Bearbeiter | (nur für Mitarbeiter:innen einsehbar) |
Betreuer | Shashank Jhansale |
David Niederprüm | |
Professor | Prof. Dr.-Ing. Lars Wolf |
Projekt | RePro |
IBR Gruppe | CM (Prof. Wolf) |
Art | Bachelorarbeit |
Status | abgeschlossen |
Beginn | 2024-07-08 |
Abgabestichtag | 2024 |
MotivationThe digital revolution is lately being driven by Internet of Things (IoT) devices, especially in areas where real time data analytic is essential. One of the wide spread usage is in the area of industrial automation where modern day industrial equipment have evolved to exploit the advancements in the smart factory context. With its wireless interfaces, the IoT devices can be portable to carry around and also provide simple means of data accessibility. Although abundant research has been conducted on the wireless communication, it is evident that guaranteeing highly reliable communication over a long period of time could still be challenging. This holds true specifically in industries where multiple communication technologies interfere with one another. The primary reason behind such a behavior is the sharing of the unlicensed band of frequency spectrum. The implications of an unreliable communication could be catastrophic with heavy machinery and human beings working in close quarters. TopicIn order to improve reliability in communication, it is essential to design a network which is resilient to communication failures. Since experiencing interference in lab environment is often challenging, there is a necessity to emulate the behavior. In doing so, communication disruptions just like in an actual factory can be reproduced in lab environment for WiFi and Ethernet networks. The Linux kernel offers a Network Emulator, tc-netem(8) which assists in manipulating the traffic flow of network interfaces. This could be configured to emulate the network performance of any desired characteristics. The following activities are necessary:
In case you are interested in this topics, feel free to contact me. Skills required
What you will learn
References |
Technische Universität Braunschweig
Universitätsplatz 2
38106 Braunschweig
Postfach: 38092 Braunschweig
Telefon: +49 (0) 531 391-0