The new perspectives and challenges of decentralized, self-organizing systems has led to a ?urry of research activities from a large variety of different research areas, owing to the fact that such systems pose a large spectrum of different challenges. As a consequence, current research on such systems spans all the way from aspects of electrical engineering (such as energy supply and wiring of sensor devices), applied computer science (dealing with local aspects of wireless communication), all the way to high-level algorithmics (e.g., when developing distributed methods for coordinating a swarm of sensor nodes). The effective and ef?cient realization of such large scale, complex ad-hoc networking environments requires intensive, coordinated technical research and development efforts. This includes the combination of theoretical work with simulations and practical experiments.
Massive-scale pervasive information and communication systems pose a number of additional challenges, in particular due to network dynamics, mobile nodes, and heterogeneous structure. This makes it all the more important to pursue an integrated approach that combines algorithmic expertise with simulations and experiments, in the way described above. As we will describe below, our group of researchers can provide a unique blend of knowledge, allowing us to deal with scenarios such as traf?c, sports events, large herds of animals, precision agriculture, smart buildings, wearable systems, etc..
We will establish that these conceptual insights and methods have practical consequences, thus demonstrating that our consortium can put their algorithmic abilities to practical use; this will be based on simulations as well as practical experiments. We plan to carry out the work on this package in three different ways:
- Each group performs some amount of simulations and experiments targeted at their own speci?c aspects, making use of local expertise and local software and hardware.
- There will be one centrally coordinated simulation test bed.
- There will be one centrally coordinated experimentation test bed.
(1) makes sure that each group can use their own expertise and pace for interactively testing their own algorithmic ideas, while working on WP1, WP2, and WP3. (2) guarantees that these efforts are tied together in practical scenarios, and the solutions are compatible. (3) will provide practical applicability and validation on real-world devices; this will provide important feedback and incentives for all packages, leading to a productive research cycle. This centrally coordinated experimentation test bed will provide a hardware and software infrastructure that enables remote programming, con?guring and monitoring of a number of real-world sensor nodes.