Low-complexity wireless communication modeling for information flow control in sensor networks

The increasing demand for shared awareness in multi-platform sensor systems requires advanced wireless information sharing techniques. The analysis of these techniques requires information about communication resources and latency to be available in models. The work presented here introduces generic low complexity models that describe the probability of latency and the required resources in terms of communication costs. The models are meant to be used in highly realistic simulation scenarios. Therefore and for making them generic for a broad spectrum of scenarios the models are made as simple as possible. Nonetheless, they maintain the most important features of communication techniques. The models are meant to estimate the dynamic communication situation. Subsequently resource management can be used for more efficient and effective communication. The results show that real-time estimation enables grounded decision-making about whom to communicate with and that resource management enables changing the probability of delay and cost of communication.