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19D031MSKS - Traffic Modeling in M2M Communication Systems

Course specification
Course title Traffic Modeling in M2M Communication Systems
Acronym 19D031MSKS
Study programme Electrical Engineering and Computing
Module Telecommunications
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 The objective of the course is to familiarize students with the principles of traffic modeling, analysis, and optimization in M2M/IoT communication systems, and to enable students for independent scientific research work in this field.
      The outcome Upon completion of the course, the student will be able to analyze traffic patterns and apply appropriate mathematical and simulation models in M2M/IoT systems and will be qualified for independent scientific research work in this field.
      Contents
      Contents of lectures Introduction to M2M/IoT systems and their applications. Traffic characteristics and types in M2M/IoT systems. Analysis of existing and future applications. Overview of existing methods for analysis and modeling of traffic. Principles of application development. Statistical analysis and mathematical modeling of traffic scenarios. Principles of traffic measurement and analysis in live networks.
      Contents of exercises Practical work related to the use of existing traffic simulation tools in wireless and mobile networks. Development of new tools. Design and evaluation of M2M/IoT communication scenarios. Modeling and simulation of new applications in live networks (Mobile, Wi-Fi, LoRa).
      Literature
      1. Editors: Sebastien Ziegler, Renata Radocz, Adrian Quesada Rodriguez, Sara Nieves Matheu Garcia: „Springer Handbook of Internet of Things“. Springer Handbooks. Springer, Cham. 2024
      2. Veena S. Chakravarthi: "nternet of Things and M2M Communication Technologies: Architecture and Practical Design Approach to IoT in Industry 4.0", Springer 2021
      3. Edited by: Bharat S. Chaudhari and Marco Zennaro: "LPWAN Technologies for IoT and M2M Applications", Academic Press, 2020
      4. 3GPP recommendations
      5. ETSI recommendations
      Number of hours per week during the semester/trimester/year
      Lectures Exercises OTC Study and Research Other classes
      8
      Methods of teaching Lectures, exercises, projects, mentoring, writing paper.
      Knowledge score (maximum points 100)
      Pre obligations Points Final exam Points
      Activites during lectures Test paper 50
      Practical lessons 30 Oral examination
      Projects
      Colloquia
      Seminars 20