Program/Schedule

During the last two decades we have seen a tremendous rise of opportunities and technology in the areas of sensor technology, data processing and communication, and wireless (as well as wired) network technology. This has lead, together with an on-going trend in miniaturization and integration of sensors and electronics, to the concept - and in part the advent - of the so-called Internet of Things: Small functional units, in most cases wireless electronic sensor systems, are distributed across large environments and serve as distributed network nodes, in order to acquire, process and transmit data in a complex networking fashion. Reaching from consumer and biomedical applications over industrial process control and smart home appliances to environmental sensing and precision agriculture, this Internet-of-Things may span, in a near future, over almost every area of our daily living.

When addressing this topic, every designer, potential supplier or user of this technology will run into complex questions of system design, operation and application, related to the following basic questions :

• How to supply an embedded system node with energy, with mimimum effort in installation, maintenance and cost?
• How to enable a reliable operation of the same, given a limited on-site energy budget and detrimental influences onto e.g. wireless communication ?
• How to operate such systems in different application scenarios with their respective requirements and boundary conditions?

This one-day course will give a basic insight and overview on these three questions, with a focused discussion of energy-autonomous embedded systems, using energy harvesting for their supply instead of costly and maintenance-intensive power grids or batteries. This will continue into concepts of local energy storage, wireless communication and, finally, application-adapted system design. Practical case scenarios and demonstrated applications are shown e.g. for consumer applications, smart home, environmental sensing or industrial process control.