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Explanatory Notes
Instructions
Web page:
https://moodle.fel.cvut.cz/courses/B3M38SPD
Anotation:
The aim of the course is to acquaint students with principles and limits of data transmission from sensors and similar sources of information for IoT and M2M, wireless sensor networks and specific algorithms, respecting the limiting conditions of their function. The basic algorithms of distributed information processing in sensor networks, as well as technology for energy harvesting for powering the wireless nodes of the network, will be studied.
Course outlines:
| 1. | | Introduction, motivation, goals |
| 2. | | Ad hoc & sensor networks, commonalities and differences, limitations |
| 3. | | Communication channel, data transfers, physical media, wireless signal transmission |
| 4. | | Modulation techniques in wireless systems, network topologies, medium access control |
| 5. | | Spread Spectrum, Internet of Things, UNB |
| 6. | | LoRa, IQRF, BLE |
| 7. | | LoRaWAN |
| 8. | | Routing protocols, localization in WSN |
| 9. | | NB-IoT |
| 10. | | Energy harvesting - piezoelectric, electromagnetic |
| 11. | | Energy harvesting - TEG, Electrostatic, Solar, RF Soubor |
| 12. | | Specialized power supplies, converters |
| 13. | | Low power techniques |
| 14. | | reserved |
Exercises outline:
During the labs, a project will be solved focused on the technical and program implementation of the equipment for collecting data from the sensors or the wireless network node, and their integration into the data acquisition system.
For individual project work, development kits are available for students for work at home. The lab should then concentrate on solving problems with the use of specially available measurement instruments. The course of work and its documentation will be evaluated during the semester.
Literature:
| [1] | | Hu, F., Cao, X.: Wireless Sensor Networks, Auerbach Publications 2010 |
| [2] | | Priya, S., Inman, D.J.: Energy Harvesting Technologies, Springer 2010 |
Requirements:
basic programming of microcontrollers
Keywords:
IoT, LPWAN, WSN, LoRa, NB IoT
Subject is included into these academic programs:
| Page updated 30.12.2024 15:51:10, semester: Z/2025-6, Z,L/2024-5, Send comments about the content to the Administrators of the Academic Programs |
Proposal and Realization: I. Halaška (K336), J. Novák (K336) |