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 C and Java, and - basic knowledge of computer networks and wireless communication
      The goal Acquiring knowledge and skills in sensor networks (SM), their features and practical implementation. Become familiar with the concepts, problems and solutions, as well as the principles of operation and implementation of the SM. Become familiar with the applications, architectures, and protocols. Handle specific SM problems such as energy efficiency, security, reliability and adaptability.
      The outcome Upon completion of this course student will: be introduced to SN applications and network protocol design; learn the various hardware and software platforms; learn to program SN platforms using TinyOS, C and Java and develop applications on wireless motes; understand research problems in energy efficiency, load balancing, graph theory, and security.
      Contents of lectures Sensor network definition; Applications, Architecture, Protocols; Data collection and processing; Operating systems for sensor networks; Energy efficiency; Security, reliability and fault tolerance; Adaptive systems; Performance and design aspects; Sensor networks simulation of large systems, Sensor networks and the Internet; Distributed Sensor Systems; Cloud sensor system
      Contents of exercises Laboratory exercises in sensor networks
      1. 1. Mohammad Iliyas and Imad Mahgoub, Handbook of Sensor Networks: Compact Wireless and Wired Sensing Systems, CRC Press, 2005
      2. 2. Selected technical and scientific papers
      3. Ranko Popovic, Miodrag Zivkovic, Wireless Sensor Network, Script, 2012
      Number of hours per week during the semester/trimester/year
      Lectures Exercises OTC Study and Research Other classes
      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
      Colloquia 0
      Seminars 50