Time-sensitive networking (TSN) is an emerging topic for the advancement of wireless networking for industrial applications. TSN, as defined under the umbrella of IEEE 802.1 working group standards, addresses issues related to providing deterministic communications over IEEE 802-based Local Area Networks (LANs). TSN was originally designed to support real-time audio/video applications over Ethernet providing better reliability and lower, more deterministic latency with traffic shaping capabilities. TSN has since expanded its scope and applicability to other applications such as those in industrial environments and automotive. Industrial examples include machine-machine communications for robot control, end-effector actuation, real-time sensing, and safety integrated systems. Applications utilizing an wireless local area network (WLAN) can also benefit from scheduling and traffic shaping as defined in the 802.1Qbv standard; however, factors such as clock stability, synchronization, resource requirements and protocol options come into play when selecting a schedule to support multiple application types on the same network. In this article, we present a scenario for a collaborative robot heavy lift operation, in which, two robots communicate over an IEEE 802.11 WLAN with TSN capabilities to lift a rigid body in three dimensions. Scheduling is performed using 802.1Qbv over WLAN with the robot operating system (ROS) used as the software middleware utilizing the transport control protocol (TCP). As a part of the research, we describe our process for schedule selection to accommodate the time-sensitive traffic of the robotic scenario while allowing an industrial internet of things (IIoT) high data rate traffic to coexist. We then provide an analysis of the impacts of TSN schedule selection on the operational performance of the collaborative robot application. The data provided within this data set was collected as a result of experiments conducted under this research effort.

This dataset represents the results from conducted simulations to evaluate the performance of Device-to-Device (D2D) communications in LTE when the User Equipment (UEs) are operating in UE-scheduled mode (Mode 2) with frequency hopping enabled. Different scenarios were simulated and communication performance was evaluated for each frequency hopping scheme defined in the LTE standard. The communication performance metrics include the successful transmission-reception ratio of transport blocks (TBs) at the physical layer, and the probability mass funciton (PMF) of consecutive TBs lost. Simulations were run multiple times with different random variable seeds, therefore, the mean and standard deviation of each metric is reported.

User Equipment (UE)-to-Network Relay functionality was introduced in Release 13 of the Third Generation Partnership Project (3GPP) Long Term Evolution (LTE) to extend and improve user connectivity. A UE connected to the network (relay UE) provides network access to another UE (remote UE) by establishing a direct one-to-one connection with it using the sidelink (SL) channels over the PC5 interface. The PC5 signaling is used for the establishment and maintenance of this direct connection, and different procedures and timers are linked to these processes. We focus on evaluating the PC5 signaling protocol performance through system-level simulations to provide some insights on minimum timer values that may increase the probability of successfully establishing and maintaining the connection between a remote UE and a relay UE. This data is in multiple forms: - source .txt files that contains data based on network simulations in ns-3. - scripts .gnu files for processing the data and generating plots as shown in NIST Technical Note 2144. - readme file explaining the data and associated scripts. Each .txt file (starting with "DirectSecurityTrace") represents the cumulative distribution function (CDF) of the roundtrip time (RTT) for the security procedure (one set of message exchange: request/response) over ProSe for a specific sidelink period value (e.g. 40, 60, 80, ..., 320 ms). Each .txt file (starting with "DirectCommunicationTrace") represents the cumulative distribution function (CDF) of the roundtrip time (RTT) for direct link setup procedure (one request/response encapsulating another request/response) over ProSe for a specific sidelink period value (e.g. 40, 60, 80, ..., 320 ms). Each .txt file (starting with "DirectCommunicationTrace") represents the success probability of establishing a remote/relay connection for a specific sidelink period value (e.g. 40, 60, 80, ..., 320 ms). The rest of the .txt files (minvaluesfile.txt, avgvaluesfile.txt, maxvaluesfile.txt) includes results from the theoretical model in "Access Time Analysis of MCPTT Off-Network Mode over LTE" by Yishen Sunby Yishen Sun et al (https://doi.org/10.1155/2019/2729370): providing the minimum, maximum, and average values of the RTT over ProSe direct communication. Running the .gnu scripts generates the .eps figures (Fig. 3/4/5) included in NIST Technical Note 2144: They plot the corresponding RTT in function of time (ms) and sidelink period, and the corresponding success probability in function of the sidelink period.

Timed-Triggered Ethernet (or TTEthernet)is a communication infrastructure that enables the use of Ethernet in real-time, distributed systems. TTEthernet is compatible with traditional IEEE 802.3 switched Ethernet standards, and is designed to support dataflows of mixed criticality on a single network. For traffic of the highest criticality, TTEthernet provides a timed-triggered communication service that relies on a fault-tolerant clock-synchronization protocol. We have developed formal models of parts of the TTEthernet protocols and analyzed safety-critical properties using both SAL and PVS. Related work by Wilfried Steiner is described in the SAL Wiki.

The Austin Transportation Department manages thousands of IP-enabled devices which enable traffic signal operations. Devices include traffic cameras, battery backup systems, signal controllers, and vehicle detectors. This dataset, updated daily, serves as a log of attempts to communicate with the various various devices on the traffic signals network.

정보통신망연결기기등 정보보호인증을 위한 기준에 대한 데이터로 정보통신망연결기기등 정보보호인증을 준비하는 인증신청 기업에 도움

This repository contains code for analyzing industrial wireless sounder measurements and the generation of wireless scenarios. DISCLAIMER: Certain commercial equipment, instruments, or materials are identified in the associated paper (https://doi.org/10.6028/nist.tn.1951) in order to specify the experimental procedure adequately. Such identification is not intended to imply recommendation or endorsement by NIST, nor is it intended to imply that the materials or equipment identified are necessarily the best available for the purpose.