Module CS5153 T

Duration

1 Semester

Turnus of offer

each summer semester

Credit points

4

Course of studies, specific fields and terms:

• Master Computer Science 2019, module part, Module part
• Master Entrepreneurship in Digital Technologies 2020, module part, Module part
• Master IT-Security 2019, module part, Module part
• Master Computer Science 2014, Module part of a compulsory module, specialization field robotics and automation
• Master Entrepreneurship in Digital Technologies 2014, module part, Module part
• Master Computer Science 2014, module part, advanced curriculum

Classes and lectures:

• Wireless Sensor Networks (exercise, 1 SWS)
• Wireless Sensor Networks (lecture, 2 SWS)

Workload:

• 60 hours private studies
• 15 hours exam preparation
• 45 hours in-classroom work

Contents of teaching:

• Basics of Sensor Networks
• Architecture of Sensor Nodes and Sensor Networks
• Identities and addressing
• Wireless communication
• Data management and topology control
• Localization
• Energy harvesting
• Applications

Qualification-goals/Competencies:

• The students are able to present the potential, benefits and limitations of sensor networks.
• They are able to cope with analysis, design, and evaluation of protocols in sensor networks.
• They are able to interpret and pursue current research activities for sensor networks.

Grading through:

• exam type depends on main module

Responsible for this module:

• Siehe Hauptmodul

Teacher:

• Institute of Computer Engineering
• Dr. rer. nat. Javad Ghofrani

Literature:

• H. Karl, A. Willig : Protocols and Architectures of Wireless Sensor Networks, Wiley, 2005
• F. Zhao, L. Guibas : Wireless Sensor Networks Morgan Kaufmann, 2004
• B.-C. Renner : Sustained Operation of Sensor Nodes with Energy Harvesters and Supercapacitors Books on Demand 2013

Language:

• offered only in English

Notes:

Last Updated:

27.11.2023