183.632 Wireless in Automation
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2023S, VU, 3.0h, 3.0EC
TUWELQuinn ECTS survey


  • Semester hours: 3.0
  • Credits: 3.0
  • Type: VU Lecture and Exercise
  • Format: Online

Learning outcomes

After successful completion of the course, students are able to.. 

  • list typical application areas for wireless automation systems
  • name benefits and drawbacks of using wireless communication in automation systems
  • explain the challenges and chances in wireless automation
  • describe the approaches and differences of established technologies
  • define the challenges in implementing (distributed) applications
  • challenge, analyze and evaluate new techniques in this area.



Subject of course

  Introduction to (wireless) automation systems
  Survey on wireless communication including security and energy aspects
  Classify standards for wireless communication in automation systems

  • IEEE 802.15.4
  • ZigBee
  • WirelessHART
  • ISA 100
  • 6LoWPAN
  • 6TiSCH
  • Bluetooth
  • IEEE 802.11
  • KNX RF
  • Z-Wave
  • EnOcean
  • Thread

Teaching methods

Contents are presented in lectures and deepened in extracts in accompanying exercises and a short midterm paper by the students. Case studies are used to discuss certain aspects in detail.

Mode of examination


Additional information

ECTS Breakdown

  • 14h Lecturer time
  •   2h Lecture time (preparation)
  • 34h Hands-on time
  • 24h Homework - seminar part: draft/final/review
  •   1h Administration



Course dates

Tue14:00 - 15:0021.03.2023Seminarraum Techn. Informatik Introduction to the course
Tue15:00 - 17:0013.06.2023Seminarraum Techn. Informatik Plenary Meeting
Tue14:00 - 15:0020.06.2023Seminarraum Techn. Informatik Test

Examination modalities

Oral examination, exercises submitted together with lab reports and a short midterm paper, presentation of solutions

Course registration

Begin End Deregistration end
20.02.2023 12:00 10.03.2023 12:00 10.03.2023 12:00


The student has to be enrolled for at least one of the studies listed below


Study CodeObligationSemesterPrecon.Info
066 937 Software Engineering & Internet Computing Mandatory elective
066 938 Computer Engineering Mandatory elective


No lecture notes are available.

Preceding courses

Accompanying courses