Communications
Communication of selected devices captured on LAN. The communication is stored in pcapng format. Files captures device's communication such as: connection to a network, configuration and other activities specific to each device.
Selected devices are:
- TP-LINK LB110
- TP-LINK HS100
- NETATMO smart radiators valves
- BML smart IP camera
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Extensive experimental measurement campaigns of more than 30,000 data points of end-to-end latency measurements for the following network architecture schemes is available:
- Unlicensed IoT (standalone LoRa)
- Cellular IoT (standalone LTE-M)
- Concatenated IoT (LoRa interfaced with LTE-M)
Download Data.zip to access all relevant files for the open data measurements.
Related Paper:
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Physical layer secret key generation is a promising candidate to achieve one-time-pad encryption approach for the wireless communication system. However, in a static environment, the secret key rate is low due to the lack of channel time-variation. To solve this problem, this paper proposes a novel secret key generation scheme assisted by an intelligent reflecting surface with discrete phase shifts. In the scheme, legitimate nodes construct the dynamic time-varying channel by rapidly and randomly switching the phase of IRS elements.
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The dataset includes parameters of RSN selection for inter-constellation satellite collaboration. It consists of four files. One includes the satellite topologies, from which we choose three topologies for our evaluations. The other three are parameters for each topology, including each satellite's request frequency, latency to other satellites, storage cost, processing capability, storage space, and reliability.
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Supplementary data for "Investigation on Homogenization of Flat and Conformal Stacked Dielectric Resonator Antennas"
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The simulation code for the paper:
"AoI-Aware Resource Allocation for Platoon-Based C-V2X Networks via Multi-Agent Multi-Task Reinforcement Learning"
The overall architecture of the proposed MARL framework is shown in the figure.
Modified MADDPG: This algorithm trains two critics (different from legacy MADDPG) with the following functionalities:
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2D geometrically shaped constellations that are simultaneously robust to both residual phase noise (RPN) and AWGN (named as LCM-RPN, where LC is the low-complexity receiver metric from [1]) for 8 to 64-ary PCAWGN reception using a mismatched PCAWGN model. We added AWGN-only shaped constellations (LCM-AWGN) to serve as a reference; the term M is the modulation cardinality.
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This Matlab model and the included results are submitted as reference for the paper ''.
Presenting a comparative study of the Sequential Unscented Kalman Filter (SUKF), Least-squares (LS) Multilateration and standard Unscented Kalman Filter (UKF) for localisation that relies on sequentially received datasets.
The KEWLS and KKF approach presents a novel solution using Linear Kalman Filters (LKF) to extrapolate individual sensor measurements to a synchronous point in time for use in LS Multilateration.
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This Data contains measurements on reading and writing data to OPC UA servers directly and via REST and GraphQL interfaces. Each measurement is conducted 50 times. Measurements include reading a single value and reading a value 50 times. Measurements are conducted with Wireshark and the csv files are exported from it.
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