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Wireless Sensor Networks

Would you like to expand your knowledge in the field of sensor technology and system design? In the module “Wireless Sensor Networks” you will learn the basic prerequisites and unique challenges of “wireless ad-hoc networking” and discover the differences to classic wired networks. You will learn how to design and evaluate simple wireless sensor networks.

  • Gain basic knowledge of wireless sensor networks
  • Flexible blended learning format
  • Study while you work

Dates / Location / Cost

DateLocation Costs
This course has already started. Future sessions are being planned.

Institution and Location

Institution

School of Advanced Professional Studies Ulm University

Location

Ulm University

Target Audience and Prerequisites

Target Audience

The module “Wireless Sensor Networks” is aimed at bachelor, diploma or state examination graduates with solid basic knowledge in an engineering subject, technical computer science or physics, who would like to deal intensively with issues relating to sensor technology and systems engineering.

Prerequisites

Prerequisite is a first university degree e.g. bachelor, diploma, state examination etc. in a technical subject. Students should have knowledge of computer networks, operating systems and computer structures as well as programming experience in C or Python.

Content and Learning Objectives

Content

  • Introduction to Wireless Sensor Networks (WSN): requirements, applications, and examples
  • Hardware and software platforms for WSNs
  • Link-layer technologies for WSN communication
  • Networking protocols and data dissemination strategies
  • WSN security and privacy
  • Simulative and experimental evaluation
  • Related domains (e.g., vehicular ad-hoc networks, delay-tolerant networks)

Programme Details

The online study takes place in self-study and in the form of group work. For self-study, video lectures are available, which clearly present the module content, and a detailed script. The reader-friendly script is prepared according to the didactic concept of the University of Ulm for part-time participants. It contains, for example, learning stops, multiple and single choice questions, quizzes, exercises, etc.

Your mentor will offer you online consultation sessions in the form of seminars at regular intervals to help you work through the exercise sheets and thus support you in working through the learning material.

There is also another forum for participants to exchange ideas with each other.

The knowledge acquired in the online study is deepened on attendance days.

Learning Objectives

  • The participants can explain the essential requirements and special challenges of wireless ad hoc networks
  • They can recognize and explain differences to classic wired networks
  • The participants are able to design simple examples of wireless sensor network systems based on concrete application requirements and to build and evaluate these systems
  • In particular, participants will be able to select existing routing and data dissemination strategies and adapt or extend them for specific scenarios
  • They will be able to describe the state of the art in wireless sensor network research and promising future research
  • Students will be able to independently analyze new literature in other subfields
  • They will be able to explain basic concepts of security and privacy in WSNs, select appropriate protection mechanisms, and integrate them into system architectures.

Course Format, Certification, Quality Assurance

Course Format

Blended-Learning

Certification

Upon successful completion of the module, you will receive a certificate as well as a supplement that lists the contents of the module as an overview.

Workload

The module requires a total of 180 hours of workload.

Language

Deutsch / English

Dates and Deadlines

This course has already started. When new courses become available they will be added.

Lecturers

Prof. Dr. rer. nat. Frank Kargl, Director of the Institute of Distributed Systems

Would you like to know more?

Check out other modules or the Master's programme Sensor Systems Engineering: