What are Research Clusters?

CONET Collaborative Research Clusters: These are groups of individual researchers who identify a common topic of interest. They gather virtually through the website and videoconference tools, as well as physically by visiting each others. The members of a research cluster work on a topic identified by the CONET members to be interdisciplinary and of interest for the further development of the field. This will be ensured taking the roadmap as an indicator.

Objective 1: Research coordination. Starting the 2nd year, indicators of CONET progress are the number of CONET Research Clusters proposed, how they cover the roadmap topics and cluster activities (number and quality of publications, visits, collaborations with companies and outside institutions).

Objective 2: Raise awareness. Indicators of CONET progress for visibility will be the number of CONET Research Clusters accepted, their activities and their web site accesses.

Objective 3: Focus on key issues, Research steering. Indicators of CONET progress are how the clusters cover the roadmap topics, starting the 2nd year.

Objective 4: Interaction and exchange of information. Indicators of CONET progress are the same as for integration and visibility (objective 1 and 2), but are broken down into the research topics defined by the CONET Research Clusters and specified by the different calls.

General Information about current Clusters

For an overview of the contents and work in the different research clusters, have a look at the following presentation:

• Research Clusters Overview

Please notice that some of the slides used to motivate the work in the clusters might be results of other projects and are not exclusively results produced within CONET.

Current research clusters

• Using COTS for QoS in Cooperating Objects Networks
• Deployment and Management of Cooperating Objects
• Mobility of Cooperating Objects
• Recognizing Emotions using Wireless Sensor Networks
• Resource Management and Adaptation
• Scalable Data Processing

Former research clusters

• Ubiquitous Integration of Cooperating Objects