Georg Möstl

• Dipl.-Ing. Dr.
• Hardware/Software Co-Design Expert at Johannes Kepler University of Linz

In a wireless sensor network, the energy consumption of the nodes continues to impose a tight constraint. Researchers have therefore proposed several MAC protocols to decrease the energy consumption of the radio transceiver, which has increased the complexity of the firmware running on the nodes. In this paper, we show the consequences of ignoring...

After a decade of research in the field of wireless sensor networks (WSNs) there are still open issues. WSNs impose several severe requirements regarding energy consumption, processing capabilities, mobility, and robustness of wireless transmissions. Simulation has shown to be the most cost-efficient approach for evaluation of WSNs, thus a number o...

After a decade of research in the field of wireless sensor networks the energy consumption remains the dominating constraint. Complex algorithms with non-negligible runtimes must be processed by resource-limited nodes, and therefore require in-depth knowledge of the temporal behavior of the software and hardware components. However, state-of-the-ar...

Distributed piezoelectric actuators and sensors are well suited for monitoring and control of flexible structures. Sensors are designed such that their output measures specific kinematical entities (e.g. the deflection of a floor of a frame structure) or to detect and locate damage. Concerning the latter topic of damage monitoring nilpotent sensors...

Since wireless sensor networks (WSNs) are used increasingly in industrial applications, new tight constraints on the timing and power consumption behaviour arise. These constraints cannot be investigated properly by using state-of-the-art simulation tools. In our work we consider and model the WSN at different levels of abstraction in the domains h...

We present a methodology and a toolset for power aware HW/SW co-simulation including real-life application code at network level. The toolset consists of the known OMNeT++ network simulation environment and the PAWiS framework, which was extended to include time-annotated and natively executing C code, and allows detailed analysis of the power cons...

In this paper, we present a methodology to establish an accurate and power-aware simulation of wireless sensor networks. As the design of software applications running on resource-constrained sensor nodes mainly influences both timing and power consumption in the network, it is crucial to include these components in the simulation. Besides consider...