In this course, we will build a prototype for an autonomous drone-based water quality management system. In the future, we plan to extend the system so it can be used to control the water quality of Lake Nokoué, in Benin, West Africa, which regularly suffers from water pollution. 

We will use drones, Raspberry Pi-based cars from the duckie town project, and other smart devices. These devices and a set of web services will enable an autonomous system to measure the water quality in a lake near our hotel. The samples will be collected every day and flown back to the laboratory base at our hotel. 

Drones and other moving smart devices such as the Raspberry Pi-based cars will communicate with each other to enable a high degree of automation. All moving devices will use inductive charging technology always to be ready for their next mission. Drones can use charging stations along the way to enable longer travel distances for longer mission.

To build and deploy the software to the IoT devices, we will focus on continuous software engineering. We will use frameworks such as Apodini to push the boundaries of continuous software deployment involving heterogeneous IoT devices. 

The project will address following topics:​

• Continuous software engineering for IoT systems
• Inductive charging for heterogeneous IoT devices 
• Autonomous drone flight
• Decentralized peer-to-peer architecture for IoT devices