SylabUZ
Course name | Wireless networks |
Course ID | 11.3-WE-INFP-WNetw-Er |
Faculty | Faculty of Computer Science, Electrical Engineering and Automatics |
Field of study | Computer Science |
Education profile | academic |
Level of studies | Erasmus programme |
Beginning semester | winter term 2017/2018 |
Semester | 6 |
ECTS credits to win | 5 |
Course type | obligatory |
Teaching language | english |
Author of syllabus |
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The class form | Hours per semester (full-time) | Hours per week (full-time) | Hours per semester (part-time) | Hours per week (part-time) | Form of assignment |
Lecture | 30 | 2 | - | - | Exam |
Laboratory | 15 | 1 | - | - | Credit with grade |
Project | 15 | 1 | - | - | Credit with grade |
Microprocessor systems, Computer networks.
Introduction to sensor networks: Development of WPAN wireless networks. Wireless networks IEEE 802.15.x. Supply problem of sensor network nodes. Areas of application. Sensor networks: Topologies of sensor networks. Physical layer and data layer of wireless sensor networks - standard 802.15.4. Network layer and application layer - ZigBee standard. ZigBee: ZigBee protocol architecture. Operation of the ZigBee network. Central management and routing. Domains, clusters and profiles in the ZigBee network. Configuring the ZigBee network. Security implementation at the MAC, network and application level. Addressing and binding variables. Areas of application and types of application profiles. Bluetooth: Architecture of the Bluetooth protocol. Functioning of the Bluetooth network. Implementation of measurement and control functions. WPAN nodes: Types and functions of nodes in the ZigBee network and in the Bluetooth network. Designing nodes for ZigBee and Bluetooth networks. Hardware and software platforms for sensor networks. Design and analysis of communication properties of sensor networks: Selection of the topology of the designed network. Configure the coordinator and network. Determination of communication parameters of the designed network. Sensor networks on the Internet of things. Examples of applications.
lecture: conventional lecture
laboratory: laboratory exercises
project: project method
Outcome description | Outcome symbols | Methods of verification | The class form |
Lecture - the condition for passing is to get a positive grade from the exam in writing. The condition to take the exam is a positive grade from lab.
Laboratory - the condition for passing is to get positive grades from everyone laboratory exercises planned for implementation as part of the laboratory program (80%) and active participation in classes (20%).
Project - the condition for passing is to get a positive evaluation from the project
Components of the final grade = lecture: 40% + laboratory: 30% + project: 30%
Modified by dr inż. Emil Michta, prof. UZ (last modification: 24-04-2019 09:47)