440-2319/02 – Wireless Sensor Networks (BSS)
Gurantor department | Department of Telecommunications | Credits | 4 |
Subject guarantor | Ing. Roman Šebesta, Ph.D. | Subject version guarantor | Ing. Roman Šebesta, Ph.D. |
Study level | undergraduate or graduate | Requirement | Compulsory |
Year | 3 | Semester | summer |
| | Study language | English |
Year of introduction | 2019/2020 | Year of cancellation | |
Intended for the faculties | FEI | Intended for study types | Bachelor |
Subject aims expressed by acquired skills and competences
Understand how to plan wireless sensor networks. Learning outcomes are set so that the students are able to identify and apply tasks in the field of wireless sensor networks.
Teaching methods
Lectures
Tutorials
Experimental work in labs
Summary
In this course, students are introduced to the basic principles and features of wireless sensor networks used in various technical fields. The course is focused on the area of distributed sensor networks, their architecture and communication with sensors. The main goal is to enhance student’s skills with theory and practice about communication technologies for transmitting small amounts of data and methods of wireless sensor network design in the Internet of Things (IoT). The graduate will be able to theoretically and practically integrate the sensors into the existing IoT network and independently design the WSN communication infrastructure.
Compulsory literature:
Recommended literature:
Way of continuous check of knowledge in the course of semester
Conditions for credit:
It is necessary to obtain minimally 22 points till end of semestr.
2 Tests - total 16 points
2 Semestral project labs - total 28 points
E-learning
Other requirements
Recommendation: The preceding graduation Embedded control systems.
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
Lectures:
1. Introduction to WSN, principles and technologies
2. WSN Architecture
3. Sensors for WSN
4. Security of WSN
5. Media access and routing in WSN
6. WSN protocols
7. Data storage, monitoring, and visualization
8. Mobile and multimedia WSN, sensor networks on the human body
9. Localization and tracking
10. WSN and Internet of Things
Labs:
1. Training about safety, labs, credits, laboratory environment and elements of the wireless sensor network. Introduction to simulation software and its advance for WSN.
2. Network Simulator practice and design of different structures of WSN.
3. Project 1
4. Peripheral devices - connection of input / output devices of various types; test 1.
5. Wireless technologies - connection and configuration of various wireless technologies.
6. Multiple sensor interconnection - connection and configuration of multiple sensor units.
7. Server for WSN - cloud platform for collecting, analyzing and displaying data from the sensor network.
8. Process automation - control of output devices based on input values. Assignment of semestral project - Project 2.
9. Semestral project labs; test 2.
10. Semestral project labs and its submission, semestral credits check.
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction
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