The maturing field of Wireless Sensor Networks (WSN) results in long-lived deployments that produce large amounts of sensor data. Lightweight online on-mote processing may improve the usage of their limited resources, such as energy, by transmitting only unexpected sensor data (anomalies). We detect …

What drivers of change and cluster dynamics, in particular for energy clusters, are significant to cluster development and what revision might be needed for cluster theory?

Swarm planning is a theory and practical approach to deal with uncertain futures. By anticipating scenarios such as a ‘post-carbon’ world and a ‘pre-adaptive’ landscape, it offers an alternative pathway to prepare for medium-term incremental and step changes. The focus is on the regional scale with a …

Business landscapes are changing at global, regional and sectoral levels as well as the social and ecological contexts. In order to understand what these changes are and how clusters are dealing with these, the research explores drivers of change and cluster dynamics using a Complex Adaptive Systems …

The research explores energy clusters and their adaptations to drivers of changes using a Complex Adaptive Systems (CAS) approach. CAS offers a descriptive analytical framework that helps generate insights into drivers of change and cluster developments. The pilot EnTranCE, a living lab cluster, in Energy …

This paper presents a multi-layer scheme to control a formation of three mobile robots. Each layer works as an independent module, dealing with a specific part of the problem of formation control, thus giving to the system more flexibility. In order to reduce formation errors, the proposed architecture …