Data Acquisition and Transfer

Garant předmětu:

Přednášející:

Cvičící:

Předmět zajišťuje:

katedra měření

Anotace:

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.

Požadavky:

knowledge of microcontroller programming

Osnova přednášek:

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

Osnova cvičení:

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.

Cíle studia:

Studijní materiály:

[1] Hu, F., Cao, X.: Wireless Sensor Networks, Auerbach Publications 2010

[2] Priya, S., Inman, D.J.: Energy Harvesting Technologies, Springer 2010

Poznámka:

Další informace:

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