-Fi into other exploration possibilities such as human activity recognition (HAR). HAR is a field of study that aims to predict motion and movement made by a person or even several people.


Please download and unzip the following files corresponding to the three experiments described in our paper


and follow the instructions in the ReadMe.pdfs.


Industrial Internet of Things (IIoTs) are high-value cyber targets due to the nature of the devices and connectivity protocols they deploy. They are easy to compromise and, as they are connected on a large scale with high-value data content, the compromise of any single device can extend to the whole system and disrupt critical functions. There are various security solutions that detect and mitigate intrusions.


The SoftCast scheme has been proposed as a promising alternative to traditional video broadcasting systems in wireless environments. In its current form, SoftCast performs image decoding at the receiver side by using a Linear Least Square Error (LLSE) estimator. Such approach maximizes the reconstructed quality in terms of Peak Signal-to-Noise Ratio (PSNR). However, we show that the LLSE induces an annoying blur effect at low Channel Signal-to-Noise Ratio (CSNR) quality. To cancel this artifact, we propose to replace the LLSE estimator by the Zero-Forcing (ZF) one.


For more information, please refer to the following paper:

Anthony Trioux, Giuseppe Valenzise, Marco Cagnazzo, Michel Kieffer, François-Xavier Coudoux, et al., A Perceptual Study of the Decoding Process of the SoftCast Wireless Video Broadcast Scheme. 2021 IEEE Workshop on Multimedia Signal Processing (MMSP), Oct. 2021, Tampere, Finland.

The SoftCast Database consists of 8 RAW HD reference videos and 156 cropped videos transmitted and received through the SoftCast linear video coding and transmission scheme considering either the LLSE or the ZF estimator. Each video has a duration of 5 seconds. Note that only the luminance is considered in this database. Furthermore, the number of frames depends on the framerate of the video (125 frames for 25fps and 150frames for 30fps).

The GoP-size was set to 32 frames, 2 compression ratio (CR) were considered: CR=1 (no compression applied) and CR=0.25 (75% of the DCT coefficients are discarded before transmission). The Channel Signal-to-Noise Ratio (CSNR) considered in this test vary from 0 to 27dB by 3dB step. This database was evaluated by 30 participants (9 women and 21 men). They were asked to select which one of the two displayed version of the reconstructed videos they prefered based on a Forced-choice PairWise Comparison test. A training session was organized prior to the test for each observer in order to familiarize them with the procedure. 

Video files are named using the following structure:

Video_filename_y_only_GoP_32_CR_X_Y_ZdB_crop.yuv where X equals either 1 or 0.25 Y refers to the estimator used (ZF or LLSE) and Z is either equal to 0,3,6,9,12,15,18,21,24 or 27dB.

The original video files are denoted: Video_filename_y_only_crop.yuv.

Each video file is in *.yuv format (4:2:0) where the chrominance plans are all set to 128. (This process allows to perform the VMAF computation as VMAF requires either a yuv420p, yuv422p, yuv444p, yuv420p10le, yuv422p10le or yuv444p10le video format).

The preference scores for each of the stimuli are available in the PWC_scores.xls file.

The objective scores (frame by frame) for each videos are available in the file.


Time-varying positions, velocities, and orbital elements of 1584 satellites in a simulated megaconstellation modelled on Phase 1 of SpaceX’s Starlink. 


Please refer to the attached documentation for a detailed description.


Several experimental measurement campaigns have been carried out to characterize Power Line Communication (PLC) noise and channel transfer functions (CTFs). This dataset contains a subset of the PLC CTFs, impedances, and noise traces measured in an in-building scenario.

The MIMO 2x2 CTFs matrices are acquired in the frequency domain, with a resolution of 74.769kHz, in the frequency range 1 - 100MHz. Noise traces, in the time domain with a duration of about 16 ms, have been acquired concurrently from the two multi-conductor ports. 


The dataset is available in the MATLAB format *.mat. The instructions and basic examples to display data are available in "script_load_dataset.m".


Vehicle-to-barrier (V2B) communications is an emerging communication technology between vehicles and roadside barriers to mitigate run-off-road crashes, which result in more than half of the traffic-related fatalities in the United States. To ensure V2B connectivity, establishing a reliable V2B channel is necessary before a potential crash, such that real-time information from barriers can help (semi-)autonomous vehicles make informed decisions. However, the characteristics of the V2B channel are not yet well understood.


In this repository, data for five different crash tests are uploaded. The details about each of these crash tests are discussed in the paper. The data for each crash test are categorized according to the USRP log files, Crash test photos & videos, Crash vehicle acceleration sensor data, and Crashed barrier design & dimensions.