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ADA528 Sensor networks

Course description for academic year 2024/2025

Contents and structure

This course covers technologies and methods used in wired and wireless communication system supporting a wide range of applications such as healthcare, environmental monitoring, industrial applications, smart grid and smart cities. These technologies require efficient, reliable, and predictive communication solutions. The focus is on industrial applications and challenges related to Industry 4.0. Following an introduction of network operations, advanced network solutions, requirements, and issues will be discussed. Specifically, the course covers topics such as media access and routing, addressing solutions related to reliability, latency, energy consumption, and so forth.

Learning Outcome

Knowledge

The student…

  • knows the strength and weaknesses of key communication protocols.
  • is able to explain the fundamental methods to meet delay requirements, reliability requirements, energy limitations, and scalability requirements.
  • is able to identify and discuss challenges and solutions for industrial networks.
  • can identify solutions that are applicable for various use cases.

Skills

The student…

  • can construct simulation models of protocol solutions for sensor networks.
  • can assess the applicability and limitations of simulation-based performance analysis of sensor networks.
  • can build and implement wired sensor networks.
  • can build and implement wireless sensor networks.
  • can describe the ethical design of network solutions.

General competency

The student…

  • has competence to assess various protocols/ network architectures.
  • can discuss and analyse different network solutions according to requirements.
  • can assess the applicability and limitations of simulation-based performance analysis of wireless sensor networks.
  • understand ethics related to security and privacy in view of storing and transmission of data.

Entry requirements

None.

Teaching methods

Lectures and laboratory work.

Student-oriented learning methods will be used in the course.

Compulsory learning activities

2 project/ laboratory experiments.

In order to take the examinations, the assignments must be approved.

Assessment

Written digital exam, duration: 4 hours

Exam graded A-F, where A equals excellent and F equals failed.

Examination support material

All written materials and content on local computer. No network communication, except WiseFlow.

More about examination support material

Course reductions

  • PCS921 - Trådlause sensornettverk - Reduction: 10 studypoints
  • PCS928 - Sensornettverk - Reduction: 8 studypoints