Main document
Networked Embedded Systems [NES]
0432 L 314, Winter 2020/2021
Content
The objective of this course is gain insights into the operation and programming of embedded systems. A strong focus is on wireless sensor networks. We study the fundamentals of such sensor networks. In the scope of the exercises, we discuss selected topics in more detail.
- Design and architecture of embedded systems
Architecture of embedded systems, programming paradigms - Sensor networks
Principles and applications - Wireless communications
Concepts of modulation and encoding on the physical layer - Wireless access
Typical medium access protocols for low-power sensor nodes - Routing
Ad hoc routing and data centric communication - Clustering
Clustering algorithms, guaranteed connectivity - Localization
Ranging techniques, localization algorithms
Learning Outcome
The learning objective is to unserstand the fundamental concepts of networded embedded systems. Students understand these concepts and are able to apply this knowledge.
General Information / Methods
This master course will be held in English and all the course material is available in English.
This course consists of lectures and labs. The lecture gives an overview and background information on the topics of networked embedded systems. During the labs, this knowledge will be applied in hands-on simulative performance studies. All simulation code will be written in MATLAB and C++ and executed on Linux systems.
For more information, slides, and required submissions, please see our ISIS page.
Instructors
- Lecture: Falko Dressler
- Exercises: Gurjashan Singh Pannu, Muhammad Sohaib Amjad
Schedule
-
Lecture
Thursday, 12-14 (c.t.), online -
Labs
Thursday, 14-16 (c.t.), online
Exams
Oral examination (by appointment)
Successful completion of labs and homework required.
Literature
Falko Dressler, Self-Organization in Sensor and Actor Networks, Chichester, United Kingdom, John Wiley & Sons (Wiley), 2007. [DOI, BibTeX, Details...]
Holger Karl and Andreas Willig, Protocols and Architectures for Wireless Sensor Networks, Chichester, United Kingdom, John Wiley & Sons (Wiley), 2005. [DOI, BibTeX, Details...]
- Jochen Schiller, Mobile Communications, ed. 2, Addison-Wesley Longman Publishing Co., Inc., 2003. [BibTeX, Details...]
Extras
Featured Paper
- Wi-Fi Meets ML: A Survey on Improving IEEE 802.11 Performance with
Machine Learning
The Wi-Fi community is currently deploying Wi-Fi 6 and developing Wi-Fi 7, which will bring higher data rates, better multi-user and multi-AP support, and, most import...
News
- June 13, 2022
Open PhD Position at TKN
We have several new fully funded PhD positions available ... - June 09, 2022
Keynote at EuCNC 2022 & 6G Summit
Falko Dressler gave a keynote on "Going Beyond RF: Nano C... - May 23, 2022
New IEEE Communications Surveys & Tutorials article
Our article "Wi-Fi Meets ML: A Survey on Improving IEEE 8... - May 05, 2022
Best Poster Award at IEEE INFOCOM 2022
Gurjashan Pannu presented our paper titled "Vehicular Vir... - May 05, 2022
New IEEE Wireless Communications Magazine article
Our article "Data-driven Flight Control of Internet-of-Dr...