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19D111SM - Sensor Networks

Course specification
Course title Sensor Networks
Acronym 19D111SM
Study programme Electrical Engineering and Computing
Module Computer Engineering and Informatics
Type of study doctoral studies
Lecturer (for classes)
Lecturer/Associate (for practice)
    Lecturer/Associate (for OTC)
      ESPB 9.0 Status elective
      Condition There are no official prerequisites for this course, but it is desirable: - programming skills in languages C and Java, and - basic knowledge of computer networks and wireless communication
      The goal Provide advanced knowledge of sensor networks, IoT and edge systems. Train students to design, program, and deploy scalable, secure, and energy-efficient sensor platforms. Emphasize modern challenges such as AI-driven sensing, blockchain-based trust, privacy, and integration with cloud infrastructures.
      The outcome Students will analyze architectures and protocols, program platforms (TinyOS, Contiki-NG, RIOT), and develop IoT applications. They will apply AI/ML for sensor data, address security and privacy issues, simulate large-scale systems, explore energy harvesting, and contribute to interdisciplinary research in smart cities, healthcare, and robotics.
      Contents
      Contents of lectures Foundations of sensor networks, IoT and cyber-physical systems; architectures and protocols; AI/ML for data; operating systems and cloud platforms; energy harvesting and sustainability; adaptive and resilient systems; simulation tools; integration with robotics, vehicles, biomedical devices; edge/fog orchestration and interoperability standards.
      Contents of exercises Laboratory exercises in sensor networks
      Literature
      1. C. Lin , Y. Sun , W. Yang, " Wireless Rechargeable Sensor Networks for Internet of Things: Theories and Technical Paradigms," Springer 2025.
      2. B. Chander, A. B. Nirmala, K. Guravaiah, G. Kumaravelan, "Intelligent Wireless Sensor Networks and the Internet of Things: Algorithms, Methodologies, and Applications," CRC Press / Routledge, 2023.
      3. 1. Mohammad Iliyas and Imad Mahgoub, Handbook of Sensor Networks: Compact Wireless and Wired Sensing Systems, CRC Press, 2005
      4. 2. Selected technical and scientific papers
      Number of hours per week during the semester/trimester/year
      Lectures Exercises OTC Study and Research Other classes
      8
      Methods of teaching Mentoring
      Knowledge score (maximum points 100)
      Pre obligations Points Final exam Points
      Activites during lectures 0 Test paper 0
      Practical lessons 0 Oral examination 50
      Projects
      Colloquia 0
      Seminars 50