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13M031MKS - M2M (Machine to Machine) Communications Systems

Course specification
Course title M2M (Machine to Machine) Communications Systems
Acronym 13M031MKS
Study programme Electrical Engineering and Computing
Module Applied Mathematics, Audio and Video Communications, Audio and Video Technologies, Biomedical and Environmental Engineering, Biomedical and Nuclear Engineering, Computer Engineering and Informatics, Electronics, Electronics and Digital Systems, Energy Efficiency, Information and Communication Technologies, Microwave Engineering, Nanoelectronics and Photonics, Power Systems - Networks and Systems, Power Systems - Renewable Energy Sources, Power Systems - Substations and Power Equipment, Signals and Systems, Software Engineering, System Engineering and Radio Communications
Type of study master academic studies
Lecturer (for classes)
Lecturer/Associate (for practice)
Lecturer/Associate (for OTC)
    ESPB 6.0 Status elective
    Condition
    The goal Introduction to the architectures, protocols, current technologies, and to the state of the art research of intelligent objects design. Principles of networking and integration of intelligent objects with communications networks will be studied in details.“Smart City Concept“ and M2M/IoT applications in the cities, agriculture. Business models and platforms for IoT solutions.
    The outcome After completion of the course the students will be able to: - participate in design of intelligent objects and M2M/IoT applications - participate in the integration of M2M intelligent objects with mobile communications systems - use existing IoT platforms for development of IoT applications - develop business models for IoT solutions
    Contents
    URL to the subject page http://telit.etf.rs/zaposleni/prof-dr-dejan-drajic/
    Contents of lectures Intelligent objects,definition and applications.Overview of research activities.Standardization of M2M communication systems,architectures,operating systems,communication protocols.Integration of M2M intelligent objects in mobile communication systems.Introduction to IoT,use and applications.Smart City Concept.Applications in the cities and agriculture. IoT Business models.IoT platforms.
    Contents of exercises Usage of mobile phones for the interactions with environment („participatory sensing“). Overview of mobile communication equipment (Android, J2ME i iPhone). Android applications programming. Mobile phone as a gateway. Communication via mobile network.Usage of current hardware platforms for development of M2M/IoT applications: Raspberry Pi, Arduino. Using modern IoT platforms.
    Literature
    1. Dejan Drajic, “Intrdouction to IoT (Internet of Things)”, Academic Mind, University of bElgrade – School of Electrical Engineering, Belgrade 2017
    2. Dejan Drajic, “Smart Cities”, Academic Mind, University of bElgrade – School of Electrical Engineering, Belgrade March 2018
    3. Dejan Drajic, “Business Models for IoT Solutions”, Academic Mind, University of bElgrade – School of Electrical Engineering, Belgrade December 2018
    4. Ashwani Kumar Dubey, Vijayan Sugumaran, Peter Han Joo Chong, "Advanced IoT Sensors, Networks and Systems", Springer Singapore, June 2023 (Original title)
    5. Alex Khang, Vugar Abdullayev, Vladimir Hahanov, Vrushank Shah, "Advanced IoT Technologies and Applications in the Industry 4.0 Digital Economy", CRC Press / Taylor & Francis, Feb 27, 2024 (Original title)
    Number of hours per week during the semester/trimester/year
    Lectures Exercises OTC Study and Research Other classes
    3 1
    Methods of teaching Lectures, exercises to present the specific solutions. Independent or group (team) work on projects (usage of hardware and/or software development platforms).
    Knowledge score (maximum points 100)
    Pre obligations Points Final exam Points
    Activites during lectures 0 Test paper 30
    Practical lessons 20 Oral examination 0
    Projects
    Colloquia 0
    Seminars 50