GreenIoT: An Energy-Efficient IoT Platform for Open Data and Sustainable Development

Modern societies face a variety of challenges, including environmental pollution, transportation needs, and energy supply. Many cities, like Stockholm and Uppsala, experience serious air pollution (e.g., CO, NO2, and particulate matter) and greenhouse gas emissions, which are made worse by increasing traffic congestion.

The overall goal of this project is to create an environmental sensing system and application platform for public sectors and private parties to develop practical and innovative applications based on open data for sustainable city development. We provide an integrated GreenIoT solution that makes sensor data available for governmental agencies to control traffic and make city planning decisions. The open data generated from the platform also enables citizens to make green decisions in their daily life. A major goal of the project is an integrated solution for an environmental sensing system, which enables experimentation with applications and services using open environmental data, in particular for sustainable urban and transportation planning. The GreenIoT architecture will be manifested in terms of a testbed in Uppsala.

The sensing system and application platform are built from unique technology that provides open interfaces at several levels, energy and resource efficiency, and application independence. We use a unique tool for visualization in four dimensions, which seamlessly integrates with sensor data for real-time feedback. The GreenIoT testbed and the open data allows third parties to develop and test new sensing products and solutions that could be exported to international markets, such as China and India.

Collaboration partners

Uppsala University, Royal Institute of Technology (KTH), Uppsala Kommun, Ericsson, IBM, SenseAir, Upwis, 4Dialog

External homepage:
Number of items: 3.

Ahlgren, Bengt and Hidell, Markus and Ngai, Edith C.-H. (2016) Internet of Things for Smart Cities: Interoperability and Open Data. IEEE Internet Computing, 20 (6). pp. 52-56. ISSN 1089-7801

Ahlgren, Bengt and Lindgren, Anders and Wu, Yanqiu (2016) Demo: Experimental Feasibility Study of CCN-lite on Contiki Motes for IoT Data Streams. In: 3rd ACM Conference on Information-Centric Networking (ICN 2016), September 26-28, Kyoto, Japan.

Lindgren, Anders and Ben Abdesslem, Fehmi and Ahlgren, Bengt and Schelén, Olov and Malik, Adeel Mohammad (2016) Design Choices for the IoT in Information-Centric Networks. In: 13th Annual IEEE Consumer Communications and Networking Conference (CCNC 2016), January 9-12, 2016, Las Vegas, Nevada, USA.

This list was generated on Wed Jan 18 17:49:31 2017 CET.