Sensor networks
Study programs
Teaching information
Teaching form
Lecture, Numerical exercises, Laboratory exerciseStudy method
AttendanceLanguage
slovenskýHours per week (full-time)
2,1,1Hours per semester (part-time)
ZS 26,13,13Teachers
doc. Ing. Ľuboš Ovseník, PhD. Ing. Miroslav Sokol, PhD. Ing. Samuel Andrejčík
Schedule
Learning outcomes
Upon successful completion of this course, students will gain advanced theoretical and practical knowledge and skills in the field of sensors, sensor systems and networks. It focuses on deepening knowledge in the field of using wireless sensor networks in industrial and environmental practice.
Course outline
1. Introduction to the theory of sensor networks (SN/WSN) networks (basic terms and history of SN/WSN development). 2. Communication architecture of SN/WSN networks. 3. Topologies, components, and use of SN/WSN networks. 4. Standards and specifications of SN/WSN networks. 5. Layer model SN/WSN (physical and line layer). 6. Layer model SN/WSN (network, transport, and application layer). 7. Layered model SN/WSN (energy control plane). 8. Layered model SN/WSN (level of task management, mobility, and connection). 9. Routing in SN/WSN networks. 10. Security in SN/WSN networks. 11. Internet of Things (IoT).
Completion conditions
Assessment and completion of the course: Credit test and examination Continuous assessment: Student passes the continuous assessment and receives credits when he or she meets the requirement to obtain at least 21% out of 40%. Credit test Final assessment: Student passes the final assessment and passes the examination when he or she meets the requirement to obtain at least 31% out of 60%. Examination Overall assessment: Overall assessment is the sum of the assessments obtained by students in the assessment period. The overall result is determined in accordance with the internal regulations of the Technical University in Košice. (Study Regulations, the internal regulation principles of doctoral studies)
Recommended literature
1. Yang,Y.: Intelligent Internet of Things. Wiley 2020, ISBN 978-1119593546. 2. Tsiatsis,V.: Internet of Things. Elsevier 2018, ISBN 0128144351. 3. Hu,F.-Hao,Q.: Intelligent Sensor Networks. 2016, ISBN 978-1138199743. 4. Allen,M. et al.: Wireless Sensor Networks. Springer 2014, ISBN 978-1489990587. 5. Obaidat,M.S.-Misra,S.: Principles of Wireless Sensor Networks. Cambridge University Press, 2014. 6. Ferrari,G.: Sensor Networks. Springer 2012, ISBN 364-2262856. 7. Akyildiz Ian F.: Wireless Sensor Networks. Wiley 2010, ISBN 978-0470036013. 8. Almalkawi,I.T.-Guerrero Zapata,M.-Al-Karaki,J.N.-Morillo-Pozo,J.: Wireless Multimedia Sensor Networks: Current Trends and Future Directions. Sensors, 2010. 9. Mahalik,N.P.: Sensor Networks and Configuration: Fundamentals, Standards, Platforms, and Applications. Berlin, Springer, 2007. 10. Rappaport,T.S.: Wireless Communications: Principles and Practice. Prentice Hall, New York, 2002.
Notes
To successfully complete the course, it is necessary to obtain a credit and successfully pass the exam. This includes the student's participation in educational activities of direct teaching, lectures, exercises, as well as independent study and independent creative activity of the student in processing the semester assignment / assignments, project on a specified topic, to a specified extent, in a specified design of a total of 180 hours intensity of the student's work per semester.
Grade distribution
Total graded students: 211