IKT443 WiFi and Internet of Things
- ECTS Credits:
- 7.5
- Responsible department:
- Faculty of Engineering and Science
- Course Leader:
- Frank Yong Li
- Lecture Semester:
- Spring
- Teaching language:
- English
- Duration:
- 1 term
The course is connected to the following study programs
- Master's Programme in Information and Communication Technology
- Artificial Intelligence, 5-year master programme
Teaching language
EnglishRecommended prerequisites
The students are expected to have prior knowledge equivalent to IKT436 Advanced Internet Services and Protocolos.
Course contents
The main goal of this course is to provide the students with knowledge of the state-of-the-art technologies within the topics of WiFi networks and various kinds of IoT networks.
The course covers the following topics:
- IoT and wireless networks overview from Body Area Networks (BAN)s, Personal Area Networks (PANs), to Regional Area Networks (RANs)
- Wireless Local Area Networks (WLANs) and WiFi principles and evolution
- Medium access in WLANs and WiFi performance evaluation
- Routing protocols in IoT and ad hoc multi-hop wireless network networks
- IoT and Low Power Wide Area Networks (LPWANs)
- Wireless Sensor Networks (WSNs) and Wireless Mesh Networks (WMNs)
- Long Range Wide Area Network (LoRaWAN) and Sigfox
Learning outcomes
Upon successful completion of the course, the students should
- have comprehensive understanding of Internet of Things (IoT) technologies and in-depth knowledge of wireless networks
- have solid understanding of medium access mechanisms and routing principles in WiFi networks and multi-hop wireless networks
- have obtained both theoretical knowledge of and practical experience in various kinds of WiFi and IoT networks
Examination requirements
Compulsory assignments must be approved in order to take the examination. Information about compulsory assignments will be given in Canvas at the start of the course.
Teaching methods
Lectures, compulsory exercises and assignments, discrete-event simulations and self-study. The workload for the average student is approximately 200 hours.
Evaluation
The study programme manager, in consultation with the student representative, decides the method of evaluation and whether the courses will have a midterm- or end of term evaluation, see also the Quality System, section 4.1. Information about evaluation method for the course will be posted on Canvas.
Offered as Single Standing Module
Yes. Subject to availability or capacity.
Assessment methods and criteria
Graded assessment including two parts. An individual 4-hour written examination which counts 75% of the final grade and a technical report based on computer simulations which counts 25% of the final grade. Information about the report will be given in Canvas.
Reduction of Credits
This course’s contents overlap with the following courses. A reduction of credits will occur if one of these courses is taken in addition:
Course | Reduction of Credits |
---|---|
IKT429 – Ad Hoc Networking | 5 |