Project Topics (Fall 2019)
A GUI for The Things Network LoRaWAN stack v3 [SB]
The Things Network Stack v3 for LoRaWAN is an open source LoRaWAN network stack suitable for large, global and geo-distributed public and private networks as well as smaller networks. The architecture follows the LoRaWAN Network Reference Model for standards compliancy and interoperability. - https://github.com/TheThingsNetwork/lorawan-stack This stack, currently in pre-rollout testing, however has no Web GUI yet, and is administered solely via a CLI. This project aims at building a user-friendly, inclusive and innovative web GUI, with hooks to new informative features such as node and gateway statistics, location services and others. An example of such additonal features are the gateway stats made available by https://ttngw.rexfue.de/Copenhagen. This project is largely a full stack web development project, ambitious in that it combines the need for understanding UI development with knowledge of basic Linux, docker, databases, CLI features and LoRaWAN architecture.
Mobile Air Quality Monitoring [SB, PB]
New types of networks such as LoRaWAN and Sigfox enable us to deploy inexpensive mobile Air Quality Sensors, e.g. on bicycles or vehicles, boats or trains, and help map and understand urban pollution. Such data would be valuable for e.g. the international citizen science project Luftdaten https://luftdaten.info/en/home-en/ in which we are participating. We have an ongoing collaboration with the Asian Instite of Technology, Bangkok, experience in collaborationg with the Institute for Environmental Science, and a concrete request from a municipality here in Denmark.
The TrekkTracker [SB]
In collaboration with the IoT Lab at Computer Science Dept at Kathmandu University, Nepal, we are developing a potential service for tracking trekkers, i.e. offering a security service for tourists trekking the Himalayas, in particular Mt. Everest. This service very critically depends on having a robust hardware component, the actual GPS/GNSS tracker. Requirements with respect to battery life, temperature, physical environment are extremely challenging, and need to be tackled in a combination of hardware and software optimization. The final product would be a miniature location sensor with additional environmental data sensors and explicit interaction features, such as simple buttons for confirming status. This project combines hardware engineering with embedded systems aspects.
The ms IoT gateway [PB, SB]
Most data collection in IoT does not critically depend on latency or speed from data collection to data analytics. Occasionally though we meet tasks that would benefit from near-realtime features, such as collection of wave and tidal dynamics around marine energy infrastructures. This project explores the limits of speed by bringing together a LoRa PHY, a LoRaWAN gateway, LoRaWAN stack, ultrafast storage and near data processing in one physical unit. This project combines hardware, software and networks aspects of embedded computing.
Small Smart City [SB, PB]
Not far from the IT University, citizens are buillding a “Small Smart City”, aiming to measure and analyze e.g. water and resource consumption. Help build the Small Smart City!
Satellite Data [SB, PB]
Can we combine satellite data with terrestrial and marine sensor data, to study their correlation, and benefit our understading of environmental processes, both in urban and agricultural/rural context? Potential collaboration with several organizations in Kenya and Orkney islands.