Vehicular Networking 2024s [C2X 2024s]
(2/2/0) INF-BI-1, INF-VERT1 (ask for INF-BAS1), INF-DSE-20-E-C2X, INF-PM-ANW, Summer 2024
- ⏰ Time, Date, and Location: Wednesdays, 3. DS (11:10), APB E006 (lecture) and Wednesdays, 4. DS (13:00), APB E067 (labs)
- 🟢 Start: 1st week of teaching period
- 📦 Format: 🏛 physical meeting, 📁 slide/sheet download, 💬 chat
- 🧰 Prerequisites: see section “Prerequisites”
- 💬 Questions? Comments? Join the discussion in our Matrix Room #nsm-course-c2x:tu-dresden.de (reachable from the TU Dresden Matrix server)
Contents
Today’s automotive industry is increasingly relying on computer science in product innovation. Young professionals are expected to have specialized knowledge in the fields of electronics, software and vehicular networks – both in-car networks and networks of moving cars. This lecture teaches important concepts from these domains, starting with in-car networks (from individual electronic control units, modern bus systems, system and network architectures, to driver assistance functions, security and safety). The lecture then moves to networks of moving cars (from communication technology and system architectures, to the design of advanced traffic information systems, security and safety). Particular emphasis is given to the relevant question of balancing users' privacy with their safety and security.
Prerequisites
There are no formal prerequisites for joining. Still, certain background knowledge is not taught in this course, but assumed for lecture, labs, or exams:
- You should have a background (or the willingness to learn) computer networking with a focus on wireless as well as fundamental knowledge of applied statistics.
- For the labs, simulations will be designed, written (in C++), and run (on Linux systems). For this, basic programming and computer skills are beneficial.
Learning Outcome
Students will be able to understand the fundamentals of vehicular networking in the sense of both in-car and car-to-everything communication. They will also be able to apply this knowledge in practice.
General Information / Methods
This course consists of lectures and labs. The lecture covers theoretical parts of the course, the labs cover practical parts.
This course will be held in English (German, if universally preferred) and all the course material is available in English. Course material will be distributed/collected via OPAL.
For participation, two alternatives will be offered in parallel:
- All slides along with written commentary will be made available online for download and asynchronous learning.
- All slides will be presented in a weekly on-campus meeting or interactive live stream for synchronous learning. The streaming platform is the TU Dresden BigBlueButton instance, with Zoom as a fall-back.
Questions? Comments? Join the discussion in our Matrix Room #nsm-course-c2x:tu-dresden.de (reachable from the TU Dresden Matrix server) or add a post to our OPAL forum!
Grading
Oral examination (by appointment).
Option of written exam if 32 participants or more where covered by degree program regulations.
If you want to take an exam, please pre-register with us in the first two weeks of lecture. This is in addition to the regular exam registration you will need to do later in the semester. See the organizational slide deck for details.
Instructors
- Lecture: Christoph Sommer
- Labs: Mario Franke
Timeline
For timeline information, see both the section “In a nutshell” above and the slide deck “Organization” below.
Web Meeting Links
In the first week only, the class is run as both a physical and a web meeting, to decide how to continue the course (physical or virtual).
In first week’s hybrid class we decided to move to fully-physical classes until further notice. If we must move to fully-virtual classes, this will be announced here. Until then, no web meetings are taking place.
In case of technical difficulties, please check the Matrix room.
Slides
- 00-org.pdf - Organization
- more: see OPAL
Sheets
- installation.pdf - Installation
- sheet0.pdf - Sheet 0: Installation & TicToc
- more: see OPAL
Literature
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Christoph Sommer and Falko Dressler, Vehicular Networking, Cambridge University Press, 2014. [DOI, BibTeX, Details...]
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Averill M. Law, Simulation, Modeling and Analysis, ed. 4, Singapore, Singapore, McGraw-Hill, 2007. [BibTeX, Details...]
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Ronald E. Walpole, Raymond H. Myers, Sharon L. Myers and Keying Ye, Probability and Statistics for Engineers and Scientists, ed. 9 (international), Pearson, 2012. [BibTeX, Details...]