Pub Date : 2023-05-01DOI: 10.1109/ISORC58943.2023.00041
Akram Hakiri, Sadok Ben, Gokhale Aniruddha
This paper introduces the Hyper-5G research project, which aims at developing and evaluating an experimental proof of concept of a cross-Atlantic Network Digital Twin for the future wireless mobile 5G and beyond (B5G). Hyper-5G project brings innovative capabilities to allow distributed twins to replicate the 5G IoT network infrastructure digitally. Hyper-5G project interconnects two geographically distributed edge-cloud infrastructures, i.e., Grid5000 in Europe and Chameleon cloud in the US, to assess the feasibility of deploying new 5G IoT services using the twin. Hyper-5G offers an open European platform to experiment with different IoT scenarios, ranging from smart agriculture to healthcare, connected cars, etc. In the USA, Hyper-5G deploys the DT Hub inside the Chameleon cloud, connected to CHI-Edge IoT testbed, to enable emulating real-world IoT scenarios such as connected robots, smart cities, and smart grids, etc.
{"title":"Hyper-5G: A Cross-Atlantic Digital Twin Testbed for Next Generation 5G IoT Networks and Beyond","authors":"Akram Hakiri, Sadok Ben, Gokhale Aniruddha","doi":"10.1109/ISORC58943.2023.00041","DOIUrl":"https://doi.org/10.1109/ISORC58943.2023.00041","url":null,"abstract":"This paper introduces the Hyper-5G research project, which aims at developing and evaluating an experimental proof of concept of a cross-Atlantic Network Digital Twin for the future wireless mobile 5G and beyond (B5G). Hyper-5G project brings innovative capabilities to allow distributed twins to replicate the 5G IoT network infrastructure digitally. Hyper-5G project interconnects two geographically distributed edge-cloud infrastructures, i.e., Grid5000 in Europe and Chameleon cloud in the US, to assess the feasibility of deploying new 5G IoT services using the twin. Hyper-5G offers an open European platform to experiment with different IoT scenarios, ranging from smart agriculture to healthcare, connected cars, etc. In the USA, Hyper-5G deploys the DT Hub inside the Chameleon cloud, connected to CHI-Edge IoT testbed, to enable emulating real-world IoT scenarios such as connected robots, smart cities, and smart grids, etc.","PeriodicalId":281426,"journal":{"name":"2023 IEEE 26th International Symposium on Real-Time Distributed Computing (ISORC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133227000","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-01DOI: 10.1109/ISORC58943.2023.00034
Bhaskar Anand, P. Rajalakshmi
Light Detection and Ranging (LiDAR) sensor play a vital role in the fields like environment perception for an autonomous vehicle, surveying and many other fields. LiDAR emits an enormous amount of data, which is difficult to transmit over a wireless medium. The need for LiDAR data transmission arises specifically in the Intelligent Transportation System (ITS) and surveying. It is advantageous to transmit LiDAR (mounted on a car) data over a wireless medium and receive the same by another vehicle or Road Side Units (RSUs) or control stations of a tesbed setup. Similarly, visualizing LiDAR data remotely while data acquisition by LiDAR mounted on Unmanned Aerial Vehicles (UAVs) could simplify the process of surveying. This paper presents a client-server-based LiDAR data streaming system using socket programming. In this system, the server transmits LiDAR point-cloud percept data, and the client captures and visualizes the streaming data over a WiFi medium. The server and the client are both equipped with the Robot Operating System(ROS). An extensive analysis of data transfer on two popular protocols, TCP and UDP, has also been presented. The data transmission and reception on ROS platform was successfully performed with a tolerable latency.
{"title":"Client-Server Based Implementation of Real-time LiDAR Data Streaming on ROS platform","authors":"Bhaskar Anand, P. Rajalakshmi","doi":"10.1109/ISORC58943.2023.00034","DOIUrl":"https://doi.org/10.1109/ISORC58943.2023.00034","url":null,"abstract":"Light Detection and Ranging (LiDAR) sensor play a vital role in the fields like environment perception for an autonomous vehicle, surveying and many other fields. LiDAR emits an enormous amount of data, which is difficult to transmit over a wireless medium. The need for LiDAR data transmission arises specifically in the Intelligent Transportation System (ITS) and surveying. It is advantageous to transmit LiDAR (mounted on a car) data over a wireless medium and receive the same by another vehicle or Road Side Units (RSUs) or control stations of a tesbed setup. Similarly, visualizing LiDAR data remotely while data acquisition by LiDAR mounted on Unmanned Aerial Vehicles (UAVs) could simplify the process of surveying. This paper presents a client-server-based LiDAR data streaming system using socket programming. In this system, the server transmits LiDAR point-cloud percept data, and the client captures and visualizes the streaming data over a WiFi medium. The server and the client are both equipped with the Robot Operating System(ROS). An extensive analysis of data transfer on two popular protocols, TCP and UDP, has also been presented. The data transmission and reception on ROS platform was successfully performed with a tolerable latency.","PeriodicalId":281426,"journal":{"name":"2023 IEEE 26th International Symposium on Real-Time Distributed Computing (ISORC)","volume":"205 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132583146","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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