Design
Smart Street Lighting for Sustainable City District
Overview
What this challenge is about.
Your task is to design a smart street lighting system for a 10-block area in Freiburg's city center. Use PIR motion sensors and ambient light sensors to detect pedestrians and vehicles. Lights should dim to 20% when no activity is detected and brighten to 100% when presence is sensed. Data must be transmitted via a mesh network (e.g., Zigbee) to a central management platform. Success means achieving 40% energy savings while maintaining safety. Constraints: retrofit existing poles, budget €500 per pole, and comply with German data privacy laws. Deliverables include network topology, sensor integration plan, control algorithm pseudocode, and energy savings projection.
The Brief
What you'll do, and what you'll demonstrate.
Design an IoT-based adaptive street lighting system to reduce energy consumption and improve safety in a city district.
Earning criteria — what you'll demonstrate
- Understand IoT network topologies (star, mesh) and their trade-offs
- Select and integrate sensors for environmental monitoring
- Design a simple control algorithm for adaptive systems
- Calculate energy savings from IoT-based optimization
- Consider privacy and regulatory constraints in IoT deployments
Program Fit
Where this fits in your program.
Sharpens the same skills your degree expects you to demonstrate.
Skills
Skills you'll demonstrate.
Each one shows up on your verified credential.
Careers
Roles this prepares you for.
Real titles. Real skill bridges. Pick the one closest to your trajectory.
Career mappings coming soon.