13D031MSKS - Traffic Modeling in M2M Communication Systems

Course specification
Course title Traffic Modeling in M2M Communication Systems
Acronym 13D031MSKS
Study programme Electrical Engineering and Computing
Type of study doctoral studies
Lecturer (for classes)
Lecturer/Associate (for practice)
    Lecturer/Associate (for OTC)
      ESPB 9.0 Status elective
      Condition none
      The goal Objective of the course is introducing students with traffic modeling concept and principles in M2M/IoT communication systems and education for independent science research and development work in this area.
      The outcome After completion of the course the students will be able to deal with principles, procedures and Tools for traffic modeling, and participate dimensioning of real M2M/IoT communications and to conduct Independent science research work in M2M/IoT traffic modeling area.
      Contents of lectures Introduction to M2M/IoT communication systems and their usage. Analysis of existing and future M2M/IoT applications. Introduction with methods for M2M/IoT traffic analysis and modeling. Principles for new applications development. Mathematical modeling of traffic cases. Principles of traffic capturing analysis in the live networks. Methods for development of traffic generation tool.
      Contents of exercises Practical work with existing tools for traffic simulation in wireless and mobile networks. Development of new tools. Modeling and simulation of new M2M/IoT applications in live networks (mobile, WiFi, LoRa)
      1. C. Haro, M. Dochler Machine to Machine Communications, Architecture, Performance and Applications, Woodhead Publishing, 2015
      2. Edited by Vojislav B. Mišić and Jelena Mišić: “Machine-To-Machine Communications - Architectures, Technology, Standards, and Applications”, Publisher CRC Press, Boca Raton, FL, USA, July 1, 2014 by CRC Press
      3. Uckelmann, Dieter; Harrisson, Mark; Michahelles, Florian, eds (2011). "An Architectural Approach Towards the Future Internet of Things". Architecting the Internet of Things, Berlin, Germany: Springer. p. 8.
      4. 3GPP recommendations
      5. ETSI recommendations
      Number of hours per week during the semester/trimester/year
      Lectures Exercises OTC Study and Research Other classes
      Methods of teaching Lectures, exercises, projects, mentoring.
      Knowledge score (maximum points 100)
      Pre obligations Points Final exam Points
      Activites during lectures Test paper 50
      Practical lessons 30 Oral examination
      Seminars 20